Faculty Senate Minutes Regular Meeting February 13, 2014
The Faculty Senate was called to order by Robert Rosenman, Chair on Thursday February 13, 2014, in FSHN T101 at 3:30 p.m. Thirty-seven (37) members were present with thirteen (13) absent and seven (7) nonvoting members present.
Minutes of January 30, 2014 meeting were approved as circulated.
Announcements (Information items).
Elections Procedures for Chair Elect (Exhibit S )
Election of Chair Elect
Dates and procedures will be announced at Feb 13 meeting
February 25, 2014 -(Tuesday) – Formal nominations for the position of Chair-elect of the Faculty Senate are due to the Executive Secretary by 5 PM
February 27, 2014 (Thursday) – candidates announced to Senate February 28, 2014 (Friday) – ballots sent to all senators
March 25, 2014 (Tuesday)– ballots due March 27 (Thursday)– Chair elect announced
March 28 (Friday) – if no clear majority and second ballot will be distributed with the names of the top 2 candidates in accordance with the Senate ByLaws.
April 4 (Friday) – second round of ballots due 5 PM April 10 (Thursday)– Chair elect announced
Eligibility
Section 1 C of Senate Constitution
Chair Elect The Chair Elect of the Senate shall be elected by and from the membership* of the Senate, from among those individuals who have served in the Senate within the previous four academic years or those who have served on the Steering Committee in the previous four years. The Chair Elect shall assume the duties of the Chair in the absence of the Chair.
*I.e., both continuing Senators and those whose terms are expiring are eligible for election.
Procedures
Ballots will be sent to a dedicated e-mail.
Ballots will be placed on CD/DVD which will be signed and sealed
March 26th, the CD/DVD will be opened by the Executive Secretary and the President of ASWSU and the ballots counted.
March 27th results announced to the Senate
Section III #4 of Senate ByLaws
All elections of officers shall take place by a majority of those present and voting. If no candidate secures a majority, a run-off election shall be conducted between the two candidates with the highest number of votes.
Minor Change Bulletin #6 (Exhibit T)
M E M O R A N D U M TO: Deans and Chairs FROM: Becky Bitter, Assistant Registrar DATE: February 6, 2014 SUBJECT: Minor Change Bulletin No.6 The courses listed below reflect the minor curricular changes approved by the catalog editor since approval of the last Minor Change Bulletin. The column to the far right indicates the date each change becomes effective.
Subject
Course Number
New Revise Drop
Current
Proposed
Effective Date
ANTH
576
Revise
Palynology4 (3-3) Pollen andspore morphology, evolution,production, dispersal, andpreservation; index fossils,dating, archaeology, andvegetational history. Field triprequired.
Paleoethnobotony4 (3-3) Methods of analysis and interpretation of botanical remains recovered from archeological sites, including pollen, phytoliths, starch, wood, and macro-botanical remains.
1-15
BIOLOGY
233
Drop
[BSCI] Human Nutrition, Health, and Disease 3 Applying principles of chemistry, biology, and physiology to the study of nutrition emphasizing nutrient functions, nutrient requirements and impact of diet on health and disease. Recommended preparation: BIOLOGY or CHEM course; or BIOLOGY 251 or 315.
–N/A-–
8-14
BIOLOGY
331
Drop
Nutrition in the Human Life Cycle 3 Course Prerequisite: BIOLOGY 140 or 233. How growth and development
–N/A-–
8-14
impacts nutrient requirements throughout the life cycle.
CROP SCI
104
Drop
Introduction of Turfgrass Science and Industry 1 (0-3) Introduction to turfgrass science and industry including golf, sports, lawn, sod and related facilities. Field trip required.
–N/A-–
5-14
CROP SCI
317
Drop
Turfgrass Management Environmental Issues 3 Turfgrass management and practices relating to environmental issues and concerns for golf courses, athletic fields and other public areas. Recommended preparation: CROP SCI 301.
–N/A-–
5-14
CRS
435/535
Drop
Resolving Environmental Conflicts 4 (3-3) Course Prerequisite: 6 credits [S] or [K] GER, or [SSCI] UCORE; junior standing. Introduction to environmental conflict resolution via readings, discussions, simulation role plays and required papers; emphasis on interest-based approaches. Offered at 400 and 500 level.
–N/A-–
5-14
ENGLISH
298
[WRTG] [W] Writing and Research Honors 3 Course Prerequisite: AppropriateHonors College WritingDiagnostic score. Critical thinking, research, and advanced writing for Honors College students.
[WRTG] [W] Writing and Research Honors 3 Course Prerequisite: Must be an Honors student. Critical thinking, research, and advanced writing for Honors College students.
5-14
ENGLISH
299
Writing Tutorial for Honors Students 1 (0-3) May be repeated for credit; cumulative maximum 5 hours. Course Prerequisite: AppropriateHonors College WritingDiagnostic score. Student- centered group tutorial focusing on writing improvement usually connected to the ENGLISH 298 course. S, F grading.
Writing Tutorial for Honors Students 1 (0-3) May be repeated for credit; cumulative maximum 5 hours. Course Prerequisite: Must be an Honors student. Student- centered group tutorial focusing on writing improvement usually connected to the ENGLISH 298 course. S, F grading.
5-14
GEOLOGY
102
Revise
Physical Geology 4 (3-3)
Physical Geology 4 (3-3)
8-14
Course Prerequisite: Certifiedmajor in sciences, engineering,or in the Honors College. Modern concepts of earth science; mineral rock, resource, and map study. Field trip required. Credit not granted for more than one of GEOLOGY 101, 102, 180.
Course Prerequisite: MATH 106 or concurrent enrollment. Modern concepts of earth science; mineral rock, resource, and map study. Field trip required. Credit not granted for both GEOLOGY 101 or 102.
HISTORY
308
Revise
North American Indian History, Precontact to Present 3 History of North American Indian peoples from circa 1350 to present. (Crosslisted course offered as HISTORY 308, CES 375).
North American Indian History, Precontact to Present 3 History of North American Indian peoples from circa 1350 to present. (Crosslisted course offered as HISTORY 308, CES 375). Cooperative: Open to UI degree-seeking students.
[M] Machine Design I 3 Course Prerequisite: MECH 215; MECH 309; Certified major in Mechanical Engineering. Design process, factor of safety, stress- deformation, combined stresses, curved members; deformation analysis, static and fatigue failure theories; design of mechanical elements, stress analysis and finite elements; shafts and coupling design.
5-15
MECH
414
Revise
Machine Design3 Course Prerequisite: MECH 215;MECH 309; MECH 314; Certified major in MechanicalEngineering. Combinedstresses, static and fatiguefailure theory and analysis,design and selection of machineelements such as shafts,fasteners, springs, gears andbearings.
Machine Design II3 Course Prerequisite: MECH 314. Static and fatigue failure theories applied to design of mechanical elements, stress analysis and finite elements; design for fatigue life of various mechanical elements, design and selection of standard mechanical components, design of clutches and brakes.
8-15
NURS
492
Revise
Essentials of Disaster Management for Nurses3 Course Prerequisite: Certified major in Nursing; junior standing. Natural and manmadedisasters; nursing implicationsfor disaster management;mental health and ethical issues
Essentials of Disaster Management for HealthProfessions3 Course Prerequisite: Certified major in Nursing; junior standing. Implications for disaster management across the health professions. Mental health and
5-15
and concerns related tovulnerable populations.
ethical issues and concerns related to vulnerable populations.
PL P
526
Revise
Advanced Fungal Biology 4 (2-6) Course Prerequisite: PL P521. Advanced topics in fungal biology, ecology, systematics, evolution and coevolution via discussions of literature and special laboratory projects. Cooperative: Open to UI degree-seeking students.
Advanced Fungal Biology 4 (2-6) Advanced topics in fungal biology, ecology, systematics, evolution and coevolution via discussions of literature and special laboratory projects. Cooperative: Open to UI degree-seeking students. Recommended preparation: Introductory mycology and genetics coursework.
8-14
SOIL SCI
451
Drop
[M] Soil Geography 3 (2-3) Study the geographic distribution of soil features and properties at hillslope to global scales. Field trips required.
–N/A–
5-14
VET MED
510
Revise
Veterinary Microscopic Anatomy 5 (3-6) Course Prerequisite: Veterinary Medicine student. Microscopic functional morphology of the cell, tissues, and selected organ systems of domestic animals. S, M, F grading.
Veterinary Microscopic Anatomy 4 (3-3) Course Prerequisite: Veterinary Medicine student. Microscopic functional morphology of the cell, tissues, and selected organ systems of domestic animals. S, M, F grading.
5-14
Announcements (Reports).
Remarks by the Chair.—R. Rosenman
Nominations are being accepted for the Faculty Status Committee. Nominations are being taken for the Provost search and should be directed to Chris Hoyt.
Campus Master Plan presentation by Roger Patterson and Bobbi Ryder
Additions or Changes to the Agenda. No changes.
Agenda Items. (Action Items)
Recommendation from Research & Arts Committee for the Smart Environments Research Center. (Exhibit C ) As follows:
Proposal to Faculty Senate Washington State University
Smart Environments Research Center
Introduction
Our society faces significant challenges in sustaining and improving the environments in which we live and work. For example, we need to provide for the health of the growing elderly component of our population. We need to provide security for the critical infrastructures of these environments. We need to improve the efficiency of our resource utilization in order to sustain these environments in the face of ever- increasing demands on productivity and economic growth. At the same time, we also enjoy an unprecedented ability to collect large amounts of data (or “big data”) from these environments, mine the data for new knowledge, and take actions to effect changes in the environments in order to improve health, security, efficiency and sustainability. A multi-disciplinary team of researchers at WSU is already working on approaches to collect and analyze data in order to sustain and improve these environments. The WSU team is recognized both nationally and internationally for their accomplishments in these areas, and they have established significant interdisciplinary collaborations with other academic, industry and government institutions. Therefore, in order to provide a focal point for this work, accelerate growth and collaboration, and further establish WSU as a leader in this area, we propose the formation of the WSU Smart Environments Research Center (SERC).
Nature and Scope of Activities
The mission of SERC is to enable the environments in which we live and work to be safer, healthier and more efficient through the use of intelligent data analytics and adaptive systems. SERC will pursue this mission through multi-disciplinary research, education, outreach, and technology development and transfer in areas related to data analytics and adaptive systems for smart environments. Our vision is for SERC to become a nationally and internationally recognized center of excellence in the study of data analytics and adaptive systems for smart environments. The main strategy for achieving these goals is to facilitate and promote multi- disciplinary research within WSU and in collaboration with other academic, industry and government institutions.
Already, the core faculty within the WSU School of Electrical Engineering and Computer Science (EECS) are collaborating with faculty from the WSU Department of Mechanical and Materials Engineering, the School of Chemical Engineering and Bioengineering, the School of Nursing, and the Department of Psychology in order to investigate the use of adaptive systems to automate homes in order for elderly inhabitants to stay in their homes longer, substantially benefiting their own well-being and that of their family and care-givers, as well as reducing the costs and other resource burdens on an already stressed healthcare system. This multi- disciplinary effort has resulted in numerous grants from the Life Sciences Discovery Fund (LSDF), the National Institutes of Health (NIH) and the National Science Foundation (NSF), including an ongoing $3M grant from NSF’s Integrative Graduate Education and Research
Traineeship (IGERT) program. Data analytics and adaptive software systems developed from this research have been globally disseminated and published in top-tier venues1. The WSU team is also working in collaboration with the Oregon Health and Science University, University of Missouri, University of Florida, University of Texas at Arlington, University of Essex, University of Ulster, Dartmouth University, and industry firms Bosch and Cisco. Current efforts are underway to commercialize the technology for residential installations.
SERC researchers are also involved in the study of data analytics and adaptive systems for safety and security in smart environments related to defense and homeland security, which involves a collaboration among WSU EECS faculty, the Pacific Northwest National Laboratory (PNNL), and the Tennessee Technological University. This research involves the fusion of data from multiple, diverse sources, including sensor data from critical infrastructure systems and environments. The analysis of this fused data has revealed new insights into the threats both internal and external to the environments for which we want to maintain safety and security. This research has been funded by the Department of Homeland Security (DHS), the Department of Defense (DOD), and the Department of Energy (DOE).
SERC researchers are collaborating with individuals from the WSU Power Systems group, the Pacific Northwest National Laboratory (PNNL), and Avista Corporation to research data mining methods for power data. Specifically, SERC researchers are designing algorithms to process, predict, and utilize whole-home energy usage information provided by smart meters placed in 20,000 buildings around the Palouse. The results of this research provide insights on the link between in-home behavior and energy usage and will be used to improve the Smart Grid as well as design mobile apps to monitor and automate energy-efficient smart homes. The project is funded by the Department of Energy (DOE).
SERC researchers are conducting multi-disciplinary research in drug development, computational biology, climate modeling and engineering design. In collaboration with faculty in the Department of Veterinary Microbiology and Pathology and the Paul G. Allen School for Global Animal Health, SERC EECS faculty are developing adaptive machine learning algorithms to predict specific types of proteins in pathogens with applications to drug development and to understanding the mechanisms used to destroy host cells. SERC EECS faculty also develop algorithms for some of the most important data-intensive applications in modern day life sciences including: characterization of environmental microbial communities; sequencing and annotation of complex plant genomes; and vaccine development for diseases at the interface of cattle and humans. They design novel algorithms and software that can scale to next-generation supercomputers and multicore architectures. The research is in collaboration with leading plant scientists, veterinary microbiologists, and systems biologists. SERC EECS faculty have also recently been involved in research collaborations with faculty from environmental engineering to study regional climate modeling. They are developing cyberinfrastructure for modeling the process-level interactions among atmospheric, terrestrial and aquatic layers in the Pacific Northwest region. This research is supported through grants from the National Science Foundation, the Department of Agriculture and the Department of Energy.
Cook, Diane J. (2012). How smart is your home? Science, 335:1579-1581.
As the aforementioned activities demonstrate, SERC researchers have established strong and vibrant multi-disciplinary research programs within the context of the SERC mission. Therefore, the formation of SERC will serve to focus and grow these collaborations. In addition to the scholarly output of SERC, consisting mainly of publications, data repositories and software, we also intend to pursue major funding for these activities and for the center as a whole. Over the last five years, SERC researchers have increased research expenditures from $1M in 2007 to $3M in 2012, and we project a level of $6M per year by 2016. SERC researchers have also contributed to a 30% increase in graduate student enrollment in SERC-related areas over the last five years (2007 to 2012), many of which come from minorities and underrepresented groups. We anticipate an additional 30% increase in graduate student enrollments in the next three years based on the popularity of the center’s research areas, the ability to provide financial support to these students based on anticipated increases in funding, and the expected increase in faculty recruited to the EECS program and other programs in the College of Engineering and Architecture. EECS is currently in the process of recruiting two faculty members in the area of smart environments: one junior level tenure track, and one senior level tenured. We anticipate hiring an additional two junior level tenure-track faculty in the smart environments area in 2014. These new EECS SERC faculty members will improve the status and recognition of the center and help us meet or exceed our funding and enrollment milestones.
The director and core faculty will pursue several strategies for achieving the goals of SERC. They will facilitate multi-disciplinary projects and grant proposals by exploiting overlapping and complimentary interests between existing SERC researchers and others at WSU, other institutions, government laboratories and industry. SERC will host meetings or workshops designed to bring these groups together in order to initiate multi-disciplinary research, large- scale grant proposals, technology development and technology transfer. SERC will solicit industry sponsorship and partner donations to help fund SERC activities. SERC will also invite internationally recognized researchers and practitioners in SERC-related areas to visit WSU. The SERC director and core faculty will promote center activities at K-12 and undergraduate institutions in order to attract future students into SERC-related areas and recruit top undergraduate and graduate students to WSU. Finally, SERC will continue to impact educational programs at WSU through the development of new multi-disciplinary curricula in SERC-related areas. The director and core faculty will be primarily responsible for pursuing the above strategies toward the goal of establishing SERC as a nationally and internationally recognized center of excellence in the area of data analytics and adaptive systems for smart environments.
Director Selection and Term
Director
The goals, members and resources of SERC reside primarily within the School of Electrical Engineering and Computer Science (EECS). Therefore, the Director of SERC will be appointed by the Director of the School of EECS in consultation with the Dean of the College of Engineering and Architecture (CEA). The Director of SERC will serve for a renewable five-year term. Re-appointment will be subject to a comprehensive review. Dr. Lawrence Holder has been appointed as Director of SERC for an initial three-year term ending August 31, 2016. His curriculum vitae is attached in Appendix B.
Core Faculty
The SERC Core Faculty, including the Director, will serve to steer the direction of the center. The following are the Core Faculty participants in SERC, who have collaborated significantly on SERC-related projects, including being PIs on the recently funded NSF IGERT project on Health-Assistive Smart Environments. Their curricula vitae are attached in Appendix B. The Core Faculty will meet regularly to consider the status and future directions of the center. They will also seek input from core constituencies (see below) to inform their deliberations.
Name
Discipline
Affiliation
Diane Cook
Machine learning, activity recognition and prediction
School of Electrical Engineering & Computer Science (EECS)
The following lists additional Participating Faculty in SERC. Participating faculty are those faculty whose research and/or education interests are related to those of SERC and who wish to be affiliated with the center. We will continue to pursue cross-disciplinary affiliations for SERC and seek to facilitate collaborative research among its members.
Name
Discipline
Affiliation
David Bakken
Middleware, software engineering
EECS
Gregory Belenky
Sleep and performance
Sleep and Performance Center, WSU Spokane
Nancy Blossom
Design for health, design for older adults
WSU Interdisciplinary Design Institute (IDI)
Anjan Bose
Energy use for conservation, load control
EECS
Shira Broschat
Data analysis for drug development
EECS
Cindy Corbett
Diabetes pain management, intervention for older adults with chronic illnesses
College of Nursing
Dennis Dyck
Family caregiver
Psychology
Lisa Fournier
Visual attention, memory, perception and action
Psychology
Christine Horne
Technology and Society
Sociology
Deuk Heo
Design of batteryless wireless sensors
EECS
Chris Hundhausen
Human-computer interaction
EECS
Sankar Jayaran
Immersive environments, modeling
School of Mechanical & Materials Eng. (MME)
Uma Jayaram
Virtual reality for ergonomic studies, human factors, modeling
MME
Ananth Kalyanaraman
Computational biology
EECS
George LaRue
Sensor design
EECS
Janet Purath
Fitness assessment of older adults
College of Nursing
David Lin
Rehabilitation medicine
Bioengineering
John Roll
Substance abuse and addictive disorders
College of Nursing
Eugene Rosa
Technology and Society
Sociology
Nirmalya Roy
Wireless sensor networks
EECS
Bob Scarfo
Housing design for older adults
IDI
Krishna Sivakumar
Network data fusion and clustering
EECS
Matt Taylor
Learning, multiagent systems, robotics
EECS
Hans Van Dongen
Sleep and cognition
Sleep and Performance Center, WSU Spokane
Anita Vasavada
Biomechanics and neural control
Bioengineering
Paul Whitney
Memory and executive function
Psychology
Industry and Government Participants
SERC has established collaborations with several industry and government representatives, which are listed below. These participants perform research and development in SERC-related areas, are involved in related legislative and policy issues, and have ongoing student and faculty internship opportunities in these areas. Industry and government participants are those individuals or institutions whose interests are related to those of SERC and who wish to be affiliated with the center.
Name
Discipline
Affiliation
Farzin Guilak
Home health technologies
Intel
Archan Mishra & Chatschik Bisdikian
Location monitoring and telepresence
IBM
Bhaskar Srinivasan & Burton Andrews
Health monitoring
Bosch
Sateesh Vijay
Networking for home automation
Cisco
Tom Fritz
Health information technology
INHS
Darcy Clark
Medicine management
Talyst
David Kortenkamp
Robotic assistance
NASA
Patty Murray
Health policy
U.S. Senate
Colleges and Departments Involved
The following WSU colleges and departments are involved in SERC.
College of Engineering and Architecture
School of Electrical Engineering and Computer Science
School of Mechanical and Materials Engineering
School of Chemical Engineering and Bioengineering
Department of Civil and Environmental Engineering
College of Liberal Arts and Sciences
Department of Psychology
Department of Sociology
College of Nursing
College of Pharmacy
WSU Interdisciplinary Design Institute
Amount of Budgetary Support Requested
The goal for SERC is to be self-sustaining within three years, mainly through a projected increase in external funding for the center via federal research grants, indirect cost returns, and gifts. Specific funding needs for SERC include the following.
Director’s ADR including benefits. Funding to be provided by center resources.
Manager salary and benefits. The center manager will be responsible for outreach activities, assistance with grant and contract development and maintenance, and center administration. Half-time for first three years; full-time thereafter. Funding to be provided by center resources.
Operations, office support, supplies and equipment. Funding to be provided by center resources.
Expected Funding Needed from University, State, External Awards or Gift Sources
Current external funding level is $3M per year with a projected level of $6M per year by 2016. We project that the center will be self-sustaining within three years based on indirect cost returns from center proposals and industry gifts in the form of donations and SERC graduate student assistantships (GRAs). Given the high level of industry interest in SERC-developed research and technology, we will solicit industry funding to maintain four SERC GRAs to help recruit new PhD students into SERC disciplines, facilitate multidisciplinary research within the scope of the center, and provide a mechanism for industry participants to focus research on their areas of interest, stay abreast of new SERC developments, and benefit from the scientific results of SERC research. GRAs will be funded at standard university levels with some additional funding requested of industry participants to support center operational costs. Student recipients of the SERC GRAs will be determined based on applications reviewed by the SERC Core Faculty.
Needs for Space, Equipment and Supplies
The space, equipment and supplies needs for SERC are currently being met by existing lab space and external funding. SERC encompasses three main laboratory spaces in the School of EECS as well as affiliated research laboratory space elsewhere in EECS and in other departments and colleges. Equipment needs are currently being met, although additional computing resources and living laboratory environments are anticipated needs for the near future. Supplies needs are currently met via external funding. However, an additional 3200 sq. ft. laboratory space will be needed to support new SERC faculty: two in 2013 and two in 2014.
Expected Contribution to and Impact on the Instructional Programs
SERC will contribute to the instructional programs by introducing new courses in SERC-related areas, training graduate students to perform research and pursue research careers in SERC- related areas, and providing new graduate programs either at the certificate or degree level. Already through one of SERC’s primary grants, the NSF IGERT grant for Health-Assistive Smart Environments, we have introduced two new courses on Gerontechnology and Smart Environments, are providing ten graduate research fellowships per year, and are offering a graduate certificate in Health-Assistive Smart Environments. As instructional and research resources grow, we will expand these instructional programs. These new offerings will also have a significant impact on existing instructional programs. The new courses are available to all WSU students and complement existing programs in other departments and colleges, e.g., in the areas of global health and sustainability.
Expected Contribution to University and Other Clients
SERC will contribute to the university in several ways. As mentioned above, the new programs in health-assistive environments and opportunities for multi-disciplinary graduate research will contribute to the university’s goal of expanding graduate-level research. Our already-established collaborations with other institutions, industry and government will help to improve WSU’s standing in these communities. The SERC focus on data analytics and adaptive systems in a variety of environments will provide a common theme around which to promote multi- disciplinary collaborations that can successfully pursue large external multi-disciplinary research grants. SERC’s focus on data analytics, specifically the collection, management, mining and visualization of large amounts of data from a variety of domains, will also provide a much needed source of expertise for ongoing data analysis efforts across WSU. The increased visibility of SERC as a university-approved center will provide a recognizable research unit to attract external gifts to support and expand the scope and impact of the center.
Beyond the university and research communities, SERC stands to make a significant contribution to several sectors of society both economically and in terms of quality of life. Again, the focus of the current grants that fund SERC activity are on data analytics for improving the adaptability of homes to allow elderly inhabitants to live at home longer while maintaining their health and safety. This data analytics and adaptive systems approach can also be applied to other environments, including workplaces, cities, public areas, ports of entry, and ecological and biological environments, to improve our ability to monitor, automate, protect and preserve these environments. A major goal of SERC is to transition the research and technologies into society via dissemination of information and commercialization of developed technologies.
Supporting Letters
The director of SERC will report to the Director of the School of Electrical Engineering and Computer Science and the Dean of the College of Engineering and Architecture. A letter of support from these individuals is included in Appendix A.
Appendix A
Letter of support from the Director of the School of Electrical Engineering and Computer Science and the Dean of the College of Engineering and Architecture.
WASHINGTON STATE UNIVERSITY
School of Electrical Engineering and Computer Science
TO: Research and Arts Committee
FROM: Candis Claiborn, Dean of College of Engineering and Architecture / :ft_
Behrooz Shirazi. Director and Huie-Rogers Chair Professor
School of Electrical Engineering and Computer Science
DATE: August 14, 2013
SUBJECT: Recommendation of Support – Smart Environments Research Center (SERC)
We are pleased to submit this joint letter of suppoti for the proposed WSU Smart Environments Research Center (SERC). Smart environments encompass the increasingly inter-connected and sensor-rich environments in which we live and work, and the need to improve health, safety and sustainability in such environments through the use of smati technologies. WSU is a recognized leader in this area, and the establishment of SERC will facilitate and promote multi-disciplinary research within WSU and in collaboration with other academic, industry and government institutions. SERC will serve as a focal point for the pursuit of large, multi-disciplinary and multi-institutional grants, recruitment of increasing numbers of STEM students and faculty, and transfer of technology to the commercial sector both to improve economic opportunities in the region and to positively impact society through the integration of SERC technologies into everyday life.
The College of Engineering and Architecture (CEA) and the School of Electrical Engineering and Computer Science (EECS) are committed to the success of the center. CEA and EECS have identified Smart Environments as an area of excellence in the college and a target for investment and growth. Along those lines, CEA has already committed two junior faculty positions and one senior faculty position in EECS to the Smart Environments area. One of the junior faculty positions was filled in January 2013, and the second was just filled with a start date of January 2014, both in Smart Environments. The search for the senior position is ongoing. Additional hires have been made in EECS to increase the teaching faculty to keep up with the increased enrollments and allow time for SERC faculty to aggressively pursue their research agenda. CEA and EECS project the ability to offer additional junior EECS faculty hires in the Smart Environments area in 2014.
The emphasis and success in the Smart Environments area at WSU has attracted external interest from industry and alumni. Industry suppoti is described in more detail in the proposal, but particular successes have involved Bosch and Cisco pat1nering with SERC faculty to collect and analyze data from their assisted-care facilities, Avista partnering with SERC faculty in collaboration with the WSU Energy Systems Innovation Center to analyze smart gird power data from smart meters in Pullman, and ongoing commercialization of Smart Environments technology to support ageing in place supported by the Washington State Life Sciences Discovery Fund. In addition, WSU alumni Doug and Loretta Allred have established a Distinguished Professorship offering $50K per year for 5 years to support the Professorship, and a Distinguished Lectureship Series on Artificial Intelligence with funding for speaker expenses, which was used to attract the first series speaker, Dr. Eric Horvitz, Co-Director of Microsoft Research , in Fall 2012. The second speaker in the series, Dr. Jaap Suermondt, Vice President and Director of the Analytics Lab at HP Labs, will be speaking in Fall 2013. Doug Allred is a WSU Computer Science graduate from 1973, and Senior Vice President of Cisco Systems. The establishment of SERC will help accelerate these investments and provide a center of excellence to attract additional investment.
The researchers , practitioners and policy makers affiliated with SERC, as detailed in the proposal , already represent a large multi-disciplinary group that have been successfully addressing SERC-related issues in terms of research and technolog y transfer. With a large portion of the affiliated faculty being in the WSU School of EECS, that school has seen significant increases in enrollments and research expenditures due in a large part the efforts of SERC faculty . With recent and forthcoming strategic faculty hires we project a continuing increase in enrollments and funding. Furthermore , the establishment of SERC will allow these efforts to be combined and focused on larger endeavors and grand challenges.
The development of smart technologies , especially for health and safety, is accelerating at a rapid pace , will drive research for years to come, and will have an enormous impact on society. We believe based on the demonstrated success, support, interest and commitment , that the Smart Environments Research Center will become an internationally -recognized center of excellence and establish WSU as a world leader in this area. Therefore, we enthusiastically support the establishment of SERC and strongly encourage the faculty senate to approve the center proposal.
Appendix B
Curricula vitae for the SERC center director and core faculty.
Lawrence Holder, Professor, School of EECS, SERC Director
Diane Cook, Professor, School of EECS, SERC Core Faculty
Maureen Schmitter-Edgecombe, Professor, Dept. of Psychology, SERC Core Faculty
Behrooz Shirazi, Professor and Director, School of EECS, SERC Core Faculty
CURRICULUM VITAE
Lawrence B. Holder, Ph.D.
Professor School of Electrical Engineering and Computer Science
Artificial Intelligence, Machine Learning, Data Mining, Graph Theory, Algorithms, Security and Bioinformatics.
Academic Degrees
Doctor of Philosophy (1991) in Computer Science with emphasis in Artificial Intelligence, University of Illinois at Urbana-Champaign. Thesis entitled “Maintaining the Utility of Learned Knowledge Using Model-Based Adaptive Control.” Thesis advisor: Larry Rendell.
Master of Science (1988) in Computer Science, University of Illinois at Urbana- Champaign. Thesis entitled “Discovering Substructure in Examples.” Thesis advisor: Robert E. Stepp.
Bachelor of Science with Honors (1986) in Computer Engineering, University of Illinois at Urbana-Champaign.
Professional Experience
September 2006 – present: Professor in the School of Electrical Engineering and Computer Science, Washington State University.
September 2004 – August 2006: Professor in the Department of Computer Science and Engineering, University of Texas at Arlington.
September 1997 – August 2004: Associate Professor in the Department of Computer Science and Engineering, University of Texas at Arlington.
September 1999 – December 2000: Associate Chair in the Department of Computer Science and Engineering, University of Texas at Arlington.
September 1991 – August 1997: Assistant Professor in the Department of Computer Science and Engineering, University of Texas at Arlington.
May 1989 – August 1991: Research Assistant on the Construction Management Team,
U.S. Army Construction Engineering Research Lab, Champaign, Illinois. Design and development of an intelligent natural language interface to an Army construction database.
August 1988 – May 1989: Teaching Assistant for Pattern Recognition and Machine Learning, Computer Inference and Knowledge Acquisition, and Introduction to Artificial Intelligence courses, Department of Computer Science, University of Illinois at Urbana– Champaign.
August 1986 – August 1988: Research Assistant for Dr. Robert E. Stepp in the area of artificial intelligence and machine learning, Department of Computer Science, University of Illinois at Urbana–Champaign.
August 1984 – August 1988: Programming Consultant for Computing Services Office, University of Illinois at Urbana–Champaign.
Teaching (Washington State University)
Artificial Intelligence
Machine Learning
Advanced Data Structures
Gerontechnology
Teaching (UT Arlington)
Intelligent Environments (designed course)
Computer System Design Project I and II
Machine Learning (designed course)
Artificial Intelligence I
Artificial Intelligence II
Algorithms and Data Structures
Design and Analysis of Algorithms
Short Course: Intermediate UNIX (designed course)
Professional Service
Conference Chairs/Co-Chairs:
Co-Chair, Florida Artificial Intelligence Research Society Conference, 2005.
Program Chairs/Co-Chairs:
Co-Chair with Xifeng Yan, IEEE International Conference on Data Mining, Workshop on Mining Graphs and Complex Structures, 2007.
Co-Chair with Mohan Kumar and Raffaele Bruno, Mobile Ad-hoc Sensors and Systems (MASS) Workshop on MASS for Global and Homeland Security, 2007.
Co-Chair with Zdravko Markov, Florida Artificial Intelligence Research Society Conference, Special Track on Machine Learning, 2004-2008.
Contest Chairs/Co-Chairs:
Co-Chair with Ashok Srivastava, IEEE International Conference on Data Mining Contest, 2011.
Journal Editorial Boards:
Intelligent Data Analysis, IOS Press, since 2005.
International Journal of Social Network Mining, InderScience Publishers, since 2010.
Computing, Springer, since 2013
Member:
American Association for Artificial Intelligence (AAAI)
Association for Computing Machinery (ACM), Professional Member since 2008
Institute of Electrical and Electronic Engineers (IEEE) Computer Society, Senior Member since 2009
Program committee member for numerous conferences; reviewer for numerous journals and funding agencies.
Research Excellence Award, Univ. of Texas at Arlington, 2005, 2006.
Outstanding Research Achievement, Univ. of Texas at Arlington, 2005.
Academy of Distinguished Teachers, Univ. of Texas at Arlington, 2002.
Algorithms and Data Structures course website, Lightspan’s StudyWeb One of the Best Educational Resources on the Web, 2001.
Chancellor’s Council Award for Excellence in Teaching, Univ. of Texas at Arlington, 2000.
Outstanding Young Faculty Award, Univ. of Texas at Arlington, College of Engineering, 2000.
Teaching Excellence Award, Univ. of Texas at Arlington, College of Engineering, 1999.
Publications (citation counts from Google Scholar on 1/2010 unless otherwise noted)
Books
D. Cook and L. Holder (Editors), Mining Graph Data, John Wiley & Sons, December 2006. Citations: 72.
S. Bandyopadhyay, U. Maulik, L. Holder and D. Cook (Editors), Advanced Methods for Knowledge Discovery from Complex Data, Springer, September 2005. Citations: 4.
Book Chapters
D. Cook and L. Holder, “Sensor Selection to Support Practical Use of Health-Monitoring Smart Environments,” In Ambient Intelligence and Smart Environments, IOS Press, 2012.
C. You, L. Holder and D. Cook, “Substructure Analysis of Metabolic Pathways by Graph-based Relational Learning,” In A. Sidhu and T. Dillon (Editors) Biomedical Data and Applications, Springer, September 2009.
W. Eberle, L. Holder and D. Cook, “Identifying Threats Using Graph-Based Anomaly Detection,” in J. Tsai and P. Yu (Editors), Machine Learning in Cyber Trust, Springer, May 2009.
L. Holder and D. Cook, “Graph-based Data Mining.” In J. Wang (ed.) Encyclopedia of Data Warehousing and Mining, Second Edition, Idea Group Publishing, 2009. Also appears in 2006 first edition.
J. Potts, D. Cook, and L. Holder, “Learning from Supervised Graphs,” Applied Graph Theory in Computer Vision and Pattern Recognition (M. Last, A. Kandel, and H. Bunke, editors), Wiley, 2007. Citations: 1.
D. Cook, L. Holder and N. Ketkar, “Unsupervised and Supervised Pattern Learning in Graph Data,” in D. Cook and L. Holder (Editors), Mining Graph Data, John Wiley & Sons, December 2006.
D. Cook, L. Holder, J. Coble and J. Potts, “Graph-based Mining of Complex Data,” in S. Bandyopadhyay, U. Maulik, L. Holder and D. Cook (Editors), Advanced Methods for Knowledge Discovery from Complex Data, Springer, September 2005.
L. Holder, D. Cook, J. Coble and M. Mukherjee, “Graph-based Relational Learning with Application to Security,” in T. Washio, L. De Raedt, and J. Kok (eds.) Advances in Mining Graphs, Trees and Sequences, IOS Press, 2005. Citations: 16.
L. Holder, D. Cook, J. Gonzalez and I. Jonyer, “Structural Pattern Recognition in Graphs.” In D. Chen and X. Cheng (eds.) Pattern Recognition and String Matching, Kluwer Academic Publishers, November 2003. Citations: 18.
D. J. Cook, G. Galal and L. B. Holder, “Discovering Concepts in Structural Data.” In J. T. L. Wang, B. A. Shapiro and D. Shasha (eds.) Pattern Discovery in Biomolecular Data: Tools, Techniques and Applications, Oxford University Press, 1999. Citations: 1.
D. J. Cook, P. Gmytrasiewicz and L. B. Holder, “Decision-Theoretic Multi-Agent Sensor Planning.” In O. Firschein and T. Strat (eds.) Reconnaissance, Surveillance, and Target Acquisition for the Unmanned Ground Vehicle, pages 413-428, 1997. Citations: 3
Journal Special Issue Editorships
L. Holder, M. Kumar and R. Bruno (Editors), Pervasive and Mobile Computing Journal, Special Issue on Homeland and Global Security, Elsevier Publishing, Volume 5, Number 2, April 2009.
Z. Markov, L. Holder, I. Jonyer and D. Bisant (Editors), International Journal on Artificial Intelligence Tools, Special Issue on Machine Learning, Data Mining and Neural Networks, World Scientific Publishing, Volume 17, Number 3, June 2008. Impact factor (2/08): 0.24 [citeseer].
I. Russell, Z. Markov and L. Holder (Editors), International Journal on Artificial Intelligence Tools, Special Issue on Knowledge Acquisition and Representation, World Scientific Publishing, Volume 15, Number 6, December 2006. Impact factor (2/08): 0.24 [citeseer].
I. Russell, Z. Markov, A. Pipe, B. Carse and L. Holder (Editors), International Journal on Pattern Recognition and Artificial Intelligence, Special Issue on Feature Selection and Extraction for Classification Problems, World Scientific Publishing, Volume 19, Number 2, March 2005. Impact factor (2/08): 0.508 [isi jcr].
Journal Articles
M. Haque, L. Holder, M. Skinner and D. Cook, “Generalized Query Based Active Learning to Identify Differentially Methylated Regions in DNA,” To appear in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013.
S. Long and L. Holder, “Graph-Based Shape Analysis for MRI Classification,” International Journal of Knowledge Discovery in Bioinformatics, 2(2):19-33, 2011.
D. Cook, M. Schmitter-Edgecombe and L. Holder, “Gerontechnology Education: Beyond the Barriers,” IEEE Pervasive Computing, 10(4):59-63, October-December 2011.
D. Cook and L. Holder, “Sensor Selection to Support Practical Use of Health-Monitoring Smart Environments,” Data Mining and Knowledge Discovery, Volume 1, Issue 4, July/August 2011.
P. Rashidi, D. Cook, L. Holder and M. Schmitter-Edgecombe, “Discovering Activities to Recognize and Track in a Smart Environment,” IEEE Transactions on Knowledge and Data Engineering, Volume 23, Issue 4, April 2011.
W. Eberle, L. Holder and J. Graves, “Insider Threat Detection Using a Graph-based Approach,” Journal of Applied Security Research, Volume 6, Issue 1, January 2011.
D. Cook, L. Holder, S. Thompson, P. Whitney and L. Chilton, “Graph-based Analysis of Nuclear Smuggling Data,” Journal of Applied Security Research, Volume 4, Issue 4, October 2009.
L. Holder, M. Kumar and R. Bruno, “Introduction to the special issue on homeland and global security,” Pervasive and Mobile Computing Journal, Special Issue on Homeland and Global Security, Elsevier Publishing, Volume 5, Number 2, April 2009.
J. Kukluk, L. Holder and D. Cook, “Inference of Edge Replacement Graph Grammars,” International Journal on Artificial Intelligence Tools, 17(3):539-554, June 2008. Impact factor (2/08): 0.24 [citeseer], Citations: 2.
J. Kukluk, L. Holder and D. Cook, “Inferring Graph Grammars by Detecting Overlap in Frequent Subgraphs,” International Journal of Applied Mathematics and Computer Science, Volume 18, Number 2, 2008.
L. Holder and X. Yan, “Report on the First International Workshop on Mining Graphs and Complex Structures (MGCS’07),” SIGMOD Record, Volume 37, Number 1, March 2008.
M. Hudelson, N. Ketkar, L. Holder, T. Carlson, C. Peng, B. Waldher, and J. Jones. High Confidence Predictions of Drug-Drug Interactions: Predicting Affinities for Cytochrome P450 2C9 with Multiple Computational Methods. Journal of Medicinal Chemistry, 51(3):648-654, January 2008. Impact factor (2/08): 5.115 [isi jcr], Citations: 5.
W. Eberle and L. Holder, “Anomaly Detection in Data Represented as Graphs,” Intelligent Data Analysis, 11(6):663-690, December 2007. Impact factor (2/08): 0.36 [citeseer], Citations: 5.
D. Cook, L. Holder and G. M. Youngblood, “Graph-based Analysis of Human Transfer Learning Using a Game Testbed,” IEEE Transactions on Knowledge and Data Engineering, 19(11):1465-1478, November 2007. Impact factor (2/08): 2.063 [isi jcr], Citations: 5.
J. Kukluk, L. Holder and D. Cook, “Inference of Node Replacement Graph Grammars,” Intelligent Data Analysis, 11(4):377-400, September 2007. Impact factor (2/08): 0.36 [citeseer], Citations: 1.
L. Holder, Z. Markov and I. Russell, “Advances in Knowledge Acquisition and Representation,” International Journal on Artificial Intelligence Tools, Special Issue on Knowledge Acquisition and Representation, 15(6):867-874, December 2006. Impact factor (2/08): 0.24 [citeseer], Citations: 2.
J. Coble, D. Cook and L. Holder, “Structure Discovery in Sequentially-Connected Data Streams,” International Journal on Artificial Intelligence Tools, 15(6):917-944, December 2006. Impact factor (2/08): 0.24 [citeseer], Citations: 5.
I. Russell, Z. Markov, L. Holder and D. Cook, “The 2005 International Florida Artificial Intelligence Research Society Conference (FLAIRS-05): A Report,” AI Magazine, Volume 27, Number 1, Spring 2006. Impact factor (2/08): 1.0 [isi jcr].
N. Ketkar, L. Holder and D. Cook, “Comparison of Graph-based and Logic-based MRDM,” ACM SIGKDD Explorations Special Issue on Link Mining, Volume 7, Issue 2, December 2005. Impact factor (2/08): 0.58 [citeseer], Citations: 10.
G. M. Youngblood, D. Cook and L. Holder, “Managing Adaptive Versatile Environments,” Journal of Pervasive and Mobile Computing, 1(4):373-403, December 2005. Citations: 47.
L. Holder, I. Russell, Z. Markov, A. Pipe and B. Carse, “Current and Future Trends in Feature Selection and Extraction for Classification Problems,” International Journal on Pattern Recognition and Artificial Intelligence, Special Issue on Feature Selection and Extraction for Classification Problems, 19(2):133-142, March 2005. Impact factor (2/08): 0.508 [isi jcr], Citations: 5.
L. Holder, D. Cook, J. Coble and M. Mukherjee, “Graph-based Relational Learning with Application to Security,” Fundamenta Informaticae Special Issue on Mining Graphs, Trees and Sequences, 66(1-2):83-101, March 2005. Impact factor (2/08): 0.586 [isi jcr], Citations: 16.
J. Coble, R. Rathi, D. Cook and L. Holder, “Iterative Structure Discovery in Graph-Based Data,” International Journal on Artificial Intelligence Tools, Volume 14, Number 1-2, February-March, 2005. Impact factor (2/08): 0.24 [citeseer], Citations: 13.
J. Kukluk, L. Holder and D. Cook, “Algorithm and Experiments in Testing Planar Graphs for Isomorphism,” Journal of Graph Algorithms and Applications, Volume 8, Number 3,
Citations: 5.
I. Jonyer, L. Holder and D. Cook, “MDL-Based Context-Free Graph Grammar Induction and Applications,” International Journal on Artificial Intelligence Tools, 13(1):65-79, March 2004. Impact factor (2/08): 0.24 [citeseer], Citations: 26.
A. Rakhshan, L. Holder and D. Cook, “Structural Web Search Engine,” International Journal on Artificial Intelligence Tools, 13(1):27-44, March 2004. Impact factor (2/08): 0.24 [citeseer], Citations: 10.
D. Cook, M. Huber, R. Yerraballi and L. Holder, “Enhancing Computer Science Education with a Wireless Intelligent Simulation Environment,” Journal of Computing in Higher Education, 16(1):106-127, Fall 2004. Citations: 4.
L. Holder and D. Cook, “Graph-Based Relational Learning: Current and Future Directions,” ACM SIGKDD Explorations, Volume 5, Issue 1, July 2003. Impact factor (2/08): 0.58 [citeseer], Citations: 26.
D. Cook, N. Manocha and L. Holder, “Using a Graph-Based Data Mining System to Perform Web Search,” International Journal of Pattern Recognition and Artificial Intelligence, Volume 17, Number 5, pages 705–720, July 2003. Impact factor (2/08): 0.508 [isi jcr], Citations: 13.
I. Jonyer, D. J. Cook and L. B. Holder, “Graph-Based Hierarchical Conceptual Clustering,” Journal of Machine Learning Research, Volume 2, pages 19–43, October 2001. Impact factor (2/08): 2.255 [isi jcr], Citations: 58.
D. J. Cook, L. B. Holder, S. Su, R. Maglothin and I. Jonyer, “Structural Mining of Molecular Biology Data,” IEEE Engineering in Medicine and Biology, Special Issue on Genomics and Bioinformatics, Volume 20, Number 4, pages 67–74, July/August 2001. Impact factor (2/08): 0.940 [isi jcr], Citations: 35.
D. J. Cook, L. B. Holder, G. Galal and R. K. Maglothin, “Approaches to Parallel Graph- Based Knowledge Discovery,” Journal of Parallel and Distributed Computing, Volume 61, Number 3, pages 427–446, March 2001. Impact factor (2/08): 0.430 [isi jcr], Citations: 28.
N. Manocha, D. J. Cook and L. B. Holder, “Structural Web Search Using a Graph-Based Discovery System,” ACM Intelligence Magazine, Volume 12, Number 1, pages 20–29, March 2001. Impact factor (2/08): 0.25 [citeseer], Citations: 14.
I. Jonyer, L. B. Holder, and D. J. Cook, “Graph-Based Hierarchical Conceptual Clustering,” International Journal on Artificial Intelligence Tools, Volume 10, Number 1-2, pages 107–135, March 2001. Impact factor (2/08): 0.24 [citeseer].
L. B. Holder and D. J. Cook, “A Client-Server Computational Tool for Integrated Artificial Intelligence Curriculum,” Journal of Computing in Higher Education, Volume 12, Number 2, March 2001. Citations: 1.
D. J. Cook and L. B. Holder, “Graph-Based Data Mining,” IEEE Intelligent Systems, Volume 15, Number 2, pages 32–41, March/April 2000. Impact factor (2/08): 2.413 [isi jcr], Citations: 254.
S. Su, D. J. Cook, and L. B. Holder, “Knowledge Discovery in Molecular Biology: Identifying Structural Regularities in Proteins,” Intelligent Data Analysis, Volume 3, pages 413–436, 1999. Impact factor (2/08): 0.36 [citeseer], Citations: 11.
K. S. Tae, D. J. Cook and L. B. Holder, “Experimentation-Driven Knowledge Acquisition for Planning,” Computational Intelligence, Volume 15, Number 3, pages 252–279, 1999. Impact factor (2/08): 1.415 [isi jcr], Citations: 3.
G. Galal, D. J. Cook and L. B. Holder, “Exploiting Parallelism in a Structural Scientific Discovery System to Improve Scalability,” Journal of the American Society for Information Science and Technology, Volume 50, Number 1, pages 65–73, 1999. Impact factor (2/08): 1.555 [isi jcr], Citations: 11.
S. Djoko, D. J. Cook, and L. B. Holder, “An Empirical Study of Domain Knowledge and Its Benefits to Substructure Discovery,” IEEE Transactions on Knowledge and Data Engineering, Volume 9, Number 4, pages 575–586, 1997. Impact factor (2/08): 2.063 [isi jcr], Citations: 23.
D. J. Cook, P. Gmytrasiewicz and L. B. Holder, “Decision-Theoretic Cooperative Sensor Planning,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 18, Number 10, pages 1013–1023, 1996. Impact factor (2/08): 4.306 [isi jcr], Citations: 58.
D. J. Cook, L. B. Holder, and S. Djoko, “Scalable Discovery of Informative Structural Concepts Using Domain Knowledge,” IEEE Expert, Volume 11, Number 5, pages 59–68, 1996. Impact factor (2/08): 0.64 [citeseer], Citations: 31.
D. J. Cook, L. B. Holder, and S. Djoko, “Knowledge Discovery from Structural Data,” Journal of Intelligent Information Systems, Volume 5, Number 3, pages 229–245, 1995. Impact factor (2/08): 0.750 [isi jcr], Citations: 21.
D. J. Cook and L. B. Holder, “Substructure Discovery Using Minimum Description Length and Background Knowledge,” Journal of Artificial Intelligence Research, Volume 1, pages 231–255, 1994. Impact factor (2/08): 1.795 [isi jcr], Citations: 286.
L. B. Holder and D. J. Cook, “Discovery of Inexact Concepts from Structural Data,” IEEE Transactions on Knowledge and Data Engineering, Volume 5, Number 6, pages 992–994, 1993. Impact factor (2/08): 2.063 [isi jcr], Citations: 18.
Journal Abstracts
M. Schmitter-Edgecombe, P. Rashidi, D. Cook and L. Holder (2010). Discovering and Tracking Activities of Daily Living Using Smart Environment Technologies (Abstract). American Journal of Geriatric Psychiatry.
Conference Papers
S. Long and L. Holder, “Discovery of Discriminating Neural Regions for MRI Classification,” Workshop on Expanding the Boundaries of Health Informatics Using AI (HIAI), Conference on Artificial Intelligence (AAAI), July 2013.
S. Choudhury, L. Holder, G. Chin and J. Feo, “Fast Search for Dynamic Multi-Relational Graphs,” SIGMOD Workshop on Dynamic Networks Management and Mining (DyNetMM), June 2013.
S. Choudhury, L. Holder, G. Chin, A. Ray, S. Beus and J. Feo, “StreamWorks – A System for Dynamic Graph Search,” ACM SIGMOD Conference Demo Track, June 2013.
S. Long and L. Holder, “Graph-Based MRI Brain Scan Classification and Correlation Discovery,” IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), May 2012.
W. Eberle, L. Holder and B. Massengill, “Graph-Based Anomaly Detection Applied to Homeland Security Cargo Screening,” International Conference of the Florida Artificial Intelligence Research Society (FLAIRS), May 2012.
A. Ray and L. Holder, “Efficiency Improvements for Parallel Subgraph Miners,” International Conference of the Florida Artificial Intelligence Research Society (FLAIRS), May 2012.
B. Das, A. Seelye, B. Thomas, D. Cook, L. Holder and M. Schmitter-Edgecombe, “Using Smart Phones for Context-Aware Prompting in Smart Environments,” Workshop on Consumer eHealth Platforms, Services and Applications (CeHPSA) at the Consumer Communications and Networking Conference (CCNC), January 2012.
S. Long and L. Holder, “Graph Based Classification of MRI Data Based on the Ventricular System,” Workshop on Biological Data Mining and its Applications in Healthcare (BioDM) at the IEEE International Conference on Data Mining (ICDM), December 2011.
S. Choudhury, L. Holder, G. Chin and J. Feo, “Large-Scale Continuous Subgraph Queries on Streams,” Workshop on High-Performance Computing meets Databases, Co- located with Supercomputing 2011, Seattle, WA, November 2011.
C. Josyln, S. al-Saffar, D. Haglin and L. Holder, “Combinatorial Information Theoretical Measurement of the Semantic Significance of Semantic Graph Motifs,” Conference on Knowledge Discovery and Data Mining (KDD) Workshop on Mining Data Semantics (MDS), August 2011.
W. Eberle and L. Holder, “Compression versus Frequency for Mining Patterns and Anomalies in Graphs,” Conference on Knowledge Discovery and Data Mining (KDD) Workshop on Mining and Learning with Graphs (MLG), August 2011.
O. Romero, J. Gonzalez and L. Holder, “Handling of Numeric Ranges for Graph-Based Knowledge Discovery,” International Conference on Data Mining (DMIN), July 2011.
S. Long and L. Holder, “Using Graphs to Improve Activity Prediction in Smart Environments based on Motion Sensor Data,” International Conference on Smart Homes and Health Telematics (ICOST), June 2011.
Z. Wemlinger and L. Holder, “The COSE Ontology: Bringing the Semantic Web to Smart Environments,” International Conference on Smart Homes and Health Telematics (ICOST), June 2011.
W. Eberle and L. Holder, “Graph-based Knowledge Discovery: Compression vs. Frequency,” International Conference of the Florida Artificial Intelligence Research Society (FLAIRS), May 2011.
O. Romero, J. Gonzalez and L. Holder, “Handling of Numeric Ranges with the SUBDUE System,” International Conference of the Florida Artificial Intelligence Research Society (FLAIRS), May 2011.
W. Eberle and L. Holder, “Detecting Insider Threats Using a Graph-based Approach,” Proceedings of the Center of Academic Excellence in Information Assurance Workshop on Insider Threat (CAEWIT) Workshop, November 2010.
E. Nazerfard, D. Cook and L. Holder, “Conditional Random Fields for Activity Recognition in Smart Environments,” ACM International Health Informatics Symposium, November 2010.
R. Zou and L. Holder, “Frequent subgraph mining on a single large graph using sampling techniques,” Proceedings of the Eighth Workshop on Mining and Learning with Graphs (MLG), pp. 171-178, July 2010.
W. Eberle, L. Holder and J. Graves, “Using a Graph-Based Approach for Discovering Cybercrime,” International Conference of the Florida Artificial Intelligence Research Society (FLAIRS), May 2010.
O. Romero, J. Gonzalez and L. Holder, “Handling of Numeric Ranges for Graph-Based Knowledge Discovery,” International Conference of the Florida Artificial Intelligence Research Society (FLAIRS), May 2010.
N. Ketkar, L. Holder and D. Cook, “gRegress: Extracting Features from Graph Transactions for Regression,” International Joint Conference on Artificial Intelligence (IJCAI), July 2009.
C. You, L. Holder and D. Cook, “Learning Patterns in the Dynamics of Biological Networks,” ACM SIGKDD Conference on Knowledge Discovery and Data Mining, June 2009.
W. Eberle and L. Holder, “Applying Graph-based Anomaly Detection Approaches to the Discovery of Insider Threats,” IEEE International Conference on Intelligence and Security Informatics (ISI), June 2009.
W. Eberle and L. Holder, “Discovering Anomalies to Multiple Normative Patterns in Structural and Numeric Data,” International Conference of the Florida Artificial Intelligence Research Society (FLAIRS), May 2009. Best Paper Award.
W. Eberle and L. Holder, “Graph-Based Approaches to Insider Threat Detection,” Extended Abstract, Cyber Security and Information Intelligence Research Workshop, April 2009.
N. Ketkar, L. Holder and D. Cook, “Faster Computation of the Direct Product Kernel for Graph Classification,” IEEE Workshop on Computational Intelligence and Data Mining, March 2009.
N. Ketkar, L. Holder and D. Cook, “Empirical Comparison of Graph Classification Algorithms,” IEEE Workshop on Computational Intelligence and Data Mining, March 2009.
W. Eberle and L. Holder, “Mining for Insider Threats in Business Transactions and Processes,” IEEE Workshop on Computational Intelligence and Data Mining, March 2009.
W. Eberle and L. Holder, “Insider Threat Detection Using Graph-Based Approaches,” Cybersecurity Applications and Technologies Conference for Homeland Security (CATCH), March 2009.
C. You, L. Holder and D. Cook, “Graph-based Data Mining in Dynamic Networks: Empirical Comparison of Compression-based and Frequency-based Subgraph Mining,” IEEE International Conference on Data Mining (ICDM) Workshop on Analysis of Dynamic Networks, December 2008. Citations: 4.
A. Singh and L. Holder, “Strategic Path Planning on the Basis of Risk vs. Time,” International Conference on Entertainment Computing, September 2008.
A. Christiansen, D. Johnson and L. Holder, “Game-based Simulation for the Evaluation of Threat Detection in a Seaport Environment,” International Conference on Entertainment Computing, September 2008.
C. You, L. Holder and D. Cook, “Graph-based Temporal Mining of Metabolic Pathways with Microarray Data,” ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD), August 2008.
C. You, L. Holder and D. Cook, “Temporal and Structural Analysis of Biological Networks in Combination with Microarray Data,” IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, September 2008.
C. You, L. Holder and D. Cook, “Dynamic Graph-based Relational Learning of Temporal Patterns in Biological Networks Changing over Time,” International Conference on Bioinformatics and Computational Biology (BIOCOMP), July 2008.
W. Eberle and L. Holder, “Discovering Structural Anomalies in Graph-based Data,” IEEE International Conference on Data Mining Workshop on Mining Graphs and Complex Structures, October 2007. Citations: 2.
J. Kukluk, L. Holder and D. Cook, “Inference of Node and Edge Replacement Graph Grammars,” International Conference on Machine Learning (ICML) Workshop on Challenges and Applications of Grammar Induction, June 2007.
W. Eberle and L. Holder, “Mining for Structural Anomalies in Graph-Based Data,” International Conference on Data Mining (DMIN-07), June 2007. Citations: 3.
J. Kukluk, C. You, L. Holder and D. Cook, “Learning Node Replacement Graph Grammars in Metabolic Pathways,” International Conference on Bioinformatics and Computational Biology (BIOCOMP-07), June 2007. Citations: 6.
J. Kukluk, L. Holder and D. Cook, “Inference of Edge Replacement Graph Grammars,” Proceedings of the Twentieth International Conference of the Florida AI Research Society (FLAIRS), May 2007.
C. You, L. Holder and D. Cook, “Application of Graph-based Data Mining to Metabolic Pathways,” Workshop on Data Mining in Bioinformatics, IEEE International Conference on Data Mining, December 2006. Citations: 7.
K. Ates, J. Kukluk, L. Holder, D. Cook and K. Zhang, “Graph Grammar Induction on Structural Data for Visual Programming,” Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence, November 2006. Citations: 7.
N. Ketkar, L. Holder and D. Cook, “Mining in the Proximity of Subgraphs,” Proceedings of the ACM KDD Workshop on Link Analysis, August 2006.
J. Kukluk, C. You, L. Holder and D. Cook, “Discovering Recursive Patterns in Biological Networks (Abstract),” Dallas Area Bioinformatics and Computational Biology Workshop, August 2006.
G. M. Youngblood, B. Nolen, M. Ross, and L. Holder, “Building Test Beds for AI with the Q3 Mod Base,” Proceedings of the Annual Artificial Intelligence for Interactive Digital Entertainment Conference, June 2006. Citations: 8.
A. Singh and L. Holder, “Classification of Threats via a Multi-sensor Security Portal,” Proceedings of the IEEE Intelligence and Security Informatics Conference, May 2006.
W. Eberle and L. Holder, “Detecting Anomalies in Cargo Shipments Using Graph Properties,” Proceedings of the IEEE Intelligence and Security Informatics Conference, May 2006. Citations: 3.
J. Kukluk, L. Holder and D. Cook, “Inference of Node Replacement Recursive Graph Grammars,” Proceedings of the SIAM Conference on Data Mining, April 2006. Citations: 13.
C. Corley, D. Cook, L. Holder, and K. Singh, “Graph-based Data Mining in Epidemia and Terrorism Data,” Proceedings of the Conference on Quantitative Methods and Statistical Applications in Defense and National Security, February 2006.
G. M. Youngblood, D. Cook and L. Holder, “Seamlessly Engineering a Smart Environment,” Proceedings of the International Conference on Systems, Man and Cybernetics, October 2005. Citations: 4.
N. Ketkar, L. Holder and D. Cook, “Qualitative Comparison of Graph-based and Logic- based Multi-Relational Data Mining: A Case Study,” Proceedings of the ACM KDD Workshop on Multi-Relational Data Mining, August 2005. Citations: 4.
N. Ketkar, L. Holder, D. Cook, R. Shah and J. Coble, “Subdue: Compression-based Frequent Pattern Discovery in Graph Data,” Proceedings of the ACM KDD Workshop on Open-Source Data Mining, August 2005. Citations: 17.
G. M. Youngblood, D. Cook, L. Holder and E. Heierman, “Automation Intelligence for the Smart Environment,” Proceedings of the International Joint Conference on Artificial Intelligence, August 2005. Citations: 7.
B. Kondeti, M. Nallacharu, G. M. Youngblood and L. Holder, “Interfacing the D’Artagnan Cognitive Architecture to the Urban Terror First-Person Shooter Game,” Proceedings of the International Joint Conference on Artificial Intelligence Workshop on Reasoning, Representation and Learning in Computer Games, August 2005. Citations: 3.
G. M. Youngblood, L. Holder and D. Cook, “A Learning Architecture for Automating the Intelligent Environment,” Proceedings of the Conference on Innovative Applications of Artificial Intelligence (IAAI), July 2005. Citations: 9.
J. Coble, D. Cook and L. Holder, “Structure Discovery in Sequentially Connected Data,” Proceedings of the Eighteenth International Conference of the Florida AI Research Society (FLAIRS), May 2005. Best Paper Award.
R. Rathi, D. Cook and L. Holder, “A Serial Partitioning Approach to Scaling Graph- Based Knowledge Discovery,” Proceedings of the Eighteenth International Conference of the Florida AI Research Society (FLAIRS), May 2005.
J. Potts, D. Cook and L. Holder, “Learning from Examples in a Single Graph,” Proceedings of the Eighteenth International Conference of the Florida AI Research Society (FLAIRS), May 2005. Citations: 1.
G. M. Youngblood, E. Heierman, L. Holder and D. Cook, “Automated HPOMDP Construction through Data-mining Techniques in the Intelligent Environment Domain,” Proceedings of the Eighteenth International Conference of the Florida AI Research Society (FLAIRS), May 2005. Citations: 1.
J. Potts, L. Holder, D. Cook and J. Coble, “Learning Concepts from Intelligence Data Embedded in a Supervised Graph,” Proceedings of the International Conference on Intelligence Analysis, May 2005.
G. M. Youngblood, L. Holder and D. Cook, “Managing Adaptive Versatile Environments,” Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications (PerCom), March 2005.
M. Mukherjee and L. Holder, “Graph-based Data Mining for Social Network Analysis,” Proceedings of the ACM KDD Workshop on Link Analysis and Group Detection, August 2004. Citations: 2.
I. Jonyer, L. Holder and D. Cook, “Attribute Value Selection Based on the Minimum Description Length,” Proceedings of the International Conference on Artificial Intelligence, June 2004.
J. Coble, D. Cook, L. Holder and R. Rathi, “Structure Discovery from Sequential Data,” Proceedings of the Seventeenth International Conference of the Florida AI Research Society (FLAIRS), May 2004. Citations: 2.
G. M. Youngblood and L. Holder, “Agent-Based Players for a First-Person Entertainment-Based Real-Time Artificial Environment,” Proceedings of the Seventeenth International Conference of the Florida AI Research Society (FLAIRS), May 2004. Citations: 5.
I. Jonyer, L. Holder and D. Cook, “MDL-Based Context-Free Graph Grammar Induction,” Proceedings of the Sixteenth International Conference of the Florida AI Research Society (FLAIRS), May 2003. Second Place, Best Paper Award Competition. Citations: 26.
A. Rakhshan, L. Holder and D. Cook, “Structural Web Search Engine,” Proceedings of the Sixteenth International Conference of the Florida AI Research Society (FLAIRS), May 2003. Citations: 10.
G. M. Youngblood and L. Holder, “Evaluating Human-Consistent Behavior in a Real- time First-person Entertainment-based Artificial Environment,” Proceedings of the Sixteenth International Conference of the Florida AI Research Society (FLAIRS), May 2003. Citations: 4.
R. Mehta, D. Cook and L. Holder, “Identifying Inhabitants of an Intelligent Environment Using a Graph-Based Data Mining System,” Proceedings of the Sixteenth International Conference of the Florida AI Research Society (FLAIRS), May 2003. Citations: 7.
I. Jonyer, L. Holder and D. Cook, “Concept Formation Using Graph Grammars,” Proceedings of the KDD Workshop on Multi-Relational Data Mining, July 2002. Citations: 18.
J. Gonzalez, L. Holder and D. Cook, “Graph-Based Relational Concept Learning,” Proceedings of the Nineteenth International Conference on Machine Learning, July 2002. Citations: 18.
J. Gonzalez, L. Holder and D. Cook, “Experimental Comparison of Graph-Based Relational Concept Learning with Inductive Logic Programming Systems,” Proceedings of the Twelfth International Conference on Inductive Logic Programming, July 2002. Citations: 7.
S. Bandyopadhyay, U. Maulik, D. J. Cook, L. B. Holder and Y. Ajmerwala, “Enhancing Structure Discovery for Data Mining in Graphical Databases Using Evolutionary Programming,” Proceedings of the Fifteenth International Conference of the Florida AI Research Society (FLAIRS), May 2002. Citations: 8.
J. Gonzalez, L. B. Holder and D. J. Cook, “Application of Graph-Based Concept Learning to the Predictive Toxicology Domain,” Proceedings of the Predictive Toxicology Workshop at the Fifth European Conference on Principles and Practice of Knowledge Discovery in Databases, September 2001. Citations: 36.
J. Gonzalez, L. B. Holder and D. J. Cook, “Graph-Based Concept Learning,” Proceedings of the Fourteenth International Florida AI Research Society Conference, pages 377-381, May 2001.
N. Manocha, D. J. Cook and L. B. Holder, “Structural Web Search Using a Graph-Based Discovery System,” Proceedings of the Fourteenth International Florida AI Research Society Conference, pages 133-137, May 2001.
D. J. Cook and L. B. Holder, “A Client-Server Interactive Tool for Integrated Artificial Intelligence Curriculum,” Proceedings of the Fourteenth International Florida AI Research Society Conference, pages 206-210, May 2001. Citations: 2.
J. Gonzalez, L. B. Holder, and D. J. Cook, “Graph-Based Concept Learning,” Proceedings of the National Conference on Artificial Intelligence, page 1072, July 2000. Citations: 23.
I. Jonyer, L. B. Holder, and D. J. Cook, “Graph-Based Hierarchical Conceptual Clustering in Structural Data,” Proceedings of the National Conference on Artificial Intelligence, page 1073, July 2000.
J. Gonzalez, I. Jonyer, L. B. Holder and D. J. Cook, “Efficient Mining of Graph-Based Data,” AAAI Workshop on Learning Statistical Models from Relational Data, pages 21– 28, July 2000. Citations: 7.
G. M. Youngblood, L. B. Holder, and D. J. Cook, “A Framework for Autonomous Mobile Robot Exploration and Mapping Through the Use of Place-Centric Occupany Grids,” Proceedings of the Machine Learning Workshop on Learning from Spatial Information, June 2000. Citations: 15.
I. Jonyer, L. B. Holder and D. J. Cook. “Graph-Based Hierarchical Conceptual Clustering,” Proceedings of the Thirteenth International Florida AI Research Society Conference, pages 91–95, May 2000.
J. Gonzalez, L. B. Holder and D. J. Cook, “Structural Knowledge Discovery Used to Analyze Earthquake Activity,” Proceedings of the Thirteenth International Florida AI Research Society Conference, pages 86–90, May 2000. Citations: 5.
R. Chittimoori, L. B. Holder and D. J. Cook, “Applying the Subdue Discovery System to the Chemical Toxicity Domain,” Proceedings of the Twelfth International Florida AI Research Society Conference, pages 90–94, 1999. Citations: 29.
R. Chittimoori, L. B. Holder and D. J. Cook, “Applying Subdue to Chemical Toxicity Data,” AAAI Spring Symposium on Predictive Toxicology, 1999.
R. Chittimoori, J. Gonzalez and L. B. Holder, “Structural Knowledge Discovery in Chemical and Spatio-Temporal Domains,” Proceedings of the Sixteenth National Conference on Artificial Intelligence, 1999. Citations: 2.
S. Su, D. J. Cook and L. B. Holder, “Applications of Knowledge Discovery to Molecular Biology: Identifying Structural Regularities in Proteins,” Proceedings of the Pacific Symposium on Biocomputing, pages 190–201, 1999. Citations: 17.
L. B. Holder and D. J. Cook, “Coupling Two Complimentary Knowledge Discovery Systems,” Proceedings of the Eleventh International Florida Artificial Intelligence Research Society Conference, pages 183–187, 1998.
D. J. Cook, G. Galal and L. B. Holder, “Exploiting Parallelism in Knowledge Discovery Systems to Improve Scalability,” Proceedings of the Thirty-First Hawaii International Conference on System Sciences, 1998. Citations: 3.
G. Galal, D. J. Cook and L. B. Holder, “Improving Scalability in a Knowledge Discovery System by Exploiting Parallelism,” Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, pages 171–174, 1997. Citations: 6.
T. Duell and L. B. Holder, “A Study of Overfit in Decision-Tree Induction,” Proceedings of the Tenth International Florida Artificial Intelligence Research Society Conference, pages 342–346, 1997.
D. J. Cook, P. Gmytrasiewicz and L. B. Holder, “Multi-Agent Cooperative Sensor Planning,” Proceedings of the Image Understanding Workshop, pages 1321–1332, 1996.
P. Hsia, C. T. Hsu, D. C. Kung and L. B. Holder, “User-Centered System Decomposition: Z-Based Requirements Clustering,” Proceedings of the Second International Conference on Requirements Engineering, pages 126–135, 1996. Citations: 3.
L. B. Holder, “Intermediate Decision Trees,” Proceedings of the 14th International Joint Conference on Artificial Intelligence, pages 1056–1062, 1995. Citations: 13.
S. Djoko, D. J. Cook and L. B. Holder, “Analyzing the Benefits of Domain Knowledge in Substructure Discovery,” Proceedings of the First International Conference on Knowledge Discovery and Data Mining, pages 75–80, 1995. Citations: 34.
L. B. Holder, D. J. Cook and S. Djoko, “Substructure Discovery in the SUBDUE System,” Proceedings of the AAAI Workshop on Knowledge Discovery in Databases, pages 169–180, 1994. Citations: 131.
D. J. Cook and L. B. Holder, “Sensor Planning and Coordination in Multi-Agent Systems,” Proceedings of the Image Understanding Workshop, 1994.
A. Chaudhry and L. B. Holder, “An Empirical Approach to Solving the General Utility Problem in Speedup Learning,” Seventh International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, pages 149–158, 1994.
L. B. Holder and A. Chaudhry, “Simple Selection of Utile Control Rules in Speedup Learning,” Proceedings of the Third International Workshop on Knowledge Compilation and Speedup Learning, pages 77–82, 1993. Citations: 3.
L. B. Holder, “Empirical Analysis of the General Utility Problem in Machine Learning,” Proceedings of the Tenth National Conference on Artificial Intelligence, pages 249–254, 1992. Citations: 14.
L. B. Holder, D. J. Cook and H. Bunke, “Fuzzy Substructure Discovery,” Proceedings of the Ninth International Conference on Machine Learning, pages 218– 223, 1992. Citations: 19.
L. B. Holder, “Unifying Empirical and Explanation-Based Learning by Modeling the Utility of Learned Knowledge,” Proceedings of the ML92 Workshop on Knowledge Compilation and Speedup Learning, 1992. Citations: 4.
L. B. Holder, “Selection of Learning Methods Using an Adaptive Model of Knowledge Utility,” Proceedings of the International Workshop on Multistrategy Learning, pages 247–254, 1991. Citations: 7.
L. B. Holder, “The General Utility Problem in Machine Learning,” Proceedings of the Seventh International Conference on Machine Learning, pages 402–410, 1990. Citations: 24.
L. B. Holder, “Application of Machine Learning to the Maintenance of Knowledge Base Performance,” Proceedings of the 3rd International Conference on Industrial & Engineering Applications of AI & Expert Systems, pages 1005–1012, 1990.
L. B. Holder, “Performance–Driven Knowledge Transformation,” Proceedings of the Third Florida Artificial Intelligence Research Symposium, pages 149–153, 1990.
D. J. Cook and L. B. Holder, “Accelerated Learning on the Connection Machine,” Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing, pages 448–454, 1990. Citations: 20.
L. B. Holder, “Empirical Substructure Discovery,” Proceedings of the Sixth International Workshop on Machine Learning, pages 133–136, 1989. Citations: 9.
R. E. Stepp, B. L. Whitehall and L. B. Holder, “Towards Intelligent Machine Learning Algorithms,” Proceedings of the Eighth European Conference on Artificial Intelligence, pages 333–338, 1988.
Conference Posters/Abstracts
L. P. Behmer, J. Fairey, S. Gonzales, K. Albright, L. R. Fournier and L. B. Holder (2013). Using EEG and Machine Learning to Predict Action Goals from Data in the Human Mirror System. Poster and abstract. 20th Annual Meeting of the Cognitive Neuroscience Society.
Technical Reports
R. Shah and L. B. Holder, “Subdue Web Interface and GUI,” Technical Report CSE- 2004-9, Department of Computer Science and Engineering, University of Texas at Arlington, November 2004.
D. J. Cook, L. B. Holder and S. Djoko, “Knowledge Discovery from Structural Data,” Technical Report TR-95-149, NASA Center of Excellence in Space Data and Information Sciences, 1995.
L. B. Holder, “Maintaining the Utility of Learned Knowledge Using Model-Based Adaptive Control,” Ph.D. Thesis, Department of Computer Science, University of Illinois, Urbana, IL, October 1991. Citations: 9.
S. F. Kappes, A. B. Baskin, R. E. Reinke and L. B. Holder, “A Knowledge-Based Natural Language Database Interface,” Technical Report P-91/15, U.S. Army Corps of Engineers Construction Engineering Research Laboratory, Champaign, IL, May 1991.
L. B. Holder, “Substructure Discovery in Subdue,” Technical Report UILU-ENG-88- 2220, Department of Computer Science, University of Illinois, Urbana, IL, May 1988. Citations: 1.
L. B. Holder, “Discovering Substructure in Examples,” Masters Thesis, Department of Computer Science, University of Illinois, Urbana, IL, May 1988. (Available as Technical Report UILU-ENG-88-2223). Citations: 10.
R. E. Stepp, B. L. Whitehall and L. B. Holder, “Toward Intelligent Machine Learning Algorithms,” Technical Report UILU-ENG-88-2221, Department of Computer Science, University of Illinois, Urbana, IL, May 1988. Citations: 4.
Invited Talks
“Mining Dynamic Graphs,” Pacific Northwest National Laboratory, March 2013.
“Graph-based Pattern Learning,” DOE Summer School on Multiscale Mathematics and High Performance Computing, WSU Tri-Cities Campus, August 2008.
“Center for Research in CyberIntelligence,” Pacific Northwest National Laboratory, January 2007.
“Graph-based Relational Learning,” Washington State University, February 2006.
“Graph-based Relational Learning,” Colloquia of the Computer Science and Engineering Department, University of Notre Dame, November 2005.
“Graph-based Data Mining in Biological Databases,” Guest Lecturer, Bioinformatics Course, University of Notre Dame, November 2005.
“Connecting the Dots: Graph-based Discovery Informatics for Learning Patterns of Asymmetric Threats,” Visionary Lecture Series in Discovery Informatics, Johns Hopkins University School of Professional Studies in Business and Education, March 2004.
“Extracting Knowledge from Structural Data Using Substructure Discovery,” invited talk to the NASA Goddard Space Flight Center CESDIS Group, 1994.
“North Texas Association for Artificial Intelligence (NTAAI) Panel on Data Mining,” panelist, 1994.
“Empirical Analysis of the General Utility Problem in Machine Learning,” invited talk to the Computer Science Department at the University of Texas at Austin, 1992.
“Common Trends in the Performance of Symbolic and Connectionist Learning Methods,” invited talk to the UTA MIND group, 1992.
“The Utility of Machine Learning,” invited talk to the North Texas Association for Artificial Intelligence (NTAAI), 1992.
“Maintaining the Utility of Learned Knowledge Using Model-Based Adaptive Control,” invited talk to the NASA Ames Research Center Intelligent Systems Group, 1991.
“Controlling the Application of Learning Methods for the Improvement and Maintenance of Knowledge Base Performance,” invited talk to the Jet Propulsion Laboratory (JPL) Intelligent Systems Group, 1990.
Support
L. Holder, “Pattern Learning in Large, Heterogeneous, Attributed Graphs,” Pacific Northwest National Laboratory, 10/1/2010–9/30/2012, $120,000.
L. Holder, “HUNTER: HUMINT Use of Networks for Tactical Exploitation and Reasoning,” DARPA GUARD-DOG Program, Subcontract to BAE Systems, 10/1/2010- 10/31/2011, $90,000.
W. Eberle and L. Holder, “Detecting Anomalies in Shipping Data Using a Graph-based Approach,” Department of Homeland Security (DHS), 9/21/2010-12/31/2011, $300,000.
D. Cook, M. Schmitter-Edgecombe, L. Holder, B. Shirazi, and S. Jayaram, “IGERT: Integrative Training in Health-Assistive Smart Environments,” NSF Integrative Graduate Education and Research Traineeship Program (IGERT), 7/1/2009–6/30/2014, $2,823,126.
L. Holder, “Scaling Graph-based Pattern Learning for Large Graphs,” Pacific Northwest National Laboratory, 7/14/2009–6/30/2010, $39,392.
D. Cook and L. Holder, “Advanced Analysis for Proliferation Control,” Pacific Northwest National Laboratory, 7/1/2008–12/31/2008, $40,000.
L. Holder and W. Eberle, “Insider Threat Detection Using a Graph-based Approach,” DHS Cyber-Security Research and Development Program, 3/1/2008–9/20/2010, $327,667.
L. Holder, T. Pratt, D. Hindman and K. Marett, “Cybercriminology and Digital Forensics,” WSU Initiation of Collaboration, 7/1/07-6/30/08, $5,000.
L. Holder and D. Cook, “Integration of a MOUT Simulator into the General Game Playing (GGP) System for the Evaluation of Transfer Learning,” Naval Research Laboratory, 10/01/07–9/30/08, $137,450.
L. Holder, G. M. Youngblood, D. Cook and M. Huber, “Transfer Learning in Integrated Cognitive Systems,” subcontract with the Institute for the Study of Learning and Expertise (ISLE), DARPA Transfer Learning Program (BAA05-29), 10/1/05–9/30/07, $600,000.
D. Cook and L. Holder, “Graph-based Mining of Public Health Data,” NSF Science and Engineering Informatics (SEI) Program, 9/1/05–8/31/08, $352,327. In collaboration with K. Singh at University of North Texas.
L. Holder and D. Cook, “Graph-Based Structural Pattern Learning,” NRL BAA 55-03-05r, 4/1/05–3/31/06, $118,622.
L. Holder and D. Cook, “Application of Graph-based Pattern Learning to Financial Transaction Data,” Booz-Allen-Hamilton, 9/1/04–8/31/05, $30,000.
L. Holder and G. M. Youngblood, “Integration of a Cognitive Architecture and an Urban Warfare Simulator for the Evaluation of AI Methods,” NRL BAA 55-03-02, 9/1/04– 8/31/05, $75,500.
L. Holder, I. Ahmad, S. K. Das, F. Lewis and F. Lu, “Acquisition of Instrumentation for Engineering Research in Advanced Security Detection Systems,” NSF Major Research Instrumentation (MRI) Program, 9/1/04–8/31/07, $357,143.
L. Holder and D. Cook, “Graph-Based Structural Pattern Learning,” U.S. Air Force Evidence Assessment, Grouping, Linking and Evaluation (EAGLE) Program, 1/1/04– 3/15/06, $377,516.
S. Das, I. Ahmad, D. Cook, L. Holder, and M. Kumar, “ITR Collaborative Research: Pervasively Secure Infrastructures (PSI): Integrating Smart Sensing, Data Mining, Pervasive Networking, and Community Computing,” NSF Information Technology Research (ITR) Program, 9/1/03–8/31/08, $1,600,000.
S. Chakravarthy, J. Yu, L. Holder, S. Das and Y. Aslandogan, “Acquisition of High- Performance Distributed Computing and Storage Infrastructure at UTA,” NSF Major Research Instrumentation (MRI) Program, 9/1/02–8/31/05, $950,000.
L. Holder and D. Cook, “Graph-Based Structural Pattern Learning,” DARPA Evidence Extraction and Link Discovery (EELD) Program, 9/6/01–12/5/03, $375,000.
D. Cook, L. Holder and S. Chakravarthy, “Graph-Based Data Mining,” NSF, 9/1/01– 8/31/04, $442,487.
D. Cook, S. Chakravarthy, S. Das, M. Huber, L. Holder, F. Kamangar and R. Yerraballi, “MavHome: An Intelligent Home Environment,” NSF Information Technology Research (ITR) Program, 9/1/01–8/31/06, $1,159,959.
D. Cook, L. Holder, S. Das, M. Huber and R. Yerraballi, “Instrumentation for Intelligent Agent Wireless Computing Research,” NSF Major Research Instrumentation (MRI) Program, 9/1/01–8/31/04, $426,284.
D. Cook, L. Holder, S. Das, F. Kamangar and R. Yerraballi, “Integrating Intelligent Agent and Wireless Computing Research into the Undergraduate Curriculum,” NSF Educational Innovation Grant, 1/1/01–12/31/03, $329,915.
D. Cook, L. Holder, S. Das, F. Kamangar and R. Yerraballi, “Remote Site Monitoring, Measurement, and Control,” Automation and Robotics Research Institute, 5/1/00– 8/15/00, $20,000.
D. J. Cook and L. B. Holder, “Scalable Knowledge Discovery,” Texas Higher Education Coordinating Board Advanced Technology Program, 1/1/98–8/31/00, $108,346.
L. B. Holder and D. J. Cook, “Scalable Knowledge Discovery from Large Structural Databases,” NSF, 2/15/97–8/31/00, $304,323.
L. B. Holder and D. J. Cook, “Problem-Solving Strategies for Knowledge-Based Engineering Applied to Generative N/C Programming,” Texas Instruments, Dallas, TX, 8/16/94–1/15/95, $13,250.
D. J. Cook and L. B. Holder, “Parallel Knowledge Discovery from Large Complex Databases,” NASA CESDIS HPCC Program, 7/1/93–9/30/96, $147,000.
L. B. Holder, “Control of Machine Learning Methods,” University of Texas at Arlington
Advising
Doctoral
Syeda Akter, “Graph Mining Sensor Network Data,” May 2015 (expected).
Jason Fairey, “Decision-Making Based on a Reduction of Sensory Entropy,” May 2015 (expected).
Yibo Yao, “Supervised Learning in Dynamic Graphs,” May 2014 (expected).
Sutanay Choudhury, “Subgraph Isomorphism for Dynamic Graphs,” May 2014 (expected).
Abhik Ray, “Frequent Subgraph Mining in Dynamic Graphs,” May 2014 (expected).
Jeyanthi Narasimhan, “Link Mining in Dynamic Graphs,” May 2014 (expected).
Joel Helkey, “Sensor Network Optimization Based on Target Application,” May 2014 (expected).
Zachary Wemlinger, “Mining the Semantic Web Graph,” May 2014 (expected).
Muksitul Haque, “Graph Mining in the Genome,” December 2013 (expected).
Samuel Seth Long, “Graph Mining in Brain Imagery,” December 2013 (expected).
Chang hun You, “Learning Patterns in Dynamic Graphs with Application to Biological Networks,” August 2009. Currently a senior scientist at NetSeer, Inc.
Nikhil Ketkar, “Empirical Comparison of Graph Classification and Regression Algorithms,” May 2009. Currently a software developer in the at TransMarket Group.
William Eberle, “Information Theoretic, Probabilistic and Maximum Partial Substructure Algorithms for Discovering Graph-Based Anomalies,” May 2007. Currently an Assistant Professor in the Department of Computer Science at Tennessee Technological University.
Jacek Kukluk, “Inference of Node and Edge Replacement Graph Grammars,” May 2007. Currently a Research Associate at the Dana-Farber/Harvard Cancer Center.
G. Michael Youngblood, “Automating Inhabitant Interactions in Home and Workplace Environments Through Data-Driven Generation of Hierarchical Partially-Observable Markov Decision Processes,” co-advised with Dr. Diane Cook, August 2005. Currently an Assistant Professor in the Department of Computer Science at the University of North Carolina at Charlotte.
Istvan Jonyer, “Learning Context-Free Graph Grammars Using the Minimum Description Length Principle,” August 2003. Currently in Partner Solutions at Google.
Jesus Gonzalez, “Empirical and Theoretical Analysis of Structural Concept Learning,” August 2001. Currently an Investigator in the Department of Computer Science at the National Institute of Astrophysics, Optics and Electronics in Puebla, Mexico.
Masters
Ngan Dong, “Natural Language Generation from Graphs,” May 2013.
Ruoyu Zou, “Frequent Subgraph Mining on a Single Large Graph Using Sampling Techniques,” December 2010.
Damian Johnson, “Port Locale Modeling and Scenario Evaluation in 3D Virtual Environments,” May 2009.
Allen Christiansen, “Modeling Sensors and Threats in a Three-Dimensional Real-Time Simulation of a Seaport Environment,” May 2009.
Yan Zhang, “Improving the Efficiency of Graph-based Data Mining with Application to Public Health Data,” December 2007.
Ashish Singh, “Improving the Survivability of Agents in a First-Person Shooter Urban Combat Simulation by Incorporating Military Skills,” December 2007.
Janakiram Natarajan, “Simulation of Sensor Responses of Advanced Security Systems,” August 2006.
Amar Singh, “Improving Security Detection Using Multiple Sensor Data,” May 2006.
ChungHun You, “Application of Graph-based Data Mining to Biological Networks,” December 2005.
Chris Gonsalves, “Comparison of Search-based and Kernel-based Methods for Graph- based Relational Learning,” August 2005.
Bharat Kondeti, “Integration of the D’Artagnan Cognitive Architecture with Real-Time Simulated Environments,” May 2005.
Maheshwar Nallachura, “Spatial Reasoning for Real-Time Simulated Environments,” May 2005.
Nikhil Ketkar, “Comparison of Graph-based and Logic-based Relational Learning,” December 2004.
Rohan Shah, “Empirical Comparison of Graph-Based Data Mining Systems Based on Minimum Description Length,” December 2004.
Maitrayee Mukherjee, “Graph-Based Data Mining on Social Networks,” August 2004.
Abhilash Maniam, “Graph-Based Click-Stream Mining for Categorizing Browsing Activity in the World Wide Web,” August 2004.
Swapnil Palod, “Transformation of Relational Databases to Graphs for Data Mining,” May 2004.
Amit Pant, “Improved Data Partitioning for Distributed Graph-Based Data Mining,” December 2003.
Jacek Kukluk, “Algorithm and Experiments for Testing Planar Graphs for Isomorphism,” December 2003.
Arash Rakhshan, “Structural Web Search Engine,” August 2003.
Parag Mhashilkar, “Networking for the AMEBA Cognitive Architecture,” August 2003.
G. Michael Youngblood, “Agent-Based Simulated Cognitive Intelligence in a Real-Time First-Person Entertainment-Based Artificial Environments,” August 2002.
Ali Chousein, “Using Bayesian Model Averaging in Modeling Other Agents and Learning the Beliefs of Other Agents in Multi-Agent Environments,” December 2001.
Gayathri Sampath, “Subdue Graph Visualizer,” May 2001.
Bharath Peramur, “Development of Intelligent Process Agents for the Agent Based Manufacturing Operating System,” August 2000.
Istvan Jonyer, “Hierarchical Conceptual Clustering Using a Graph-Based Knowledge Discovery System,” May 2000.
Ravindra Chittimoori, “Discovering Substructures in Chemical Toxicity Domain,” December 1999.
Kruti Mehta, “A Java-Based Client-Server Simulator for Intelligent Agent Design,” December 1999.
Jesus Gonzalez, “Application of Structural Discovery to Real-World Datasets,” May 1999.
Ron Maglothin, “Data Mining in DNA: Using the Subdue Knowledge Discovery System to Find Potential Gene Regulatory Sequences,” May 1999.
Karthik Amirtharajan, “Agent-Based Manufacturing Operating System Architecture: Design and Implementation of a Generic Device Control Agent Language for Reconfigurable Automation,” May 1999.
Thomas Duell, “A Study of Overfit in Inductive Learning,” August 1998.
Shaobing Su, “Applications of Knowledge Discovery to Molecular Biology: Identifying Structural Regularities in Proteins,” August 1998.
Sharon Barber, “Model-Based Object Recognition Using Invariants,” May 1998.
Robert Duff, “EGOS: An Environment for Generalized Object-Oriented Simulation,” May 1998.
Ramakrishna Kintada, “Detection of Closed Shapes in Images,” May 1997.
Prasad Parthasarthy, “Subdue GUI: Interface of Graph-Based Discovery System with a Graph Visualization Tool,” May 1997.
Stephen Poe, “Substructure Discovery in Image Data Using Subdue,” August 1995.
Vikram Dintyala, “Object-Oriented Analysis and Graphical User Interface for the RSTA Subsystem of the Unmanned Ground Vehicle Project,” May 1995.
Anurag Chaudhry, “Empirical Analysis of the General Utility Problem in Speedup Learning,” August 1993.
Undergraduate Honors Theses
Heather Chan, “Real-Time Visualization of Graph-Based Data Mining,” May 2004.
Pravin Muthukumar, “WISE: Wireless Intelligent Simulation Environment,” Aug. 2001.
Istvan Jonyer, “Design, Implementation and Evaluation of a Dialog-based Interactive System,” May 1999.
G. Michael Youngblood, “Autonomous Mobile Robot Exploration and Mapping of Place-Centric Occupancy Grids,” May 1999.
CURRICULUMVITAE
Diane J. Cook
Huie-Rogers Chair Professor School of Electrical Engineering and Computer Science Washington State University
(509) 335-4985
cook@eecs.wsu.e du URL: http://www.eecs.wsu.edu/∼cook/
AcademicDegrees
Doctor of Philosophy, October 1990, emphasis in Artificial Intelligence, University of Illinois, Urbana, IL.
Topic: Base selection in analogical planning
Master of Science, May 1987, major in Computer Science, University of Illinois, Urbana, IL.
Topic: Automated modern music notation
Bachelor of Science, May 1985, major in Math/Computer Science, minor in Music, Wheaton College, Wheaton, IL.
Research Interests
Artificial Intelligence, Machine Learning, Data Mining, Robotics, Parallel AI Algorithms, Smart Environments
Courses Taught
Introduction to Automata Theory (undergraduate)
Data Structures (undergraduate)
Theoretical Computer Science (graduate)
Design and Analysis of Algorithms (graduate)
Introduction to Artificial Intelligence (undergraduate and graduate)
Genetic Algorithms and Neural Networks (undergraduate and graduate, designed course)
Parallel Algorithms for Artificial Intelligence (graduate, designed course)
Planning and Robotics (graduate, designed course)
Planning and Decision Theory (graduate, designed course with P. Gmytrasiewicz)
Data Mining (graduate, designed course) Gerontechnology I and II (graduate, multidisciplinary,esigned course with M. Schmitter- Edgecombe)
Advanced Topics in Machine Learning (graduate, designed course)
Honors and Awards
Anjan Bose Outstanding Researcher of the Year Award, 2010
WSU/EECS Excellence in Research Award, 2009, 2010
FTRA Fellow, 2010 – present
IEEE Fellow, 2007 – present
IEEE Systems, Man, and Cybernetics Society, Outstanding Contribution Award, 2007
Best paper award, Florida Artificial Intelligence Research Symposium, 2005
Charter Member, Academy of Distinguished Scholars, University of Texas at Arlington, 2004
UTA College of Engineering Research Excellence Award, 2004
UTA Outstanding Research Achievement Award, 2002
UTA Keeper of the Vision Award, 2002
CSE Outstanding Teacher Award, 2001
Lockheed Martin Award for Excellence in Teaching, 2000
Sponsored student team with winning entry at AAAI Life On Mars robot competition, 1998
NSF Career Development Award, 1995
Halliburton Outstanding Young Faculty Award, 1995
NSF Research Initiation Award, 1993
Professional Experience
August 2006 – Present
Huie-Rogers Chair Professor, School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA.
May 2007 – Present
Data Mining Consultant for Organizations including US Environmental Protection Agency, C. Grant and Company, Bosch
August 1992 – 2006
University Distinguished Scholar Professor (2004 – 2006), Professor (2001 – 2004), Associate Professor (1996 – 2001), Assistant Professor (1992 – 1996), Department of Computer Science and Engineering, University of Texas at Arlington, Arling- ton, TX.
August 1999 – May 2001
Senior Data Mining Consultant, International Business Machines, Dallas, TX.
August 1992 – 2006
Faculty Associate, Automation and Robotics Research Institute, Fort Worth, TX.
June 1991 – August 1991; June 1992 – August 1992
Research Faculty Fellow, NASA Ames Research Center, Moffett Field, CA.
January 1991 – May 1992
Assistant Professor, Department of Computer Science and Engineering, University of South Florida, Tampa, FL.
August 1989 – December 1991
Consultant for the National Center for Supercomputing Applications, Urbana, IL.
January 1990 – May 1990
Assistant for designing and teaching Scientific Visualization course in connection with Na- tional Center for Supercomputing Applications, Urbana, IL.
October 1990
Instructor for Connection Machine Graphics workshop, Urbana, IL.
January 1988 – December 1989
Teaching Assistant, University of Illinois, Urbana, IL.
June 1988 – August 1988 and January, 1989
Research Associate in Computer Science, International Business Machines, Almaden Research Center, San Jose, CA.
January 1986 – December 1987
Research Assistant for the Computer Music Project, University of Illinois, Urbana, IL.
June 1984 – August 1985
Software Consultant for Dr. William F. Nowlin, Merrillville, IN.
July 1985 – August 1985
Software Consultant for Gary Methodist Hospital, Gary, IN.
June 1985 – July 1985
Software Consultant for William James and Assoc., Wheaton, IL.
January 1984 – May 1985
Teaching Assistant, Wheaton College, Wheaton, IL.
Publications
Journal Articles
P. Dawadi, D. Cook, M. Schmitter-Edgecombe, and C. Parsey. Automated assessment of cognitive health using smart home technologies. Technology and Health Care, to appear.
N. Krishnan and D. Cook. Activity recognition on streaming sensor data. Pervasive and Mobile Computing, to appear.
P. Dawadi, D. Cook, and M. Schmitter-Edgecombe. Automated cognitive health assessment using smart home monitoring of complex tasks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, to appear.
D. Cook, A. Crandall, B. Thomas, and N. Krishnan. CASAS: A smart home in a box. IEEE Computer, to appear.
A. Seelye, M. Schmitter-Edgecombe, D. Cook, and A. Crandall. Smart environment prompt- ing technologies for everyday activities in mild cognitive impairment. Journal of the Interna- tional Neuropsychological Society, to appear.
D. Cook, N. Krishnan and Z. Wemlinger. Learning a taxonomy of predefined and discovered activity patterns. Journal of Ambient Intelligence and Smart Environments, to appear.
G. Acampora, D. J. Cook, P. Rashidi, and A. Vasilakos. A survey on ambient intelligence in health care. Proceedings of the IEEE, to appear.
J. Lloret, C. Zorita, J. Aguiar, B. Carro, A. Sanchez-Esguievillas, D. Chinaaro, J. Gomez, and D. Cook. A multi-agent-system architecture for smart grid management and forecasting of energy demand in virtual power plants. IEEE Communications Magazine, to appear.
P. Rashidi, D. Cook, and W. Pan. COM: A method for mining and monitoring human activity patterns in home-based health monitoring systems. ACM Transactions on Intelligent Systems and Technology, to appear.
L. Callejo, J. Aguiar, L. Calavia, B. Carro, A. Sanchez-Esguevillas, D. Cook, D. Chinarro, and J. Gomez. A study of the relationship between weather variables and electric power demand, and its application to the smart world: smart grid, smart cities, smart environments, and smart systems. Sensors, to appear.
D. Cook, N. Krishnan, and P. Rashidi. Activity discovery and activity recognition: A new partnership. IEEE Transactions on Systems, Man, and Cybernetics, Part B, to appear.
D. Cook, K. Feuz, and N. Krishnan. Transfer learning for activity recognition: A survey. Knowledge and Information Systems, to appear.
C. Chen, D. Cook, and A. Crandall. The user side of sustainability: Modeling behavior and energy usage in the home. Pervasive and Mobile Computing, to appear.
D. De, W.Z. Song, S. Tang, D. Cook, and S. Das. Activity-aware sensor network in smart environments. Pervasive and Mobile Computing, to appear.
D. De, W.Z. Song, S. Tang, and D. Cook. EAR: An energy and activity aware routing protocol for wireless sensor networks in smart environments. The Computer Journal, to appear.
M. Haque, M. Skinner, L. Holder, and D. Cook. Generalized query based active learning to identify differentially methylated regions in DNA. IEEE/ACM Transactions on Computa- tional Biology and Bioinformatics, to appear.
D. Cook and L. Holder. Automated activity-aware prompting for activity initiation. Geron- technology, 11(4):1-11, 2013.
L. Chen, J. Hoey, C. Nugent, D. Cook, and Z. Yu. Sensor-based activity recognition: A survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 42(6):790-808, 2012.
B. Das, D. Cook, M. Schmitter-Edgecombe, and A. Seelye. PUCK: An automated prompting system for smart environments. Personal and Ubiquitous Computing, 16(7):859-873, 2012.
A. Seelye, M. Schmitter-Edgecombe, B. Das, and D. Cook. Application of cognitive rehabil- itation theory to the development of smart prompting technologies. Reviews in Biomedical Engineering, 5:29-44, 2012.
A. Aztiria, J. Augusto, and D. Cook. Discovering frequent user-environment interactions in intelligent environments. Personal and Ubiquitous Computing, 16(1):91-103, 2012.
D. Cook. How smart is your home? Science, 335:1579-1581, 2012.
D. Cook. Learning setting-generalized activity models for smart spaces. IEEE Intelligent Systems, 27(1):32-38, 2012.
D. Cook and S. Das. Pervasive computing at scale: Transforming the state of the art. Pervasive and Mobile Computing, 8(1):22-35, 2012.
H. Fang, R. Srinivasan, and D. Cook. Feature selection for human activity recognition in smart home environments. International Journal of Innovative Computing, Information and Control, 8(5):3525-3535, 2012.
D. Cook, M. Schmitter-Edgecombe, and L. Holder. Gerontechnology education: Beyond the barriers. IEEE Pervasive Computing, 10(4):59-63, 2011.
M. Schmitter-Edgecombe, C. Parsey, and D. Cook. Cognitive correlates of functional perfor- mance in older adults: Comparison of self-report, direct observation and performance-based measures. Journal of the International Neuropsychological Society, 17(5):853-864, 2011.
S. Helal, R. Bose, C. Chen, A. Smith, S. Deugd, and D. Cook. Stepstone: An intelligent inte- gration architecture for personal tele-health. Journal of Computing Science and Engineering, 5(3):269-281, 2011.
P. Rashidi and D. Cook. Activity knowledge transfer in smart environments. Pervasive and Mobile Computing, special issue on activity recognition, 7(3):331- 343, 2011.
D. Cook and L. Holder. Sensor selection to support practical use of health- monitoring smart environments. Data Mining and Knowledge Discovery, 1(4):339- 351, 2011.
P. Rashidi, D. Cook, L. Holder, and M. Schmitter-Edgecombe. Discovering activities to recognize and track in a smart environment. IEEE Transactions on Knowledge and Data Engineering, 23(4):527-539, 2011.
L. Chen, C. Nugent, D. Cook, and Z. Yu. Knowledge-driven activity recognition in intelligent environments. Pervasive and Mobile Computing, 793):285-286, 2011.
S. Deleawe, J. Kusznir, B. Lamb, and D. Cook. Predicting air quality in smart environments. Journal of Ambient Intelligence and Smart Environments, 2(2):145-154, 2010.
D. Cook, A. Crandall, G. Singla, and B. Thomas. Detection of social interaction in smart spaces. Journal of Cybernetics and Systems, special issue on social awareness in smart spaces, 41(2):90-104, 2010.
C. Corley, D. Cook, A. Mikler, and K. Singh. Text and structural data mining of influenza mentions in web and social media. International Journal of Environmental Research and Public Health, special issue on public health informatics, 7(2):596-615, 2010.
C. Corley, D. Cook, A. Mikler, and K. Singh. Using web and social media for influenza surveillance. Advances in Experimental Medicine and Biology, 680:559- 564, 2010.
E. Kim, S. Helal, and D. Cook. Human activity recognition and pattern discovery. IEEE Pervasive Computing, 9(1):48-53, 2010.
G. Singla, D. Cook, and M. Schmitter-Edgecombe. Recognizing independent and joint activ- ities among multiple residents in smart environments. Ambient Intelligence and Humanized Computing Journal, 1(1):57-63, 2010.
A. Crandall and D. Cook. Coping with multiple residents in a smart environment. Journal of Ambient Intelligence and Smart Environments, 1(4):323- 334, 2009.
D. Cook. J. Augusto, and V. Jakkula. Ambient intelligence: Technologies, applications, and opportunities. Journal of Pervasive and Mobile Computing, 5(4):277-298, 2009.
P. Rashidi and D. Cook. Keeping the resident in the loop: Adapting the smart home to the user. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 39(5):949-959, 2009.
D. Cook, L. Holder, S. Thompson, P. Whitney, and L. Chilton. Graph-based analysis of nuclear smuggling data. Journal of Applied Security Research, 4(4):501-517, 2009.
G. Singla, D. Cook, and M. Schmitter-Edgecombe. Tracking activities in complex settings using smart environment technologies. International Journal of BioSciences, Psychiatry and Technology, 1(1):25-35, 2009.
D. Cook, H. Hagras, V. Callaghan, and A. Helal. Making our environments intelligent. Journal of Pervasive and Mobile Computing, 5:556-557, 2009.
S. Szewcyzk, K. Dwan, B. Minor, B. Swedlove, and D. Cook. Annotating smart environ- ment sensor data for activity learning. Technology and Health Care, special issue on Smart Environments: Technology to support health care, 17:161- 169, 2009.
D. Cook and M. Schmitter-Edgecombe. Assessing the quality of activities in a smart envi- ronment. Methods of Information in Medicine, 48(5):480-485, 2009.
D. Cook and W. Song. Ambient intelligence and wearable computing: Sensors on the body, in the home, and beyond. Journal of Ambient Intelligence and Smart Environments, 3:1-4, 2009.
D. Cook. Multi-agent smart environments. Journal of Ambient Intelligence and Smart Envi- ronments, 1:47-51, 2009.
H. Hagras, V. Callaghan, D. Cook, and A. Helal. The Fourth International Conference on Intelligent Environments (IE 08): A Report. AI Magazine, 30(1):124-125, 2009.
D. Brezeale and D. Cook. Learning video preferences using visual features and closed captions. IEEE Multimedia, 16(3):39-47, 2009.
A. Helal, M. Schmalz, and D. Cook. Smart home-based health platform for behavioral mon- itoring and alteration of diabetes patients. Journal of Diabetes Science and Technology, 3(1):1-8, 2008.
C. Corley, A. Mikler, D. Cook, and K. Singh. Dynamic intimate contact social networks and epidemic interventions. International Journal of Environmental and Healthcare Biotechnol- ogy, 1(2):171-188, 2008.
J. Kukluk, L. Holder, and D. Cook. Inferring graph grammars by detecting overlap in frequent subgraphs. International Journal of Applied Mathematics and Computer Science, 18(2):241- 250, 2008.
J. Kukluk, L. Holder, and D. Cook. Inference of edge replacement graph grammars. Inter- national Journal on Artificial Intelligence Tools, 17(3):539-554, 2008.
C. D. Corley, A. R. Mikler, D. Cook, and K. Singh. Dynamic intimate contact social networks and epidemic interventions. International Journal of Functional Informatics and Personalized Medicine, 2008.
V. Jakkula and D. Cook. Anomaly detection using temporal data mining in a smart home environment. Methods of Information in Medicine, 47(1):70-75, 2008.
D. Brezeale and D. Cook. Automatic video classification: A survey of the literature. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 38(3):416-430, 2008.
D. Cook, L. Holder, and G. M. Youngblood. Graph-based analysis of human transfer learning using a game testbed. IEEE Transactions on Knowledge and Data Engineering, 19(11):1-14, 2007.
D. Cook. Making sense of sensor data. IEEE Pervasive Computing, 6(2):105-108, 2007.
J. Kukluk, L. Holder, and D. Cook. Inference of node replacement graph grammars. Intelli- gent Data Analysis, 11(4):377-400, 2007.
G. M. Youngblood and D. Cook. Data mining for hierarchical model creation. IEEE Trans- actions on Systems, Man, and Cybernetics, Part C, 37(4):561-572, 2007.
D. Cook and S. K. Das. How smart are our environments? An updated look at the state of the art. Journal of Pervasive and Mobile Computing, 3(2):53-73, 2007.
K. Gopalratnam and D. Cook. Online sequential prediction via incremental parsing: The Active LeZi algorithm. IEEE Intelligent Systems, 22(1):52-58, 2007.
J. Coble, D. Cook, and L. Holder. Structure discovery in sequentially-connected data streams. International Journal on Artificial Intelligence Tools, 15(6):917-944, 2006.
D. Cook. Health monitoring and assistance to support aging in place. Journal of Universal Computer Science, 12(1):15-29, 2006.
L. Holder, D. Cook, J. Coble and M. Mukherjee. Graph-based relational learning with ap- plication to security. Fundamenta Informaticae Special Issue on Mining Graphs, Trees and Sequences, 66(1-2):83-101, 2005.
N. Ketkar, L. Holder, and D. Cook. Comparison of graph-based and logic-based multi- relational data mining. SIGKDD Explorations Special issue on Link Mining 7(2), 2005.
G. M. Youngblood, D. Cook, and L. Holder. Managing adaptive versatile environments. Journal of Pervasive and Mobile Computing, 1(4):373–403, 2005.
J. Kukluk, L. Holder, and D. Cook. Algorithm and experiments in testing planar graphs for isomorphism. Journal of Graph Algorithms and Applications, 8(2):313- 356, 2005.
J. Coble, D. Cook, R. Rathi, and L. Holder. Iterative structure discovery in graph-based data. International Journal of Artificial Intelligence Tools, 14(1- 2):101-124, 2005.
D. Cook and S. K. Das. MavHome: Work in progress. IEEE Pervasive Computing, 2004.
D. Cook, L. Holder, M. Huber, and R. Yerraballi. Enhancing computer science education with a wireless intelligent simulation environment. Journal of Computing in Higher Education, 16(1), 2004.
K. Gopalratnam and D. Cook. Active LeZi: An incremental parsing algorithm for sequential prediction. International Journal of Artificial Intelligence Tools, 14(1- 2):917-930, 2004.
I. Jonyer, L. Holder and D. Cook. MDL-based context-free graph grammar induction and applications. International Journal on Artificial Intelligence Tools, 13(1):45- 64, 2004.
A. Rakhshan, L. Holder and D. Cook. Structural web search engine. International Journal on Artificial Intelligence Tools, 13(1):27-44, 2004.
S. Rao and D. Cook. Predicting inhabitant actions using action and task models with appli- cation to smart homes. International Journal on Artificial Intelligence Tools, 13(1):81-100, 2004.
L. Holder and D. Cook. Graph-based relational learning: Current and future directions. SIGKDD Explorations special issue on Multirelational Data Mining, 5(1):90-93, 2003.
D. Cook, N. Manocha, and L. Holder. Using a graph-based data mining system to perform web search. International Journal of Pattern Recognition and Artificial Intelligence, 17(5):705-720, 2003.
P. Sandanayake and D. Cook. ONASI: Online agent modeling using a scalable Markov model. International Journal of Pattern Recognition and Artificial Intelligence, 17(5):757-779, 2003.
G. Peterson and D. Cook. Incorporating decision-theoretic planning in a robot architecture. Robotics and Autonomous Systems, 42(2):89-106, 2003.
S. K. Das, D. Cook, A. Bhattacharya, E. O. Heierman, III, and T.-Y. Lin. The role of predic- tion algorithms in the MavHome smart home architecture. IEEE Wireless Communications Special Issue on Smart Homes, 9(6):77-84, 2002.
W. Harris, D. Cook, and F. Lewis. A matrix formulation for integrating assembly trees and manufacturing resource planning (MRP) with capacity constraints. Journal of Intelligent Manufacturing, 13(4):239-252, 2002.
J. Ramirez, D. Cook, L. Peterson, and D. Peterson. Temporal pattern discovery in course- of-disease data. IEEE Engineering in Medicine and Biology, 2002.
I. Jonyer, D. Cook, and L. Holder. Graph-based hierarchical conceptual clustering. Journal of Machine Learning Research, 2:19-43, 2001.
D. Cook, L. Holder, S. Su, R. Maglothin, and I. Jonyer. Structural mining of molecular biology data. IEEE Engineering in Medicine and Biology special issue on Advances in Genomics, 20(4):67-74, 2001.
L. Holder and D. Cook. A client-server computational tool for integrated artificial intelligence curriculum. Journal of Computing in Higher Education, 12(2), 2001.
I. Jonyer, L. Holder, and D. Cook. Hierarchical conceptual structural clustering. International Journal on Artificial Intelligence Tools, 10(1-2):107-136, 2001.
C. Hannon and D. Cook. A parallel approach to modeling language learning and understand- ing in young children. International Journal on Artificial Intelligence Tools, 10(1-2):39-64, 2001.
D. Cook, L. Holder, G. Galal, and R. Maglothin. Approaches to parallel graph- based knowl- edge discovery. Journal of Parallel and Distributed Computing, 61(3):427-446, 2001.
N. Manocha, D. Cook, and L. Holder. Structural web search using a graph-based discovery system. Intelligence Magazine, 12(1):20-29, 2001.
D. Cook and L. Holder. Graph-based data mining. IEEE Intelligent Systems, 15(2):32-41, 2000.
W. Harris, D. Cook, and F. Lewis. Automatically generating plans for manufacturing. Jour- nal of Intelligent Systems, 10(3):297-319, 2000.
J. Ramirez, D. Cook, L. Peterson, and D. Peterson. An event set approach to sequence discovery in medical data. Intelligent Data Analysis, 4(6):513-530, 2000.
D. Cook and R. C. Varnell. Adaptable incremental deepening search. Journal of Artificial Intelligence Research, 9:167-194, 1999.
S. Su, D. Cook, and L. Holder. Knowledge discovery in molecular biology: Identifying struc- tural regularities in proteins. Intelligent Data Analysis, 3:413- 436, 1999.
D. Cook. Preface to the FLAIRS special issue. International Journal of Pattern Recognition and Artificial Intelligence, 13(2):1-2, 1999.
K. S. Tae, D. Cook, and L. Holder. Experimentation-driven knowledge acquisition for plan- ning. Computational Intelligence, 15(3), 1999.
G. Galal, D. Cook and L. Holder. Exploiting parallelism in a scientific discovery system to improve scalability. Journal of the American Society for Information Science, 50(1):65-73, 1999.
W. Harris, F. Lewis, and D. Cook. Machine planning for manufacturing: Dynamic resource allocation and on-line supervisory control. Journal of Intelligent Manufacturing, 9(5):413-430, 1998.
S. Djoko, D. Cook, and L. Holder. An empirical study of domain knowledge and its benefits to substructure discovery. IEEE Transactions on Knowledge and Data Engineering, 9(4):575- 586, 1997.
D. Cook, P. Gmytrasiewicz and L. Holder. Decision-theoretic cooperative sensor planning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(10), 1996.
D. Cook, L. Holder, and S. Djoko. Scalable discovery of informative structural concepts using domain knowledge. IEEE Expert, 10:59-68, 1996.
K. Woods, D. Cook, L. Hall, K. Bowyer, and L. Stark. Learning combination of evidence functions in object recognition. Journal of Artificial Intelligence Research, 3:187-222, 1995.
D. Cook, L. Holder, and S. Djoko. Knowledge discovery from structural data. Journal of Intelligence and Information Sciences, 5(3):229-245, 1995.
K. S. Tae and D. Cook. Learning rules from redundant and incomplete domain theory. The Journal of Computing in Small Colleges, 10(5), 1995.
D. Cook and L. Holder. Substructure discovery using minimum description length and back- ground knowledge. Journal of Artificial Intelligence Research, 1:231- 255, 1994.
D. Cook, L. Hall, and W. Thomas. Parallel search using Transformation-Ordering Iterative- Deepening A*. International Journal of Intelligent Systems, 8(8):855-873, 1993.
L. Holder and D. Cook. Discovery of inexact concepts from structural data. IEEE Transac- tions on Knowledge and Data Engineering, 5(6):992-994, 1993.
D. Cook and G. Lyons. Massively parallel IDA* search. International Journal on Artificial Intelligence Tools, 2(2):163-180, 1993.
D. Cook. Parallel techniques for planning by analogy. International Journal of Expert Sys- tems, 5(2):169-179, 1992.
D. Cook. Application of parallelized analogical planning to engineering design. International Journal of Applied Intelligence, 1:133-144, 1991.
Magazine Articles
D. Cook. Providing for older adults using smart environments. IEEE-USA Today’s Engineer, 2007.
Books
Mining Graph Data. (D. Cook and L. Holder, editors), John Wiley and Sons, December 2006.
Advanced Methods for Knowledge Discovery from Complex Data. (S. Bandyopadhyay, U. Maulik, L. Holder, and D. Cook, editors), Springer, September 2005.
Smart Environments: Technologies, Protocols and Applications. (D. Cook and S. Das, edi- tors), John Wiley and Sons, September 2004.
Book Reviews
D. Cook, Review of advances in distributed and parallel knowledge discovery. International Journal of Computational Intelligence and Applications, 2002.
Book Chapters
A. Crandall and D. Cook. Behaviometrics for multiple residents in a smart environment. Human Aspects in Ambient Intelligence, Atlantis Press, 2013.
B. Das, N. Krishnan, and D. Cook. Handling imbalanced and overlapping classes in a smart environments prompting dataset. Data Mining for Service, 2012.
M. Schmitter-Edgecombe, A. Seelye, and D. Cook. Technologies for health assessment, pro- motion and assistance: Focus on gerontechnology. In J.J. Randolph (Ed.), Positive Neu- ropsychology: An Evidence-Based Perspective on Promoting Cognitive Health. Springer, 2012.
D. Cook and L. Holder. Sensor selection to support practical use of health- monitoring smart environments. Handbook of Ambient Assisted Living for Healthcare, Well-being and Reha- bilitation, IOS Press, 2012.
B. Das, N. Krishnan, and D. Cook. Automated activity interventions to assist with activities of daily living. Agents and Ambient Intelligence, IOS Press, 2012.
A. Crandall and D. Cook. Tracking systems for multiple smart home residents. Human Behavior Recognition Technologies, IGI Global, 2011.
C. Chen and D. Cook. Novelty detection in human behavior through analysis of energy utilization. Human Behavior Recognition Technologies, IGI Global, 2011.
P. Rashidi and D. Cook. An adaptive sensor mining framework for pervasive computing applications. Lecture Notes in Computer Science, 5840:154-174, 2010.
D. Cook and A. Crandall, Learning activity models for multiple agents in a smart space. Handbook of Ambient Intelligence and Smart Environments, N. Hideyuki, H. Aghajan, and J. Augusto, eds., Elsevier, pages 751-769, 2009.
C. You, L. Holder and D. Cook. Substructure analysis of metabolic pathways by graph-based relational learning, in A. Sidhu and T. Dillon (editors) Biomedical Data and Applications, Springer, 2009.
W. Eberle, L. Holder, and D. Cook, Identifying threats using graph-based anomaly detection. Machine Learning in Cyber Trust – Security, Reliability, Privacy, Springer, 2008.
V. Jakkula, A. Crandall, and D. Cook, Enhancing anomaly detection using temporal pat- tern discovery. Advanced Intelligent Environments, W. Minker, M. Weber, H. Hagras, V. Callaghan, and A. Kameas, eds., pages 175-194, Springer, 2008.
V. Jakkula and D. Cook, Mining temporal relations in smart environment data using TempAl. Knowledge Discovery from Sensor Data, Taylor and Francis, 2008.
V. Jakkula and D. Cook, Enhancing smart home algorithms using temporal relations. Tech- nology and Aging, IOS Press, 2008.
V. Jakkula, A. Crandall, and D. Cook, Enhancing anomaly detection using temporal pattern discovery. Advanced Intelligent Environments, Springer, 2008.
D. Cook, A multi-agent approach to controlling a smart environment. AI and Smart Homes, 9.C. Augusto and U. Nehmzow, Editors, Springer Verlag, 2008.
D. Cook, G. M. Youngblood, and G. Jain, Algorithms for smart spaces. The Engineer- ing Handbook on Smart Technology for Aging, Disability and Independence, A. Helal, M. Mokhtari and B. Abdulrazak, Editors, John Wiley and Sons, 2007.
D. Brezeale and D. Cook, Learning video preferences from video content. Proceedings of the International workshop on Multimedia Data Mining, 2007.
J. Potts, D. Cook, and L. Holder, Learning from supervised graphs. Applied Graph Theory in Computer Vision and Pattern Recognition (M. Last, A. Kandel, and H. Bunke, editors), Springer, 2006.
D. Cook, G. M. Youngblood, and S. Das, A multi-agent approach to controlling a smart environment. AI and Smart Homes, pages 165-182, Springer Verlag, 2006.
S. Das and D. Cook, Smart home environments: A paradigm based on learning and prediction. Wireless Mobile and Sensor Networks: Technology, Applications and Future Directions, (R. Shorey, A. Ananda, M. C. Chan, and W. T. Ooi, eds.), pages 337-356, Wiley, 2006.
D. Cook, L. Holder, J. Coble and J. Potts, Graph-based mining of complex data. S. Bandy- opadhyay, U. Maulik, L. Holder and D. J. Cook (eds.), Advanced Methods for Knowledge Discovery from Complex Data, Springer, 2005.
L. Holder and D. Cook, Graph-based data mining. J. Wang (ed.), Encyclopedia of Data Warehousing and Mining, Idea Group Publishing, 2005.
S. Das and D. Cook, Health monitoring in an agent-based smart home by activity prediction. Toward a Human-Friendly Assistive Environment, D. Zhang and M. Mokhari (eds.), IOS Press, pages 3-14, 2004.
D. Cook and G. M. Youngblood, Smart homes. Encyclopedia of Human-Computer Interac- tion, pages 623–627, 2004.
D. Cook, Prediction and recognition of activities, D. Cook and S. Das (eds.). Smart Envi- ronments: Technologies, Protocols and Applications, Wiley, 2004.
L. Holder, D. Cook, J. Gonzalez, and I. Jonyer, Structural pattern recognition in graphs. Pattern Recognition and String Matching (D. Chen and X. Cheng, eds.), Kluwer Academic Publishers, 2002.
J. Ramirez, D. Cook, L. Peterson, and D. Peterson, Temporal pattern discovery in sparse course-of-disease data. Medical Data Mining and Knowledge Discovery (K.J. Cios, ed.), Springer-Verlag, 2001.
D. Cook, G. Galal, and L. Holder, Improving scalability of scientific discovery systems by exploiting parallelism. Pattern Discovery in Biological Data: Tools, Techniques and Applica- tion, J. Wang, B. Shapiro, and D. Shasha (eds.), Oxford University Press, 1999.
E. Mettala, D. Cook and K. Harbison, Scenario-based design of UGV RSTA algorithms. Reconnaissance, Surveillance, and Target Acquisition for the Unmanned Ground Vehicle, O. Firschein and T. Strat (eds.), 1997.
D. Cook, P. Gmytrasiewicz and L. Holder, Decision-theoretic multi-agent cooperative sensor planning. Reconnaissance, Surveillance, and Target Acquisition for the Unmanned Ground Vehicle, O. Firschein and T. Strat (eds.), 1997.
D. Cook, A hybrid approach to improving the performance of parallel search. Parallel Pro- cessing for Artificial Intelligence, J. Geller (ed.), Elsevier Science Publishers, 1997.
L. Stark, K. Bowyer, K. Woods, L. Hall, and D. Cook, Application of learning techniques in a function-based recognition system. Symbolic Visual Learning, K. Ikeuchi and M. Veloso (eds.), Oxford University Press, 1995.
K. Woods, D. Cook, L. Hall, L. Stark, and K. Bowyer, Learning fuzzy membership functions in a function-based object recognition system. Fuzzy Logic in Artificial Intelligence, Anca L. Ralescu, editor, Springer-Verlag, pages 77-96, 1994.
D. Cook, The nature of learning mappings between analogous plans. Computational Learning Theory and Natural Learning Systems, Constraints and Prospects, S. Hanson, G. Drastal, and R. Rivest (eds.), 1994.
D. Cook, Planning by analogy on the Connection Machine. Advances in Artificial Intelligence Research, Volume III, 1993.
Conference Proceedings
K. Feuz and D. Cook. Real-time annotation tool (RAT). Proceedings of the AAAI Workshop on Activity Context-Aware System Architectures, 2013.
J. Williams, A. Weakley, D. Cook, and M. Schmitter-Edgecombe. Machine learning tech- niques for diagnostic differentiation of mild cognitive impairment and dementia. Proceedings of the AAAI Workshop on Expanding the Boundaries of Health Informatics Using AI, 2013.
N. Roy, A. Misra, and D. Cook. Infrastructure-assisted smartphone-based ADL recognition in multi-inhabitant smart environments. Proceedings of the IEEE International Conference on Pervasive Computing and Communication, 2013.
D. De, W. Song, and D. Cook. FindingHuMo: Real-time tracking of motion trajectories from anonymous binary sensing in smart environments. Proceedings of the International Conference on Distributed Computing Systems, 2012.
L. Zulas, A. Crandall, M. Schmitter-Edgecombe, and D. Cook. Caregiver needs from elder care assistive smart homes: Nursing assessment. Proceedings of the International Conference of the Human Factors and Ergonomics Society, 2012.
A. Crandall, L. Zulas, N. Krishnan, K. Feuz, and D. Cook. Visualizing your ward: Bringing smart home data to caregivers. Proceedings of the CHI Workshop on Emerging Technologies for Healthcare and Aging, 2012.
B. Das, A. Seelye, B. Thomas, D. Cook, L. Holder, and M. Schmitter-Edgecombe. Using smart phones for context-aware prompting in smart environments. Proceedings of the IEEE International Workshop on Consumer eHealth Platforms, Services and Applications, 2012.
A. Crandall and D. Cook. Smart home in a box: A large scale smart home deployment. Proceedings of the Workshop on Large Scale Intelligent Environments, 2012.
E. Nazerfard and D. Cook. Bayesian network structure learning for activity prediction in smart homes. Proceedings of the International Conference on Intelligent Environments, 2012.
S. Dernbach, B. Das, N. Krishnan, B. Thomas, and D. Cook. Simple and complex activity recognition through smart phones. Proceedings of the International Conference on Intelligent Environments, 2012.
C. Chen and D. Cook. Behavior-based home energy prediction. Proceedings of the Interna- tional Conference on Intelligent Environments, 2012.
Y. Sahaf, N. Krishnan, and D. Cook. Defining the complexity of an activity. Proceedings of the AAAI Workshop on Activity Context Representation: Techniques and Languages, 2011.
P. Dawadi, D. Cook, C. Parsey, M. Schmitter-Edgecombe, and M. Schneider. An approach to cognitive assessment in smart homes. Proceedings of the KDD Workshop on Medicine and Healthcare, 2011.
C. Chen and D. Cook. Energy outlier detection in smart environments. Proceedings of the AAAI Workshop on Artificial Intelligence and Smarter Living: The Conquest of Complexity, 2011.
V. Jakkula and D. Cook. Detecting anomalous sensor events in smart home data for enhancing the living experience. Proceedings of the AAAI Workshop on Artificial Intelligence and Smarter Living: The Conquest of Complexity, 2011.
P. Rashidi and D. Cook. Ask me better questions: Active learning queries based on rule induction. Proceedings of the International Conference on Knowledge Discovery and Data Mining, pages 904-912, 2011.
S. Tang, D. De, W. Song, D. Cook, and S. Das. ActSee: Activity-aware radio duty-cycling for sensor networks in smart environments. Proceedings of the International Conference on Networked Sensing Systems, 2011.
B. Das and D. Cook. Data mining challenges in automated prompting systems. Workshop on Interacting with Smart Objects, 2011.
P. Rashidi and D. Cook. Domain selection and adaptation in smart homes. Proceedings of the International Conference on Smart Homes and Health Telematics, 2011.
B. Das and D. Cook. An automated prompting system for smart environments. Proceedings of the International Conference on Smart Homes and Health Telematics, pages 9–16, 2011.
E. Nazerfard, P. Rashidi, and D. Cook. Using association rule mining to discover temporal relations of daily activities. Proceedings of the International Conference on Smart Homes and Health Telematics, 2011.
B. Das and D. Cook. Data mining challenges in automated prompting systems. Proceedings of the Workshop on Interacting with Smart Objects, 2011.
S. Helal, J. Lee, S. Hossain, E. Kim, H. Hagras, and D. Cook. Persim – Simulator for human activities in pervasive spaces. Proceedings of the International Conference on Intelligent Environments, 2011.
P. Rashidi and D. Cook. Mining sensor streams for discovering human activity patterns over time. Proceedings of the IEEE International Conference on Data Mining, pages 431-440, 2010.
B. Das, C. Chen, N. Dasgupta, D. Cook, and A. Seelye. Automated prompting in a smart home environment. Proceedings of the ICDM Workshop on Data Mining for Service, 2010.
E. Nazerfard, P. Rashidi, and D. Cook. Discovering temporal features and relations of activity patterns. Proceedings of the ICDM Workshop on Data Mining for Service, 2010.
P. Rashidi and D. Cook. Mining and monitoring patterns of daily routines for assisted living in real world settings. Proceedings of the ACM International Health Informatics Symposium, 2010.
E. Nazerfard, L. Holder, and D. Cook. Conditional random fields for activity recognition in smart environments. Proceedings of the ACM International Health Informatics Symposium, 2010.
P. Rashidi and D. Cook. Home to home transfer learning. Proceedings of the AAAI Plan, Activity, and Intent Recognition Workshop, 2010.
P. Rashidi and D. Cook. Multi home transfer learning for resident activity discovery and recognition. Proceedings of the International Workshop on Knowledge Discovery from Sensor Data, pages 53-63, 2010.
R. Srinivasan, C. Chen, and D. Cook. Activity recognition using an actigraph sensor. Pro- ceedings of the International Workshop on Knowledge Discovery from Sensor Data, 2010.
C. Chen, B. Das, and D. Cook. Energy prediction based on resident’s activity. Proceedings of the International Workshop on Knowledge Discovery from Sensor Data, 2010.
J. Kusznir and D. Cook. Designing lightweight software architectures for smart environments. Proceedingsof the International Conference on Intelligent Environments, 2010.
C. Chen, B. Das, and D. Cook. A data mining framework for activity recognition in smart environments. Proceedings of the International Conference on Intelligent Environments, 2010.
A. Crandall and D. Cook. Using a hidden Markov model for resident identification. Proceed- ings of the International Conference on Intelligent Environments, 2010.
A. Aztiria and D. Cook. Automatic modeling of frequent user behaviours in intelligent envi- ronments. Proceedings of the International Conference on Intelligent Environments, 2010.
V. Jakkula and D. Cook. Outlier detection in smart environment structured power datasets. Proceedingsof the International Conference on Intelligent Environments, 2010.
A. Elfaham, H. Hagras, S. Helal, S. Hossain, J. Lee, and D. Cook. A fuzzy based verifi- cation agent for the PerSim human activity simulator in ambient intelligence environments. Proceedings of the IEEE International Conference on Fuzzy Systems, 2010.
C. You, L. Holder, and D. Cook. Learning patterns in the dynamics of biological network. Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2009.
C. Corley, A. Mikler, K. Singh, and D. Cook. Monitoring influenza trends through mining social media. Proceedings of the International Conference on Bioinformatics and Computa- tional Biology, 2009.
N. Ketkar, L. Holder, and D. Cook. gRegress: Extracting features from graph transactions for regression. Proceedings of the International Joint Conference on Artificial Intelligence, 2009.
N. Ketkar, L. Holder, and D. Cook. Faster computation of the direct product kernel for graph classification. Proceedings of the Symposium on Computational Intelligence and Data Mining, 2009.
N. Ketkar, L. Holder, and D. Cook. Empirical comparison of graph classification algorithms. Proceedings of the Symposium on Computational Intelligence and Data Mining, 2009.
A. Mendez-Vazquez, S. Helal, and D. Cook. Simulating events to generate synthetic data for pervasive spaces. Proceedings of the CHI Workshop on Developing Shared Home Behavior Datasets to Advance HCI and Ubiquitous Computing Research, 2009.
D. Cook, M. Schmitter-Edgecombe, A. Crandall, C. Sanders, and B. Thomas. Collecting and disseminating smart home sensor data in the CASAS project. Proceedings of the CHI Workshop on Developing Shared Home Behavior Datasets to Advance HCI and Ubiquitous Computing Research, 2009.
A. Crandall and D. Cook. Resident and caregiver: Handling multiple individuals in a smart care facility. Proceedings of the AAAI Fall Symposium on AI in ElderCare, pages 39-47, 2008.
G. Singla and D. Cook. Interleaved activity recognition for smart environments. Proceedings of the International Conference on Intelligent Environments, 2009.
P. Rashidi and D. Cook. Transferring learned activities in smart environments. Proceedings of the International Conference on Intelligent Environments, 2009.
C. You, L. Holder, and D. Cook, Graph-based data mining in dynamic networks: Empirical comparison of compress-based and frequency-based subgraph mining. Proceedings of the Workshop on Analysis of Dynamic Networks, 2008.
P. Rashidi and D. Cook, An adaptive sensor mining framework for pervasive computing applications. Proceedings of the KDD Workshop on Knowledge Discovery from Sensor Data, 2008.
C. You, L. Holder, and D. Cook, Graph-based temporal mining of metabolic pathways with microarray data. Proceedings of the SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD), 2008.
A. Aztiria, J. Augusto, A. Izaguirre, and D. Cook, Learning accurate temporal relations from user actions in intelligent environments. Proceedings of the Symposium of Ubiquitous Computing and Ambient Intelligence, 2008.
C. You, L. Holder, and D. Cook, Temporal and structural analysis of biological networks in combination with microarray data. Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008.
W. Davis, A. Kalyanaraman, and D. Cook, An informatic theoretic approach for the discovery of irregular and repetitive patterns in genomic data. Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008.
C. You, L. Holder, and D. Cook, Dynamic graph-based relational learning of temporal pat- terns in biological networks changing over time. Proceedings of the International Conference on Bioinformatics and Computational Biology, 2008.
P. Rashidi and D. Cook, Adapting to resident preferences in smart environments. Proceedings of the AAAI Workshop on Advances in Preference Handling, pages 78-84, 2008.
G. Singla, D. Cook, and M. Schmitter-Edgecombe, Incorporating temporal reasoning into activity recognition for smart home residents. Proceedings of the AAAI Workshop on Spatial and Temporal Reasoning, pages 53-61, 2008.
S. Lockwood and D. Cook, Computer, light on!. Proceedings of the International Conference on Intelligent Environments, 2008.
A. Crandall and D. Cook, Attributing events to individuals in multi-inhabitant environments. Proceedingsof the International Conference on Intelligent Environments, 2008.
P. Rashidi and D. Cook, Keeping the intelligent environment resident in the loop. Proceedings of the International Conference on Intelligent Environments, 2008.
J. Tilton, D. Cook, and N. Ketkar, The integration of graph based knowledge discovery with image segmentation hierarchies for data analysis, data mining and knowledge discovery. Proceedings of the IEEE International Geoscience& Remote Sensing Symposium, 2008.
V. Jakkula, A. Crandall, and D. Cook, Knowledge discovery in entity based smart environ- ment resident data using temporal relations based data mining. Proceedings of the ICDM Workshop on Spatial and Spatio-Temporal Data Mining, 2007.
C. Corley, L. Brown, A. Mikler, D. Cook, and K. Singh, Generating social networks of intimate contacts for the study of public health intervention strategies. Proceedings of the IEEE Seventh International Symposium on BioInformatics and BioEngineering, 2007.
W. Davis, A. Kalyanaraman, and D. Cook, An information theoretic approach for the dis- covery of irregular and repetitive patterns in genomic data. Proceedings of the International Conference on Computational Systems Bioinformatics, 2007.
V. Jakkula and D. Cook, Mining sensor data in smart environments for temporal activity prediction. Proceedings of the First International Workshop on Knowledge Discovery from Sensor Data, 2007.
J. Kukluk, L. Holder, and D. Cook, Inference of node and edge replacement graph grammars. Proceedings of the ICML Workshop on Challenges and Applications of Grammar Induction, 2007.
V. Jakkula, A. Crandall, and D. Cook, Temporal pattern discovery for anomaly detection in smart homes. Proceedings of the International Conference on Intelligent Environments, pages 339-345, 2007.
V. Jakkula and D. Cook, Using temporal relations in smart home data for activity prediction. Proceedings of the ICML Workshop on the Induction of Process Models, 2007.
J. Kukluk, C. You, L. Holder and D. Cook, Learning node replacement graph grammars in metabolic pathways. International Conference on Bioinformatics and Computational Biology, 2007.
V. Jakkula and D. Cook, Learning temporal relations in smart home data. Proceedings of the Second International Conference on Technology and Aging, 2007.
V. Jakkula and D. Cook, Prediction models for a smart home based health care system. Proceedings of the First International Workshop on Smart Homes for Tele-Health, 2007.
P. Rashidi, G. M. Youngblood, D. Cook, and S. Das, Inhabitant guidance of smart environ- ments. Proceedings of the International Conference on Human- Computer Interaction, pages 910-919,2007.
J. Kukluk, L. Holder, and D. Cook, Inference of edge replacement graph grammars. Proceed- ings of the Florida Artificial Intelligence Research Symposium, 2007.
D. Cook, A. Crandall, and M. Schmitter-Edgecombe, Smart environment support to assist elder adults and people with disabilities. Proceedings of the Workshop on Intelligent Systems for Assisted Cognition, 2007.
K. Ates, J. Kukluk, L. Holder, D. Cook and K. Zhang, Graph grammar induction on structural data for visual programming. Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence, November 2006.
J. Kukluk, C. You, L. Holder and D. Cook, Discovering recursive patterns in biological net- works. Dallas Area Bioinformatics and Computational Biology Workshop, August 2006.
D. Brezeale and D. Cook, Using closed caption and visual features to classify movies by genre. Proceedings of the KDD/MDM Workshop, 2006.
N. Ketkar, L. Holder, and D. Cook, Mining in the proximity of subgraphs. Proceedings of LinkKDD, 2006.
C.-C. Tseng and D. Cook, Mining from time series human movement data. Proceedings of the Conference on Systems, Man, and Cybernetics, 2006.
V. Jakkula, G. M. Youngblood, and D. Cook, Identification of lifestyle behavior patterns with prediction of the happiness of an inhabitant in a smart home. Proceedings of the AAAI Workshop on Computational Aesthetics, 2006.
G. Jain, D. Cook, and V. Jakkula, Monitoring health by detecting drifts and outliers for a smart environment inhabitant. Proceedings of the International Conference On Smart Homes and Health Telematics, pages 114-121, 2006.
J. Kukluk, L. Holder and D. Cook, Inference of node replacement recursive graph grammars. Proceedings of the SIAM International Conference on Data Mining, April 2006.
C. You, L. Holder, and D. Cook. Application of graph-based data mining to metabolic pathways, Proceedings of the International Conference on Data Mining, 2006.
S. Das and D. Cook, Designing and modeling smart environments. Proceedings of the Work- shop on Autonomic Computing and Communications, 2006.
C. D. Corley, D. Cook, L. Holder, and K. P. Singh, Graph-based data mining in epidemic and terrorism data. Proceedings of the Conference on Quantitative Methods and Statistical Applications in Defense and National Security, 2006.
G. M. Youngblood, D. Cook, and L. Holder, Seamlessly engineering a smart environment. Proceedings of the IEEE Conference on Systems, Man, and Cybernetics, 2005.
N. Ketkar, L. Holder and D. Cook, Qualitative comparison of graph-based and logic- based multi-relational data mining: A case study. Proceedings of the ACM KDD Workshop on Multi-Relational Data Mining, August 2005.
N. Ketkar, L. Holder, D. Cook, R. Shah and J. Coble, Subdue: Compression- based frequent pattern discovery in graph data. Proceedings of the ACM KDD Workshop on Open-Source Data Mining, August 2005.
S. Das and D. Cook, Designing smart environments: A paradigm based on learning and pre- diction. Proceedings of First International Conference on Pattern Recognition and Machine Intelligence (PReMI’05), pages 80–90, Kolkata, India, Dec 18-22, 2005.
G. M. Youngblood, D. Cook, L. Holder and E. Heierman, Automation intelligence for the smart environment. Proceedings of the International Joint Conference on Artificial Intelli- gence, 2005.
J. Potts, L. Holder, D. Cook, and J. Coble, Learning concepts from intelligence data embedded in a supervised graph. Proceedings of the International Conference on Intelligence Analysis, 2005.
G. M. Youngblood, L. Holder, and D. Cook, A learning architecture for automating the intelligent environment. Proceedings of the Conference on Innovative Applications of Artificial Intelligence, pages 1576-1581, 2005.
J. Coble and D. Cook, Structure discovery in sequentially connected data. Proceedings of the Florida Artificial Intelligence Research Symposium, 2005. Recipient of the best paper award.
K. Gee and D. Cook, Text classification using graph-encoded linguistic elements. Proceedings of the Florida Artificial Intelligence Research Symposium, 2005.
R. Rathi and D. Cook, A serial partitioning approach to scaling graph-based knowledge discovery. Proceedings of the Florida Artificial Intelligence Research Symposium, 2005.
J. Potts, D. Cook, and L. Holder, Learning from examples in a single graph. Proceedings of the Florida Artificial Intelligence Research Symposium, 2005.
G. M. Youngblood, D. Cook, and L. Holder, Managing adaptive versatile environments. Pro- ceedings of the IEEE International Conference on Pervasive Computing and Communications, pages 351-360, 2005.
S. Das and D. Cook, Health monitoring in an agent-based smart home. Proceedings of the International Conference on Smart Homes and Health Telematics (ICOST), Singapore, September, 2004.
E. Heierman, M. Youngblood, and D. Cook, Mining temporal sequences to discover interesting patterns. KDD Workshop on Mining Temporal and Sequential Data, 2004.
I. Jonyer, L. Holder, and D. Cook, Attribute-value selection based on the minimum description length. Proceedings of the International Conference on Artificial Intelligence, 2004.
J. Coble, D. Cook, L. Holder, and R. Rathi, Structure discovery from sequential data. Pro- ceedings of the Florida Artificial Intelligence Research Symposium, 2004.
D. Cook, S. Das, K. Gopalratnam, and A. Roy, Health monitoring in an agent- based smart home. Proceedings of the International Conference on Aging, Disability and Independence Advancing Technology and Services to Promote Quality of Life, 2003.
E. Heierman and D. Cook, Improving home automation by discovering regularly occurring device usage patterns. Proceedings of the International Conference on Data Mining, pages 537-540,2003.
Y. Wang, D. Cook, V. Papudesi, and M. Huber, User-guided reinforcement learning of robot assistive tasks for an intelligent environment. Proceedings of the Conference on Intelligent Robots and Systems, 2003.
S. Rao and D. Cook, Identifying tasks and predicting actions in smart homes using unlabeled data. Proceedings of the Machine Learning Workshop on The Continuum from Labeled to Unlabeled Data, 2003.
C. Noble and D. Cook, Graph-based anomaly detection. Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 631- 636, 2003.
F. Khawaja, D. Gjoni, M. Huber, D. Cook and M. Youngblood, Achieving faster convergence to the optimal policy by using knowledge of the reward structure. Artificial Intelligence Applications Conference, 2003.
I. Jonyer, L. Holder, and D. Cook, MDL-based context-free graph grammar induction. Pro- ceedings of the Florida Artificial Intelligence Research Symposium, pages 351–355, May 2003. Runner up for the best paper award.
A. Rakhshan, L. Holder, and D. Cook, Structural web search engine. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 319–323, May 2003.
K. Gopalratnam and D. Cook, Active LeZi: An incremental parsing algorithm for device usage prediction in the smart home. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 38–42, May 2003.
R. Mehta, D. Cook, and L. Holder, Identifying inhabitants of an intelligent environment using a graph-based data mining system. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 314–318, May 2003.
S. Rao and D. Cook, Improving the performance of action prediction through identification of abstract tasks. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 43–47, May 2003.
V. Papudesi, M. Huber, Y. Wang, and D. Cook, Integrating user commands and autonomous task performance in a reinforcement learning framework. Proceedings of the AAAI Spring Symposium on Human Interaction with Autonomous Systems in Complex Environments, 2003.
D. Cook, G. M. Youngblood, E. Heierman, K. Gopalratnam, S. Rao, A. Litvin, and F. Khawaja, MavHome: An agent-based smart home. Proceedings of the IEEE International Conference on Pervasive Computing and Communications, pages 521– 524, 2003.
A. Roy, S. Bhaumik, A. Bhattacharya, K. Basu, D. Cook, and S. Das, Location aware resource management in smart homes. Proceedings of the Conference on Pervasive Computing, 2003.
K. Gee and D. Cook, Using latent semantic indexing to filter spam. ACM Symposium on Applied Computing, Data Mining Track, 2003.
D. Cook, M. Huber, K. Gopalratnam, and M. Youngblood. Learning to control a smart home environment. Proceedings of Innovative Applications of Artificial Intelligence, 2003.
C. Pace and D. Cook, A preview of home automation. Proceedings of the Conference for the Louis Stokes Alliance for Minority Participation, 2002. This paper won the best presentation award.
I. Jonyer, L. Holder, and D. Cook, Concept formation using graph grammars. Proceedings of the KDD Workshop on Multi-Relational Data Mining, 2002.
J. Gonzalez, L. Holder, and D. Cook, Experimental comparison of graph-based relational concept learning with inductive logic programming systems. Proceedings of the Inductive Logic Programming Conference, 2002.
J. Gonzalez, L. Holder, and D. Cook, Graph-based relational concept learning. Proceedings of the International Machine Learning Conference, 2002.
S. Bandyopadhyay, U. Maulik, D. Cook, L. Holder, and Y. Ajmerwala, Enhancing structure discovery for data mining in graphical databases using evolutionary programming. Proceed- ings of the Florida Artificial Intelligence Research Symposium, pages 232–236, 2002.
P. Sandanayake and D. Cook, Imitating agent game strategies using a scalable Markov model. Proceedings of the Florida Artificial Intelligence Research Symposium, 2002.
J. Gonzalez, L. Holder, and D. Cook, Application of graph-based concept learning to the predictive toxicology domain. Proceedings of the Predictive Toxicology Challenge Workshop, 2001.
N. Manocha, D. Cook, and L. Holder, Structural web search using a graph-based discovery system. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 133– 137, 2001.
D. Cook and L. Holder, A client-server interactive tool for integrated artificial intelligence curriculum. Proceedings of the FLAIRS Special Track on AI Education, pages 206–210, 2001.
J. R. Nayak and D. Cook, Approximate association rule mining. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 259–263, 2001.
J. Gonzalez, L. Holder, and D. Cook, Graph-based concept learning. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 377–381, 2001.
C. Hannon and D. Cook, Exploring the use of cognitive models in AI applications using the Stroop effect. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 433–438, 2001.
J. Gonzalez, L. Holder, and D. Cook, Graph-based concept learning. Proceedings of the National Conference on Artificial Intelligence, 2000.
I. Jonyer, L. Holder, and D. Cook, Graph-based hierarchical conceptual clustering in struc- tural data. Proceedings of the National Conference on Artificial Intelligence, 2000.
W. Harris, D. Cook, and F. Lewis, Combining representations from manufacturing, machine planning, and manufacturing resource planning. Proceedings of the AAAI Workshop on Representational Issues for Real-World Planning Systems, 2000.
J. Gonzalez, I. Jonyer, L. Holder, and D. Cook, Efficient mining of graph-based data. Pro- ceedings of the AAAI Workshop on Learning Statistical Models from Relational Data, pages 21-28, 2000.
G. Peterson and D. Cook, Decision-theoretic planning in the Graphplan framework. Proceed- ings of the Artificial Intelligence Planning Symposium, 2000.
A. Baritchi and D. Cook, Discovering structural patterns in telecommunications data. Pro- ceedings of the Florida Artificial Intelligence Research Symposium, pages 82– 85, 2000.
J. Gonzalez, L. Holder, and D. Cook, Structural knowledge discovery used to analyze earth- quake activity. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 86–90, 2000.
M. Youngblood, L. Holder, and D. Cook, A framework for autonomous mobile robot explo- ration and mapping through the use of place-centric occupancy grids. Proceedings of the Machine Learning Workshop on Learning From Spatial Information, 2000.
C. Hannon and D. Cook, A parallel approach to unified cognitive modeling of language. Proceedings of the Thirteenth Canadian Conference on Artificial Intelligence, 2000.
C. Hannon and D. Cook, A parallel approach to modeling language learning and understand- ing in young children. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 209–213, 2000.
J. Coble and D. Cook, Real-time learning when concepts shift. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 192–196, 2000.
I. Jonyer, L. Holder, and D. Cook, Graph-based hierarchical conceptual clustering. Proceed- ings of the Florida Artificial Intelligence Research Symposium, pages 91–95, 2000.
P. Gmytrasiewicz, C.-C. Tseng, and D. Cook, Optimization of parallel search using ML and uncertain reasoning. Proceedings of the IJCAI Workshop on Statistical Machine Learning for Large-Scale Optimization, 1999.
G. Peterson and D. Cook, Decision-theoretic layered robotic control architecture. Proceedings of the National Conference on Artificial Intelligence, 1999.
D. Cook and C. Hannon, Adaptive parallel search for theorem proving. Proceedings of the Florida Artificial Intelligence Research Symposium, 1999.
W. Briggs and D. Cook, Anytime planning for optimal tradeoff between deliberative and reactive planning. Proceedings of the Florida Artificial Intelligence Research Symposium, 1999.
R. Chittimoori, L. Holder, and D. Cook, Applying the Subdue substructure discovery system to the chemical toxicity domain. Proceedings of the Florida Artificial Intelligence Research Symposium, 1999.
R. Chittimoori, L. Holder, and D. Cook, Applying the Subdue substructure discovery system to the chemical toxicity domain. Proceedings of the AAAI Spring Symposium on Predictive Toxicology of Chemicals: Experiences and Impact of AI Tools, 1999.
D. Cook and P. J. Gmytrasiewicz, Controlling the parameters of parallel search using uncer- tainty reasoning. Proceedings of the AAAI Symposium on Search Strategy under Uncertain and Incomplete Information, 1999.
J. Coble and D. Cook, Virtual environments: An agent-based approach. Proceedings of the AAAI Spring Symposium on Agents With Adjustable Autonomy, 1999.
J. Coble and D. Cook, Virtual environments: An agent-based approach. Proceedings of the AAAI Spring Symposium on Intelligent Agents in Cyberspace, 1999.
S. Su, D. Cook, and L. Holder, Application of knowledge discovery to molecular biology: Identifying structural regularities in proteins. Proceedings of the Pacific Symposium on Bio- computing, pages 190–201, 1999.
G. Peterson and D. Cook, Learning and planning in a robotic game. Proceedings of the AAAI Fall Symposium on Integrated Planning for Autonomous Agent Architectures, 1998.
W. Harris and D. Cook, Using machine planning to design manufacturing processes. Pro- ceedings of the AAAI Fall Symposium on Integrated Planning for Autonomous Agent Archi- tectures, 1998.
J. Coble and D. Cook, Fault tolerant coordination of robot teams. Proceedings of the AAAI Fall Symposium on Cognitive Robotics, 1998.
S. Whisenhunt and D. Cook, Comparison of techniques to learn agent strategies in adversarial games. Proceedings of the Machine Learning Workshop on the Methodology of Applying Machine Learning, 1998.
S. Taylor, D. Levine, K. Kavi, and D. Cook, A comparison of multithreading implementations. Yale Multithreaded Programming Workshop, 1998.
L. Holder and D. Cook, Coupling two complementary knowledge discovery systems. Proceed- ings of the Florida Artificial Intelligence Research Symposium, pages 183–187, 1998.
W. Harris and D. Cook, Integrating hierarchical and analogical planning. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 126– 130, 1998.
R. C. Varnell and D. Cook, Integrating machine learning in parallel heuristic search. Pro- ceedings of the Florida Artificial Intelligence Research Symposium, pages 240–244, 1998.
G. Peterson and D. Cook, DFA learning of opponent strategies. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 367–371, 1998.
D. Cook, G. Galal, and L. Holder, Exploiting parallelism in knowledge discovery systems to improve scalability. Proceedings of the Thirty-First Hawaii International Conference on System Sciences, 1998.
D. Cook and R. C. Varnell, Maximizing the benefits of parallel search using machine learning. Proceedings of the National Conference on Artificial Intelligence, pages 559– 564, 1997.
G. Galal, D. Cook and L. Holder, Improving scalability in a scientific discovery system by exploiting parallelism. Proceedings of the International Conference on Knowledge Discovery and Data Mining, pages 171–174, 1997.
G. Galal and D. Cook, Exploiting parallelism in a scientific discovery system to improve scal- ability. Proceedings of the Tenth Annual Florida Artificial Intelligence Research Symposium, 1997.
D. Cook, Improving the performance of planning systems using parallel hardware and flexible social laws. Proceedings of the NSF Design and Manufacturing Grantees Conference, 1997.
K. S. Tae and D. Cook, Experimental knowledge acquisition for planning. Proceedings of the Conference on Machine Learning, 1996.
W. Briggs and D. Cook, A clustering approach to resource allocation in multiagent systems. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 127–131, 1996.
R. C. Varnell, D. Cook, and L. Peterson, Optimizing the performance of parallel heuristic search. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 385–389, 1996.
K. S. Tae and D. Cook, Experimentation-driven incremental operator learning. Proceedings of the Florida Artificial Intelligence Research Symposium, pages 204– 208, 1996.
D. Cook, P. Gmytrasiewicz and L. Holder, Multi-agent cooperative sensor planning. Pro- ceedings of the Image Understanding Workshop, pages 1321–1332, 1996.
D. Cook, E. Mettala, and K. Harbison, Application of the scenario-based engineering process to the unmanned ground vehicle project. Proceedings of the Image Understanding Workshop, pages 627–641, 1996.
D. Cook, Scaling up planning systems using parallel hardware and machine learning. Pro- ceedings of the NSF Design and Manufacturing Grantees Conference, 1996.
K. S. Tae and D. Cook, Knowledge acquisition for planning with incomplete information. Proceedings of the AAAI Spring Symposium on Planning with Incomplete Information for Robot Problems, 1996.
W. Briggs and D. Cook, Flexible social laws. Proceedings of the International Joint Confer- ence on Artificial Intelligence, pages 688–693, 1995.
S. Djoko, D. Cook, and L. Holder, Analyzing the benefits of domain knowledge in substructure discovery. Proceedings of The First International Conference on Knowledge Discovery and Data Mining, pages 75–80, 1995.
J. Baumgartner, D. Cook, and B. Shirazi, Genetic solutions to the load balancing problem. Proceedings of the International Conference on Parallel Processing, 1995.
S. Nerur and D. Cook, Maximizing the speedup of parallel search using HyPS. Proceedings of the Third International Workshop on Parallel Processing for Artificial Intelligence, pages 40–51, 1995.
L. Holder, D. Cook, and S. Djoko, Substructure discovery in the Subdue system. Proceedings of the AAAI Workshop on Knowledge Discovery in Databases, pages 169–180, 1994.
D. Cook, Reconfiguration of multi-agent planning systems. Proceedings of the 1994 Confer- ence on AI Planning Systems, pages 225–230, 1994.
J. Baumgartner and D. Cook, A genetic algorithm for load balancing in parallel computers. Proceedings of the Seventh International Conference on Industrial and Engineering Applica- tions of Artificial Intelligence and Expert Systems, pages 619–627, 1994.
S. Nerur and D. Cook, A hybrid parallel-window / distributed tree algorithm for improving the performance of search-related tasks. Proceedings of the Seventh International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, pages 629–637, 1994.
J. Baumgartner and D. Cook, A genetic-based solution to load balancing in parallel comput- ers. Proceedings of the 1994 ACM Computer Science Conference, 1994.
D. Cook and L. Holder, Sensor planning and coordination in multi-agent systems. Proceedings of the Image Understanding Workshop, 1994.
M. Kidwell and D. Cook, A genetic algorithm for dynamic task scheduling. Proceedings of the International Phoenix Conference on Computers and Communication, 1993.
D. Cook, L. O. Hall, L. Stark and K. W. Bowyer, Learning combination of evidence functions in object recognition, Proceedings of the AAAI Symposium on Machine Learning in Computer Vision, pages 139–143, 1993.
L. O. Hall, D. Cook, L. Stark and K. W. Bowyer, Fuzzy set learning in functional object recognition. Proceedings of NAFIPS, 1993.
D. Cook, L. O. Hall, L. Stark and K. W. Bowyer, Learning and combining fuzzy values for object recognition. Proceedings of the IJCAI Workshop on Fuzzy Logic in AI, pages 51–61, 1993.
D. Cook, Using analytic and genetic methods to learn plans for mobile robots. Proceedings of the Conference on Applications of Artificial Intelligence XI: Machine Vision and Robotics, pages 327–336, 1993.
D. Cook, Fast information distribution for massively parallel IDA* search. AAAI Spring Symposium on Innovative Applications of Massive Parallelism in AI, pages 48–53, 1993.
L. Holder, D. Cook, and H. Bunke, Fuzzy substructure discovery. Ninth International Machine Learning Conference, Aberdeen, Scotland, pages 218–223, 1992.
D. Cook, Adding intelligence to robot arm path planning using a graph-match analogical reasoning system. International Conference on Intelligent Robots and Systems, pages 657– 662, 1992.
D. Cook, A graph match technique for incremental reuse of robot arm motion plans. Pro- ceedings of the AAAI Spring Symposium, Stanford, CA, pages 1–6, 1992.
G. Lyons and D. Cook, A SIMD approach to IDA* search. Proceedings of the Conference on Applications of Artificial Intelligence X, Orlando, FL, pages 126– 136, 1992.
I. Tello and D. Cook, Parallel heuristic search and potential field methods for robot path planning. Proceedings of Florida Artificial Intelligence Research Symposium, Cocoa Beach, FL, pages 63–67, 1992.
D. Cook, The base selection task in analogical planning. Proceedings of the International Joint Conference on Artificial Intelligence, Sydney, Australia, pages 790–795, 1991.
L. Hall, D. Cook, and W. Thomas, Window parallel transformation- ordering iterative- deepening A* search. Proceedings of The First International Workshop on Parallel Processing for Arti- ficial Intelligence, Sydney, Australia, 1991.
D. Cook, Forming analogical plans for robot arm path planning. Proceedings of the 1991 International Conference on Intelligent Teleoperation, Greensboro, NC, 1991.
L. Hall, D. Cook, and W. Thomas, Transformation ordering iterative deepening A* search. Proceedings of The Sixth International Symposium on Methodologies for Intelligent Systems, Charlotte, NC, pages 65–72, 1991.
D. Cook and L. Holder, Accelerated learning on the connection machine. Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing, Dallas, TX, pages 448–454, 1990.
D. Cook, Analogical planning. Proceedings of the DARPA Workshop on Innovative Ap- proaches to Planning, Scheduling and Control, San Diego, CA, pages 22–27, 1990.
D. Cook, Exploring the limits of analogical planning. Proceedings of the Workshop on Compu- tational Learning Theory and ’Natural’ Learning Systems Constraints and Prospects, Boston, MA, 1990.
D. Cook, Complexity issues in applying analogy to engineering design. Proceedings of the Third International Conference on Industrial and Engineering Applications, Charleston, SC, pages 914–922, 1990.
D. Cook, Learning by analogy on the connection machine. Proceedings of the Florida Artificial Intelligence Research Symposium, Cocoa Beach, FL, pages 28– 32, 1990.
D. Cook, Application of analogical planning to engineering design. Proceedings of the Sixth IEEE Conference on Artificial Intelligence Applications, Santa Barbara, CA, pages 244–249, 1990.
D. Cook, ORPHEUS: A music notation program, Proceedings of the 1987 International Com- puter Music Conference, pages 302–310, 1987.
Patents Issued
D. J. Cook and P. Rashidi. Systems and methods for adaptive smart environment automation.
U.S. Patent 8,417,481, filed September 2, 2009, issued March 9, 2013.
Students
Joey Baumgartner (MS, 12/93): “Genetic solutions to load balancing in parallel computers” Thesis was nominated by UTA for national “Outstanding Thesis Award”.
Shubha Nerur (MS, 4/94): “A hybrid parallel-window / distributed-tree algorithm for im- proving the performance of planning and search-related tasks”
AAAI student paper, 1994.
Kishore Durg (MS, 7/94): “A decision-theoretic model for optimizing the dynamic tradeoff between communication and failure recovery in multi-agent planning systems”
Tom Lai (MS, 7/94): “A branch-and-bound graph isomorphism algorithm with application to CAD circuit discovery”
Viralkumar Bharatia (MS, 12/94): “Design and analysis of multiagent coordination models” Recipient of UTA/CSE best master’s thesis award, 1995
• Tim Roden (MS, 5/95): “A reactive model for multi-agent coordination”
• Vikram Jariwala (MS, 7/95): “Exploring WWW & graphics tools for organization publicity on the Internet”
Szu-Ling Chuang (MS, 8/95): “Robot motion planning design and implementation”
Andy Winger(MS, 10/95):“Anempiricalevaluation ofplanreusein STRIPS/ PLANEX”
Gehad Galal (MS, 5/97): “Design and comparison of parallel and distributed techniques for graph-based knowledge discovery”
Sudheer Maremanda (MS, 4/99): “A graph visualization tool for data mining”
Michael Finch (MS, 5/99): “Multiagent decision-theoretic map generation and maintenance”
Avinash Kumar (MS, 8/99): “Simulation and analysis of frequency allocation algorithms for wireless communication networks”
Ravi Althuru (MS, 12/99): “Design of a Java/Corba wireless communication network simu- lator”
Praveenrao Kalmadi (MS, 8/00): “An adaptive approach to schedule requests for an on-line robot lab”
Pratima Rao (MS, 12/99): “Design of a wireless robot communication network”
Andi Baritchi (MS, 12/99): “Discovering interesting substructures in telecommunications data”
Devaki Chandramouli (MS, 5/00): “Handshaking algorithms for a wireless robot communi- cation network”
Sona Srinivasan (MS, 5/00): “A CORBA based environment for distributed database access”
Veena Raja (MS, 5/00): “Development of interestingness criteria for temporal pattern dis- covery”
Trivikram Bhat (MS, 8/00): “Data mining of program source code”
Sriram Subramanian (MS, 5/00): “Data mining in nonuniform distributed databases”
Nitish Manocha (MS, 6/00): “Mining the Web link structure using a graph-based discovery system”
Recipient of UTA/CSE Outstanding Master’s Thesis Award, 2001
Recipient of UTA University Scholar Award, 2001
Pushpalatha Sreenath (MS, 8/00): “A JAVA-based animation of a substructure discovery algorithm”
Jyothsna Nayak (MS, 8/00): “Association rule mining in the presence of incomplete and imprecise data”
Aravind Ginjupalli (MS, 8/00): “A web search engine assistant tool”
Manish Mehta (MS, 5/00): “Applying reinforcement learning with function approximation techniques to robot soccer”
Mohammad Islam (MS, 12/00): “Learning hierarchical robot soccer playing strategies”
Kevin Gee (MS, 5/01): “Extending LSA and NBC text mining algorithm using bigrams and parts of speech”
Ashwini Kuntamukkala (MS, 11/01) “Development of the WISE simulator environment”
Jessica Lin (MS 8/02): “Utility reasoning for a smart home operating as a rational agent”
Priyath Sandanayake (MS, 8/02): “Learning HMMs for the Wumpus World environment”
Sira Rao (MS, 5/03): “Predicting user actions in a smart home”
Ritesh Mehta (MS, 7/03) “Graph-based identification of inhabitants in a smart environment”
Sriram Rajappa (MS, 7/03) “Interactive biasing in graph-based data mining”
Phanindra Powmpati (MS, 7/03) “Integrating ontologies into a graph-based data mining system”
Runu Rathi (MS, 7/04): “Serial partitioning for a graph-based data mining system”
Gaurav Jain (MS, 12/05): “Monitoring health by detecting drifts and outliers in patterns of an inhabitant in a smart home”
Robert Hawes (MS, 12/05): “Probabilistic graph-based relational learning”
Srilatha Inavolu (MS, 5/06): “Stochastic approaches to scaling discovery in graph data”
Geetika Singla (MS, 5/09): “Recognizing ADL initiation and completion in a smart home”
Jim Kusznir (MS, 1/09): “CLM as a smart home middleware”
Yasamin Sahaf (MS, 8/11): “Comparing sensor modalities for activity recognition”
Raghavendran Srinivasan (MS, 9/11): “Learning relationships between detected activities, sleep patterns, and physiological data”
Gilbert Peterson (MS, 3/98; PhD, 8/01): “Learning opponent strategies in a multiagent competitive environment” (MS)
“Decision-theoretic robot plan generation and execution” (PhD)
Recipient of UTA/CSE Outstanding PhD Research award, 2001
Vikramaditya Jakkula (MS, 12/07; PhD expected, 5/13): “Using temporal relations to en- hance anomaly detection and event prediction” (MS) “Recognizing critical conditions from environment sensor event mining” (PhD)
Surnjani Djoko (PhD, 8/95): “Evaluating the role of domain knowledge in substructure discovery”
AAAI student paper, 1994
Recipient of UTA/CSE Best PhD Thesis Award, 1996
William Briggs (PhD, 8/96): “Modularity and communication in multiagent planning”
Kang Soo Tae (PhD, 5/97): “Experimentation-driven learning of planning operators” AAAI student paper, 1996
Craig Varnell (PhD, 8/97): “An architecture for improving the performance of parallel search”
Billy Harris (MS, 5/95; PhD, 5/02): “Hierarchical Analogical Planning” (MS) “Improving the Efficiency and Applicability of Planning” (PhD)
Darin Brezeale (MS, 8/99; PhD, 12/07): “Design of an intelligent agent to support web-based stock market investment” (MS)
“Learning video preferences using closed caption and video features” (PhD)
Joe Potts (MS, 2/97; PhD, 5/06): “Parallel knowledge discovery techniques” (MS) “A probabilistic approach to graph-based data mining” (PhD)
Charles Hannon (PhD, 8/00): “Modeling language learning in children”
Jeff Coble (PhD, 8/05): “Relational discovery in sequentially-connected data streams: Effi- cient algorithms for lossless pattern discovery and change detection”
Ed Heierman (PhD, 11/04): “Using information-theoretic principles to discover interesting episodes in a time-ordered sequence”
Michael Youngblood (PhD, 8/05) “Creation of a dynamic agent hierarchy for intelligent en- vironments”
Parisa Rashidi (MS, 12/07; PhD 2/11): “Incorporating user feedback into a smart home automationmodel”(MS)
“Scaling Activity Discovery Recognition to Large, Complex Datasets” (PhD) Recipient of WSU/EECS Outstanding Graduate Student Award, 2011
Aaron Crandall (PhD, 2/11): “Behaviometrics for multiple residents in a smart environment”
Chao Chen (PhD, 4/13): “Investigating the human behavior side of building energy efficiency”
Prafulla Dawadi (PhD expected 5/14): “Tracking and prompting missing steps in daily ac- tivities”
Brian Thomas (PhD expected 5/14): “Automation of electrical devices to support learning- based energy efficiency”
Barnan Das (PhD expected 5/14): “Automated functional assessment using machine learning technologies”
Ehsan Nazerfard (PhD expected 5/14): “Timing and packaging effective cues in smart envi- ronments”
Jennifer Williams (PhD expected 5/14): “Trend detection in functional health for older adults”
Kyle Feuz (PhD expected 5/14): “Learning home control patterns using sequence analysis”
Salikh Bagaveyev (PhD expected 5/14): “Active learning for crowd sourcing”
Chris Cain (PhD expected 5/16): “Studying the effects of automated economic incentives for energy-efficient home automation”
External dissertation committee member for students from University of South Florida, Ari- zona State University, Yale University, Massey University
Also supervised twelve undergraduate projects: one of these students (Brijesh Bhatia) won a UTA CSE award (1997) and a Sigma Xi outstanding undergraduate research project award (1997), another of these students (Shar Whisenhunt) won a McNair scholarship (1997, 1998), a CSE undergraduate scholarship(1998), andan American Minority Programscholarship(1997, 1998). Her project also won a Sigma Xi outstanding undergraduate research project award (1998), a SURCA Engineering award (1998), and a McNair outstanding presentation award (1998). Undergraduate Scott Taylor published two conference papers on his research project. Undergraduate Courtney Pace published one conference paper on her research project and won first prize in the statewide paper competition for the Louis Stokes Alliance for Minority Participation (LSAMP) Program (2002).
Professional Societies and Activities
Editor In Chief:
IEEE Transactions on Systems, Man, and Cybernetics, 2005 – 2009
Associate Editor:
ACM Transactions on Knowledge Discovery from Data, 2012 – present
ACM Transactions on Intelligent Systems and Technology, 2012 – present
IEEE Transactions on Systems, Man, and Cybernetics, 1999 – 2004
IEEE Transactions on Knowledge and Data Engineering, 2006 – 2010
Knowledge and Information Systems, 2011 – present
Ambient Intelligence and Humanized Computing, 2009 – present
Editorial Board:
International Journal of Social Network Mining,
2010 Journal of Artificial Intelligence Research, 2006
present Journal of Pervasive and Mobile Computing, 2007 – present
ICST Transactions on Future Intelligent Educational Environments, 2012
– present ICST Transactions on Ubiquitous Environments, 2008 – present
IOS Press book series on Ambient Intelligence and Smart Environments, 2008 – present
Intern. Journal of Computer Vision and Signal Processing, 2011 – present
Intern. Journal of Information Technology, Communications and Convergence, 2009 – present
Journal of Intelligent Information Systems, 2010 – present
Advisory Board:
Ambient Intelligence and Smart Environments, 2007 – present
International Conferenceof Hybrid Intelligent Systems, 2011
International Journal of Intelligent Computing and Cybernetics, 2007 – present
International Journal of Smart Home, 2007 – present
International Conference on Intelligent Systems Design and Applications, 2008
International Conference of Soft Computing and Pattern Recognition, 2009
International Journal of Life Sciences and Technology, 2008 – present
International Workshop on U-Healthcare Technologies and Services, 2010
Machine Intelligence Research Labs, 2010 – present
Nature and Biologically Inspired Computing, 2008 – present
International Conference on Personal Health (pHealth), 2011
VM BioSciences Journal, 2007 – present
IEEE Conference on Cybernetics and Intelligent Systems, 2007 – present
IEEE SMC Technical Committee on Cognitive Computing, 2008 – present
Research Unit of Fondazione Cariplo
General Chair:
International Conference on Data Mining, 2013
AAAI Fall Symposium on AI for Gerontechnology, 2012
IEEE International Conference on Pervasive Computing and Communications, 2011
NSF Workshop on Pervasive Computing at Scale (with Andrew Campbell and Roy Want), 2011
International Conference on Intelligent Environments, 2008
Florida Artificial Intelligence Research Symposium, 2005
North Texas Natural Language Processing Workshop (with Dan Moldovan), 1994
Program Chair:
International Conference on Data Mining, 2011
Special Session on Intelligent Knowledge-Based and Agent-Based Systems at the International Conference on Intelligence Environments, 2009
Workshop on Artificial Intelligence Techniques for Ambient Intelligence, 2009- 2013
Special Track on Intelligent Environments at the Pervasive Computing Conference, 2003
Special Track on AI and Education at FLAIRS, 2003
National Science Foundation Information and Data Management Workshop (with S. Chakravarthy), 2001
Machine Learning Workshop on Learning From Spatial Information, 2000
Florida Artificial Intelligence Research Symposium, 1998
International Conferenceon Data Mining, 2009, 2010
IEEE International Conference on Tools with Artificial Intelligence
Publication Co-Chair:
International Conference on Ubiquitous Computing, 2009
Industry and Professional Society Liaison:
IET/IEEE International Conference on Intelligent Environments, 2009-2010
Workshop Co-Chair:
IEEE PerCom Workshop on Smart Environments, 2010
International Conference on Intelligent Environments, 2009-2010
Area Chair:
International Conference on Tools with AI, 2009
Track Chair:
ACM Conference on Information and Knowledge Management (CIKM), 2010
Poster Co-Chair:
SIGKDDInternational Conferenceon Knowledge Discovery and Data Mining (KDD), 2010
Guest Editor:
Journal of Pervasive and Mobile Computing, special issue on Pervasive Health, 2012 (with Franca Delmastro, Marge Skubic, and Paul Lukowitz)
ACM Transactions on Intelligent Systems and Technology, special issue on intelligent systems for socially aware computing, 2012 (with Zhiwen Yu, Daqing Zhang, and Nathan Eagle) Journal of Pervasive and Mobile Computing, special issue on Knowledge-Driven Activity Recognition in Intelligent Environments, 2010 (with Liming Chen, Chris Nugent, and Zhiwen Yu)
Journal of Pervasive and Mobile Computing, fast track issue on Intelligent Environments, 2009
Journal of Ambient Intelligence and Smart Environments, special issue on Body Area Networks and Ambient Intelligence, 2008 (with WenZhan Song)
Journal of Pervasive and Mobile Computing, special issue on Design and Use of Smart Environments, 2007
International Journal of Pattern Recognition and Artificial Intelligence, special issue on selected papers from the FLAIRS conference, 2005
IEEE Pervasive Computing, special issue on selected papers from the Pervasive Computing Conference, 2004
International Journal of Pattern Recognition and Artificial Intelligence, special issue on selected papers from the FLAIRS conference, 1998
IEEE Wireless Communications, special issue on Smart Homes, 2001 (with Sajal K. Das)
Tutorial:
IJCAI Tutorial on Ambient Intelligence (with J. Augusto), 2007
AAAI Tutorial on Ambient Intelligence (with J. Augusto and H. Guesgen), 2008
Panelist:
NIH, 2011, 2012
NSF IIS Large Program, 2008
NSF EIC Program, 2009
NSF ERC Program, 2007, 2010
NSF CAREER Program, 2007
NSF ITR Program, 2002
NSF Division of Information and Intelligent Systems, 2003
NSF Division of Information, Robotics, and Intelligent Systems, 1994-1999, 2001-2003
NSF Division of Cross-Disciplinary Activities, 1996
NSF Site Visit Panelist, 1996
National Research Council Research Council of Norway
Scientific Committee:
International Conference on Smart Homes and Health Telematics (ICOST)
Program Committee:
AAMAS Workshop on Human Aspects in Ambient Intelligence, 2008-2013
ACM Symposium on Applied Computing, 1993
Artificial Intelligence in Design Conference Series, 1992
Canadian Conference on Artificial Intelligence, 2004
CODATA International Workshop on Motion and Vital Data Acquisition, Storage and Trends for Aging Pop Cognitive Collaborative Appliances Workshop, 2008
Conference on Applications for Artificial Intelligence, 1991
Conference on Systems, Cybernetics and Informatics, 2001
ECML/PKDD Workshop on Graph, Tree, and Sequence Mining and Learning, 2004
EvAAL Activity Recognition Competition, 2012
Florida Artificial Intelligence Research Symposium, 1991, 1999-2013
FLAIRS Special Track on Data Mining, 2007-2013
FLAIRS Special Track on Parallel and Distributed Reasoning, 1999
FLAIRS Special Track on Knowledge Discovery and Data Mining, 2001
FLAIRS Special Track on Machine Learning, 2001-2002, 2004-2007
FLAIRS Special Track on AI and Education, 2004
FLAIRS Special Track on Machine Learning for Planning, 2004
HTL-NAACL Workshop on Graph-Based Algorithms for Natural Language Processing, (TextGraphs), 2006
IEEE Symposium on Intelligent Agents, 2009
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2005, 2006, 200 KDD Workshop on AnomalyDetection, 2005
KDD Workshop on Link Discovery and Group Detection, 2005-2006 KDD
Workshop on Mining and Learning with Graphs, 2010-2011 KDD
Workshop on Multi-relational Data Mining, 2002-2005
IAPR Workshop on Graph-based Representations in Pattern Recognition, 2010-2011
Iberoamerican Workshop on Machine Learning for Scientific Data Analysis, 2004
IEEE Emerging Technologies Conference, 2006
IEEE International Conference on Cyber, Physical and Social Computing, 2011
IEEE International Conference on Pervasive Computing and Communication (PerCom), 2004-2010, 2012
IEEE International Conference on Pervasive Intelligence and Computing, 2010
IEEE International Symposium on Intelligent Agents, 2008, 2010
IEEE International Workshop on Sensor Networks and Systems for Pervasive Computing, 2008-2013
IEEE PerCom Workshop on Smart Environments(SmartE), 2011
IEEE PerCom Workshop on Pervasive Healthcare, 2010
IEEE World Congress on Computational Intelligence, 2012
IEEE Workshop on Managing Ubiquitous Communications and Services, 2013
IEEE WoWMom Workshop on Interdisciplinary Research on E- Health Services and Systems, 2010
International Conference on Agents and Artificial Intelligence, 2008-2013
International Conference on Advanced Data Mining and Applications, 2011-2012
International Conference on Advances in Social Networks Analysis and Mining, 2010-2013
International Conference on Health Informatics, 2013
International Conference on Machine Learning (ICML), 2003-2006
International Conference on Machine Learning and Applications, 2011
International Conference on Multimedia and Ubiquitous Engineering, 2007-2008
International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2011
International Conference on Pervasive and Embedded Computing and Communication Systems, 2011-2014
International Conference on Smart Systems, Devices and Technologies, 2012-2013
International Conference on Ubiquitous Computing and Ambient Intelligence, 2012-2013
International Symposium on Ambient Intelligence, 2012
International Symposium on Ubiquitous Applications and Security Services, 2009
International Symposium on Ubiquitous Computing Systems, 2007-2009
International Workshop on Knowledge Discovery from Sensor Data, 2009-2011
International Workshop on Mining and Learning with Graphs, 2007
International Workshop on Situation, Activity and Goal Awareness, 2011- 2012
Innovative Applications of Artificial Intelligence Conference (IAAI), 2003-2007
International Conference on Pervasive Technologies for Assistive Living, 2007
International Conference on Physiological Computing Systems, 2014
IEEE International Conference on Tools with Artificial Intelligence, 2001, 2003
International Conference on Smart Homes and Health Telematics (ICOST), 2003-2013
International Conference on Systems, Man and Cybernetics, 2003- 2007
International Conference on Data Mining (ICDM), 2003, 2005, 2012
ICDM Workshop on Multi-Agent Data Warehousing and Multi-Agent Data Mining, 2005
First International Workshop on Mobile Distributed Computing, 2003
International Joint Conference on Artificial Intelligence (IJCAI), 2006, 2011
IJCAI Workshop on Artificial Intelligence Techniques for Ambient Intelligence, 2006
International Joint Conference on Autonomous Agents & Multi-Agent Systems, 2002
International Workshop on Bioinformatics in Data Mining (BIOKDD), 2001
International Conference on Intelligent Systems, 2001
International Conference on Discovery Science, 2001-2002
International Conference on Intelligent Systems for Molecular Biology, 1998-2000
International Symposium in Ambient Intelligence, 2011
KDD Workshop on Mining and Learning with Graphs, 2011
Mexican International Conference on Artificial Intelligence, 2010
Pacific Symposium on Biocomputing, 1999-2000
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2007-2013
Pervasive 2012 Workshop on Recent Advances in Behavior Prediction and Pro-Active Pervasive Computing, 2012
Data Mining and Knowledge Discovery Decision Support Systems
Journal Fundamenta Informaticae
GRE Computer Science Example, Writer and Reviewer, 2006
IEEE Computer
IEEE Computer Society Press
IEEE Concurrency
IEEE Fellow Evaluator, 2011 – 2012
IEEE Intelligent Systems
IEEE Parallel and Distributed Technology: Systems and Applications
IEEE Transactions on Automation Science and Engineering
IEEE Transactions on Computers
IEEE Transactions on Information Technology in BioMedicine
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Sensor Networks
IEEE Transactions on Systems, Man and Cybernetics Information Processing Letters Information Systems
International Conference on Artificial Intelligence in Design International Conference on Industrial and Engineering Applications of AI and Expert Systems International Joint Conference on Neural Networks (2000)
International Journal of Expert Systems: Research and Applications
International Journal of Computer Aided Engineering and Technology
International Journal of Pattern Recognition and Artificial Intelligence
Journal of the American Society of Information Systems
Journal of Parallel and Distributed Computing Journal of Pervasive and Mobile Computing
Knowledge and Information Systems Journal Machine Learning Journal
McGraw-Hill
Prentice Hall
National Institutes of Health / Robotics Technology Development and Deployment, 2011
Natural Sciences and Engineering Research Council of Canada (NSERC), 1998, 2006
Neurocomputing, 2011
NSF CISE, 2010
NSF Division of Microelectronic Information Processing Systems, 1994
NSF Biomedical Program (external reviewer), 2005
NSF CREST Program (external reviewer), 2004
NSF Large Scientific and Software Data Set Visualization Program (external reviewer), 1999
NSF NetSE Program, 2010
NSF US-Egypt Joint Research Program (external reviewer), 2005
NSF US-India Program for Exploratory Experiences for Researchers and Students (PEERS), 2008
Pattern Recognition, 2006
Transactions on Information Technology in BioMedicine
Member:
American Association for Artificial Intelligence (AAAI)
Fellow, Institute of Electrical and Electronics Engineers (IEEE)
Fellow, Future Technology Research Association International (FTRA) Phi Beta Delta
IEEE Systems, Man, and Cybernetics Society Board of Governors, 2004-2006
IEEE Task Force on Intelligent Agents, 2007
IEEE Task Force on Emergent Technologies, 2011-2012
Member, Alzheimer’s Association Work Group on Technology, 2006
Sigma Xi (Admissions Coordinator for UTA Chapter of Sigma Xi, 1998 – 2000) Chapter won a National Chapter Certificate of Excellence, 1998
Faculty Member, Center for Research in Wireless Mobility and Networking (CReWMaN), 2000-2006
Faculty Advisor for Honor’s Program in Parallel Processing, 1995 – 2000
Invited Talks:
Consumer Communications and Networking Conference, 2012 UW/WSU Board of Regents, 2011
International Conference on Smart Homes and Health Telematics, 2011
Innovation in the Age of Reform, Swedish 100th Anniversary Symposium, 2010 Orcatech, 2009
Pullman Chapter of Kiwanis, 2009 University of Idaho, 2008
International Conference on Supportive Technology and Design for Healthy Aging, keynote speaker, 2008
WSU Vancouver Chancellor’s Seminar Series, 2008
The Innovators, 2008
International Conference on Body Area Networks, keynote speaker, 2008
TSPE, 2006
Mid-Cities Technical Club, 2005
University of North Texas, 2004
Arlington Rotary Club, 2004
Southern Methodist University, 2003
First International Workshop on Distributed Computing with Agent Technologies, 2002
Dallas Group for Ergonomics and Human Factors, 2002
Seminar on Intelligent Environments at the meeting of the Texas Society of Professional Engineers, 2002
National Institute of Standards and Technologies, Gaithersburg, Maryland, 2001
International Business Machines Watson Research Center, Yorktown, New York, 2001
University of Texas at Dallas, Dallas, Texas, 2001
International Business Machines, New York City, New York, 2000
SABRE Corporation, Dallas, Texas, 2000
International Symposiumon Computer Science, Torreon, Coahuila, Mexico, 1997
IPPS, 1995 (with B. Shirazi and J. Baumgartner)
IEEE Robotics and Automation Conference, Workshop on Ideal Factory of the Future, 1994
Workshop on Distributed Computing and Agent Technologies, 2002
Metrocon ’02
Metrocon ’96
Metrocon ’95
MIND Workshop, 1993
NTAAI Workshop, 1992
Faculty Advisor:
Society of Women Engineers (1993 – 2001)
Undergraduate Honors Program in Parallel Processing (1995 – present)
Autonomous Vehicles Systems Team (1995 – 2000)
Society of Professional Hispanic Engineers (1993 – 1997)
Kung Fu Club (1995 – 1997)
Support
Smart environment technology for longitudinal behavior analysis and intervention, (PI), National Institutes of Health, $1,566,691, 09/30/12 – 09/29/16.
Design of a smart community, (PI), Cisco, $15,000, 06/01/12 – 12/31/12.
CASAS-Care: Pilot Study of a Smart Home in a Box, (PI), Life Sciences Discovery Fund, $149,312, 01/01/12 – 12/31/12.
SHB: Medium: Collaborative Research: Crafting a Human-Centric Environment to Support Human Health Needs (PI, with M. Di Francesco, University of Texas at Arlington), NSF, $1,050,426, 07/01/11 – 06/30/15.
Research Experiences for Undergraduates in Smart Environments (PI, with B. Shirazi), NSF REU Program, $326,770, 5/1/10 – 4/30/14.
Discovering, Visualizing, and Tracking Patterns in Sensor Streams (PI), Bosch, $100,000, 8/1/10 – 07/31/11.
IGERT: Integrative Training in Health-Assistive Smart Environments (PI, with L. Holder, B. Shirazi, M. Schmitter-Edgecombe, and S. Jayaraman), NSF, $2,999,928, 7/1/09 – 6/30/14.
Smart Environment Technologies for Health Monitoring and Intervention (PI, with M. Schmitter- Edgecombe), NIH, $1,276,965, 3/1/10 – 2/28/14.
Activity-Aware Sensor Network for Smart Environments (PI, with W. Song), NSF, $300,000, 10/1/09 – 9/30/12.
II-EN: Smart Environment Infrastructure for Resident and Environment Modeling (PI), NSF, $300,000, 6/1/09 – 5/31/12.
Learning Activity Profiles for Smart Environment Residents for Functional Health Monitoring and Intervention (PI), Bosch, $75,000, 1/15/09 – 5/31/10.
Smart home-based health platform for functional monitoring and intervention (PI, with M. Schmitter- Edgecombe), Life Sciences Discovery Fund, $790,906, 1/1/09 – 12/31/12.
Predicting Intent from Real-World Datasets, (co-PI, with S. Thompson), DOE, $40,000, 4/1/08 – 3/31/09.
Smart Home-based Health Platform for Behavioral Monitoring and Alteration for Diabetic and Obese Individuals (PI), NIH/University of Florida, $267,000, 11/1/07 – 10/30/11.
Subdueing RHSEG, (co-PI, with J. Tilton), NASA, $100,000, 10/15/07 – 10/14/08. Research Experiences for Underrepresented Undergraduates in Smart Environments (co-PI, with B. Shirazi), NSF REU Program, $277,768, 3/15/07 – 3/14/10.
SEI: Graph Based Mining of Public Health Data (PI, with L. Holder and K. Singh, NSF, $481,971, 8/1/05 – 7/31/08.
Graph-Based Structural Pattern Learning (co-PI, with L. Holder), Naval Research Lab, 1/1/05 12/31/05, $118,000.
Application of Graph-Based Pattern Learning to Financial Transaction Data, Booz-Allen-Hamilton (co-PI, with L. Holder), $30,000, 9/1/04-8/31/05.
Graph-Based Structural Pattern Learning (co-PI, with L. Holder), U.S. Air Force EAGLE Program, $220,000, 1/1/04 – 12/31/05.
ITR Collaborative Research: Pervasively Secure Infrastructures (PSI): Integrating Smart Sensing, Data Mining, Pervasive Networking, and Community Computing (co-PI, with S. K. Das, K. Basu, L. Holder, M. Kumar, F. Lewis, and B. Shirazi), NSF, $1,000,000, 1/1/04 – 12/31/09.
Connect: A Personal Remote Messaging and Monitoring Infrastructure for Persons with Disabilities (co-PI, with F. Kamangar, S. K. Das, M. Huber, M. Kumar, D. Levine, D. Schoech, B. Shirazi, J. Smith, K. Varghese, and G. Zaruba), Texas Health and Human Services Commission, $2,000,000, 9/1/03 – 8/31/05.
Research Experiences for Undergraduates in Distributed Rational Agents (co-PI, with M. Huber and B. Shirazi), NSF REU Program, $191,000, 1/1/02 – 12/31/04.
An Active, Collaborative Learning Program in Smart Home Technologies (co-PI, with M. Huber, L. Burnell, C. Hannon, and J. Priest), NSF CISE Research Infrastructure Program, $324,000, 5/1/02 – 4/30/05.
MavHome: An Intelligent Home Environment, (PI, with S. Chakravarthy, S. K. Das, L. Holder, M. Huber, F. Kamangar, and R. Yerraballi), NSF ITR Program, $1,159,959, 9/1/01 – 8/31/04.
Graph-Based Data Mining, (PI, with L. Holder and S. Chakravarthy), NSF, $442,487, 9/1/01 – 8/31/04.
REU supplement, $10,000, 1/1/02 – 12/31/02.
Instrumentation for Intelligent Agent and Wireless Computing Research, (PI, with L. Holder, S. K. Das, M. Huber, and R. Yerraballi), NSF Major Research Instrumentation Program, $426,284, 9/1/01 – 8/31/04.
Graph-Based Structural Pattern Learning (co-PI, with L. Holder), DARPA, $375,000, 9/1/01 – 12/31/03.
NASA Graduate Student Funding (PI, with J. Potts), $48,000, 9/1/01 – 8/31/03.
Integrating Intelligent Agent and Wireless Computing Research into the Undergraduate Curricu- lum, (PI, with L. Holder, F. Kamangar, S. K. Das, and R. Yerraballi), NSF Educational Innovation, $329,915, 1/1/01 – 12/31/03.
Remote Site Monitoring, Measurement, and Control (PI, with L. Holder, F. Kamangar, S. K. Das, and R. Yerraballi), ARRI, $20,000, 5/1/00 – 8/15/00.
Research Experiences for Undergraduates in Tools for Concurrent Programming (co-PI, with B. Shirazi), NSF, $126,000, 6/1/99 – 5/30/02.
Scalable Knowledge Discovery (PI, with L. Holder), Texas ATP, $108,346, 1/1/98 – 12/31/99.
Equipment for Next Generation Supervisory and Real-Time Controller for Reconfigurable Manu-facturing Workcells (co-PI, with F. Lewis), NSF, $110,091, 9/1/97 – 8/31/00.
Scalable Knowledge Discovery from Large Structural Databases (co-PI, with L. Holder), NSF, $304,323, 2/15/97 – 2/14/00.
Design of a Distributed Computing Environment Using PowerPC Microkernel (PI, with B. Shirazi and K. Kavi), NSF, $62,000, 3/1/96 – 2/28/99.
A Microkernel-Based Operating Systems Laboratory (PI, with K. Kavi, B. Shirazi, D. Umbaugh, and D. Levine), NSF, $81,500, 8/1/95 – 7/31/98.
Scaling Up Planning Systems Using Parallel Hardware and Machine Learning NSF Career Development Award, $135,000, 6/1/95 – 6/31/98.
REU supplement, $12,375, 9/1/97 – 7/31/98.
Equipment Development for High-Performance Robotic Intelligent Material Handling in Unstruc- tured Environments (co-PI, with F. Lewis and K. Liu) NSF, $210,784, 10/1/94 – 9/30/99.
Problem Solving Strategies for Knowledge-Based Engineering applied to Generative N/C Program- ming (co-PI, with L. Holder) Texas Instruments, $13,250, 8/16/94 – 1/15/95.
Graduate Research Traineeships in Robotics / Intelligent Control (co- PI, with F. Lewis) NSF, Graduate Research Traineeships, $558,000, 9/1/94 – 8/31/99.
Parallel Knowledge Discovery from Large Complex Databases (PI, with L. Holder) NASA, CESDIS HPCC program, $147,000, 7/1/93 – 6/30/96.
Parallel Artificial Intelligence Techniques Applied to Robot Planning NSF, Research Initiation Award, $99,926, 6/1/93 – 5/31/96.
Planning and Control of Reconfiguration in Multiagent Systems (co-PI, with K. Harbison- Briggs) ARPA, $750,000, 4/22/93 – 6/30/96.
Development of Parallel Heuristic Search and Planning Techniques, National Center for Super- computing Applications, Connection Machine 2 and Connection Machine 5 usage, 4/21/93 – 4/20/95.
Development of Parallel Heuristic Search and Planning Techniques, NAS / NASA Ames, Intel iPSC/860 and Intel Paragon usage, 6/1/94 – 5/30/95.
Analysis and Design Methodologies for Autonomous Vehicles (co-PI, with K. Harbison- Briggs, S. Hufnagel, and B. Hammons) Hughes Research Laboratory, $128,000, 4/15/93 – 9/30/93.
Parallel Algorithms for Machine Learning Methods Applied to Robot Path Planning University of Texas at Arlington Research Initiation Grant, $20,000, 9/1/92 – 8/31/93.
The Creation of Parallel Algorithms for Analogical Planning DSR Faculty Research and Creative Scholarship Program,
$5,000, 4/1/91 – 3/31/92.
Curriculum Vitae Maureen Schmitter-Edgecombe, Ph.D.
Office Address
Department of Psychology
Washington State University
PO Box 644820
Pullman, WA 99164-4820 schmitter-e@wsu.edu
(509) 335-0170
EDUCATION
Ph.D. The University of Memphis, Memphis, TN August, 1994
Major: APA Clinical Psychology with specialized training in Neuropsychology
Internship University of Arizona Health Sciences Center, Tucson, AR July, 1993-94
Specialty Training: INS and APA Division 40 Clinical Neuropsychology
M.S. The University of Memphis, Memphis, TN August, 1991
Major: APA Clinical Psychology with specialized training in Neuropsychology
B.S. Bucknell University, Lewisburg, PA May, 1988
Major: Biology with coursework completed for major in Psychology
ACADEMIC APPOINTMENTS
August, 2007 Professor, Department of Psychology, Washington State University, Pullman, WA
August, 2000 Associate Professor, Department of Psychology, Washington State University, Pullman, WA
August, 1994 Assistant Professor. Department of Psychology, Washington State University, Pullman, WA
HOSPITAL APPOINTMENTS
June, 1993-94 Psychology Intern. Department of Psychiatry, University of Arizona Health Sciences Center, Tucson, AR
Summer, 1992 Psychology Summer Intern. Department of Psychology, Veterans Administration Medical Center, Memphis, TN
OTHER PROFESSIONAL POSITIONS
2002-04
Director of Clinical Training, Department of Psychology, Washington State University, Pullman, WA
2002-
Licensed Clinical Psychologist. Psychology Clinic, Washington State University, Pullman, WA
2000-01
Interim Director of Clinical Training, Department of Psychology, Washington State University, Pullman, WA
1989-93
Therapist. Psychological Services Center, University of Memphis, Memphis, TN
2010 International Research Grant awardee selected for sponsorship by the Alzheimer’s Association Research Roundtable (AARR). Fellowship to present at AARR meeting.
2011-2014
Meyer Distinguished Professor, CLA, Washington State University
2010
Fellowship to present at the National Institute of Health Workshop on Personal Motion Technologies for Independent Living
2007
Microsoft and University of Rochester Fellowship to attend Workshop on Intelligent Systems for Assisted Cognition
2004-05
Presented at the Galveston Brain Injury Conference with a Grant from the Moody Endowment
2004
Adams award for Excellence in Graduate Mentorship in Experimental Methodology, WSU Psychology
2003-04
NIA Fellowship to participate in the Psychology of Aging Institute
2002
Appointed to the Graduate Faculty in the Program of Neuroscience
APA Fellowship to attend an Advanced Summer Training
Institute on Functional Magnetic Resonance Imaging
1993
APA Dissertation Research Award Recipient
1992-93
Van Vleet Memorial Doctoral Fellowship, University Fellowship
1991-92
Van Vleet Memorial Doctoral Fellowship, University Fellowship
1990-91
Vidulich Research Fellowship, Departmental Fellowship
1990
National Academy of Neuropsychology Student Research Award
1989
Phi Kappa Phi, National Honor Society
1988
Graduated Cum Laude and with Honors in Psychology, Bucknell University
1987
Sigma Xi, National Honor Society for Biology
FUNDED GRANTS: External
Improving Awareness, Training in and Access to Aging Services Technologies (ASTs) for individuals with Dementia, their Caregivers, and Health-care Providers. Attorney General’s Office, Washington State, 2013-2015, $206,103. PI.
Smart Environment Technology for Longitudinal Behavior Analysis and Intervention. NIH: National Institute of Biomedical Imaging and Bioengineering. #R01 EB015853 2012- 2016, $1.5M. MPI
A Multi-dyad Cognitive Rehabilitation Intervention.Alzheimer’s Association. 2011-2013, $320,000. PI.
Smart Environment Technologies for Health Assessment and Assistance.NIH: National Institute of Biomedical Imaging and Bioengineering. #R01 EB009675 2010-2014, $1.2M. MPI.
Integrative Training in Smart Environment and Health Technologies.National Science Foundation. IGERT funding. #DGE-0900781 2009-2014, $2.9M. Co-PI.
Smart Home-Based Health Platform for Functional Monitoring and Intervention.Life Sciences Discovery Fund. 2009-2011, $790,906. Co-PI.
Promoting Partnerships between WSU and EWU.Society of Teaching in Psychology. 2008- 2009 $500. Co-PI.
Cognitive Recovery following Traumatic Brain Injury.National Institute of Neurological and Stroke Disorders, 2004-2008, #R01 NS047690, $609,250. PI.
Acquisition and Retention of Skilled Visual Search following Traumatic Brain Injury. National Institute of Child Health and Human Development, 1998-2000, #RO3 HD035838, $110,638. PI.
The Effects of Divided Attention on the Implicit and Explicit Memory Performance of Control Subjects and Severe Closed-Head Injured Patients.American Psychological Society, Dissertation Research Award, 1993, $500. PI.
FUNDED GRANTS: Internal
Identification of Parkinson’s disease Motor States from Body-worn Sensor Data. IGIS Team Building Grant. Washington State University, College of Liberal Arts. 2012-2013, $5,000. PI
Biomarkers, Caregiving and a Multi-dyad Cognitive Rehabilitation Intervention.Berry Family CLA Faculty Excellence Fellow funding. Washington State University, 2011-2014, $25,000. PI.
Improving the Everyday Functional Independence of Older Adults with Cognitive and Physical Disability through Technology. Washington State University, College of Liberal Arts, CLA Grant Development Award. 2008-2009, Direct Cost: $14,820. PI.
Cognitive Interventions for Persons with Early-stage Dementia. Washington State University, College of Liberal Arts, Edward R. Meyer Project Award, 2007-2008, Direct Cost: $1000. PI.
Memory Performance Following Severe Closed-Head Injury. Washington State University, College of Liberal Arts, Initiation and Completion of Research Projects Grant, 2004-2005, $600. PI.
Memory Performance and Adaptive Functioning in Normal Aging, Mild Cognitive Impairment, and Alzheimer’s Disease Populations. Washington State University, College of Liberal Arts, Meyer Grant Development Award, 2003-2004, $5,000. PI.
Recovery from Traumatic Brain Injury.Washington State University, Department of Psychology, 2002-2003, $5,000. PI.
Cognitive Aging Longitudinal Research Project.Washington State University, College of Liberal Arts, 2000-2001, $2,000. PI.
Executive Functions and Parkinson’s Disease.Washington State University, College of Liberal Arts, Initiation and Completion of Research Projects Grant, 2000-2001, $400. Co-PI.
Psychology and Aging Curriculum Development.Washington State University, Service Learning Curriculum Development Minigrant, 1998-1999, $750. PI.
Traumatic Brain Injury and Cognitive Performance.Washington State University, College of Liberal Arts, Initiation and Completion of Research Projects Grant, 1996-97, $500. PI.
Cognitive Aging. Washington State University, College of Liberal Arts, Initiation and Completion of Research Projects Grant, 1995-1996, $500. PI.
Cognitive Aging.Washington State University, College of Liberal Arts, Initiation and Completion of Research Projects Grant, 1994-1995, $500. PI.
Cognitive Aging.Washington State University, Spokane, Matching Funds, 1994-1995, $500. PI.
The Effects of Severe Closed Head Injury on Three Stages of Cognitive Processing.The University of Memphis, Department of Psychology, Vidulich Research Fellowship, 1990- 1991. $8000 plus tuition remission. PI.
GRANTS UNDER REVIEW OR RECENTLY REVIEWED
Multifamily Psychoeducation for TBI: Comparison of In-Person and Web Delivery. 2013- 2018, $914,568, NIH: Co-I.
Training Program for Undergraduate Gerontechnologists (TUG). 2013-2017, 1.6M, R25, NIH: MPI.
Toxicology of the Built Environment: Energy Efficient Buildings, Indoor Air Quality and Health. $100,000. WSU Challenge Grant. Co-PI. Not funded.
Hot and cold sources of risk updating in decision making over the adult lifespan. NIH: HHS:
1.1M. Co-PI. Not funded.
A Noninvasive Cognitive Decline Monitoring System. NSF: SHB:TypeII(INT): Collaborative Research. $528,808. Co-PI. Not funded.
Objective Measures of Functional Status through Smart Home Technologies. ETAC. Alzheimer’s Association. 175,887. Co-PI. Not funded.
A Smart Memory Activity System for Persons with Cognitive Impairment. Life Sciences Discovery Fund. Co-PI. Not funded.
PROFESSIONAL AFFILIATIONS
2004-2005
Geriatric Society of America
1991-
American Psychological Association (Member)
1991-
International Neuropsychological Society (Member)
1990-
National Academy of Neuropsychology (Member)
1995-2009
The Psychonomic Society (Member)
2001-2010
Cognitive Neurosciences Society (Member)
EDITORIAL ACTIVITIES
Editorial Board Consulting Editor
ISRN Rehabilitation (2011-)
Neuropsychology (2010-2013)
Ad Hoc Reviewer,
Neuropsychology
Journal of the International Neuropsychological Society
Neuropsychologia
Memory and Cognition
Psychology and Aging
Aging, Neuropsychology, and Cognition
Psychological Bulletin
Journal of Experimental Psychology: General
Journal of Experimental Psychology: Learning, Memory, and
*Tam, J. W., & Schmitter-Edgecombe, M. (in press). The role of processing speed in the Brief Visuospatial Memory test-Revised. The Clinical Neuropsychologist.
*McAlister, C. & Schmitter-Edgecombe, M. (in press). Naturalistic assessment of executive function and everyday multitasking in healthy older adults. Aging, Neuropsychology and Cognition. doi:10.1080/13825585.2013.781990
*Dawadi, P., Cook, D., & Schmitter-Edgecombe, M. (in press). Automated cognitive health assessment using smart home monitoring of complex tasks. IEEE Transactions on Human- Machine Systems.
*Tam, J. W. & Schmitter-Edgecombe, M. (in press). Event-based prospective memory and everyday forgetting in healthy older adults and individuals with mild cognitive impairment. Journal of Clinical and Experimental Neuropsychology. DOI: 10.1080/13803395.2013.770823
*Seelye, A. M., Schmitter-Edgecombe, M., Cook, D. J., & Crandall, A. (in press). Naturalistic assessment of everyday activities and prompting technologies in mild cognitive impairment. Journal of the International Neuropsychological Society. PMID 23351284
*Parsey, C. M., Schmitter-Edgecombe, M., & Belenky, G. (in press). Sleep and everyday functioning in older adulthood. Journal of Applied Gerontology. doi:10.1177/0733464812458364
Schmitter-Edgecombe, M., *McAlister, C., & *Weakley, A. (2012). Naturalistic assessment of everyday functioning in individuals with mild cognitive impairment: the day out task. Neuropsychology, 26, 631-641. doi: 10.1037/a0029352 PMID 22846035
*Seelye, A. M., Schmitter-Edgecombe, M., *Das, B., & Cook, D. (2012). Application of cognitive rehabilitation theory to the development of smart prompting technology. IEEE Reviews in Biomedical Engineering, 5, 29-44. doi: 10.1109/RBME.2012.2196691 PMID 23231987
*Sanders, C. & Schmitter-Edgecombe, M. (2012). Identifying the nature of impairment in planning ability with normal aging. Journal of Clinical and Experimental Neuropsychology, 34, 724-737. doi: 10.1080/13803395.2012.670210. PMID: 22506736
*Das, B., Cook, D. J., Schmitter-Edgecombe, M., *Seelye, A. M. (2012). PUCK: An automated prompting system for smart environments. Personal & Ubiquitous Computing, 16, 859-873. doi: 10.1007/s00779-01100445-6
Schmitter-Edgecombe, M., & *Seelye, A. M. (2012). Recovery of content and temporal order memory for performed activities following moderate to severe traumatic brain injury. Journal of Clinical and Experimental Neuropsychology, 34, 256-268. doi: 10.1080/13803395.2011.633497 PMID 22220505
*Pavawalla, S., Schmitter-Edgecombe, M. & Smith, R (2012). Prospective memory following moderate-to-severe traumatic brain injury: a formal multinomial modeling approach. Neuropsychology, 26, 91-101. doi: 10.1037/a0025866 PMID 21988127
Cook, D. J., Schmitter-Edgecombe, M. & Holder, L. B. (2011). Gerontechnology education: Beyond the barriers. IEEE Persuasive Computing, 10, 59-63.
Schmitter-Edgecombe, M., *Parsey, C., & Cook, D. (2011). Cognitive correlates of functional performance in older adults: comparison of self-report, direct observation and performance- based measures. Journal of the International Neuropsychological Society, 17, 853-864. PMID 217129400
*Wright, M. & Schmitter-Edgecombe, M. (2011). The impact of verbal memory encoding and consolidation deficits during recovery from moderate-to-severe traumatic brain injury. Journal of Head Trauma Rehabilitation, 26, 182-191. PMID 21552067
Schmitter-Edgecombe, M. & *Seelye, A. M. (2011). Predictions of verbal episodic memory in persons with Alzheimer’s disease. Journal of Clinical and Experimental Neuropsychology, 33, 218-225. PMID 20839133
*Anderson, J. & Schmitter-Edgecombe, M. (2011). Recovery of time estimation following moderate to severe traumatic brain injury. Neuropsychology, 25, 36-44. PMID 20919767.
*Parsey, C. & Schmitter-Edgecombe, M. (2011). Quantitative and Qualitative Analyses of the Clock Drawing Test in Mild Cognitive Impairment and Alzheimer’s Disease: Evaluation of a Modified Scoring System. Journal of Geriatric Psychiatry and Neurology, 24, 108-118. PMID 21546651
*Rashidi, P., Cook, D. J., Holder, L. B., & Schmitter-Edgecombe, M. (2011). Discovering activities to recognize and track in a smart environment. IEEE Transactions on Knowledge and Data Engineering, 23, 527-539. PMID 21617742
Schmitter-Edgecombe, M., & *Creamer, S. (2010). Assessment of strategic processing during narrative comprehension in individuals with mild cognitive impairment. Journal of the International Neuropsychological Society, 16, 661-671. PMID 20438657
*Wright, M. J., Schmitter-Edgecombe, M., & *Woo, E. (2010). Verbal memory impairment in severe closed-head injury: The role of encoding and consolidation. Journal of Clinical and Experimental Neuropsychology, 32, 728-736. PMID 20175012
*Anderson, J. & Schmitter-Edgecombe, M. (2010). Mild cognitive impairment and feeling-of- knowing in episodic memory. Journal of Clinical and Experimental Neuropsychology, 32, 505-514. PMID 19821173
*Creamer, S. & Schmitter-Edgecombe, M. (2010). Narrative comprehension in Alzheimer’s disease: Assessing inferences and memory operations with a think-aloud procedure. Neuropsychology, 24, 279-290. PMID 20438206
*Singla, G., Cook, D. J., & Schmitter-Edgecombe, M. (2010). Recognizing independent and joint activities among multiple residents in smart environments. Journal of Ambient Intelligence and Humanized Computing,1, 57-63. PMID 20975986
*Seelye, A. M., Schmitter-Edgecombe, M. & *Flores, J. (2010). Episodic memory predictions in persons with amnestic and non-amnestic mild cognitive impairment. Journal of Clinical and Experimental Neuropsychology, 32, 433-441. PMID 20397298
*Livengood, M., *Anderson, J., & Schmitter-Edgecombe, M. (2010). Assessment of memory self-awareness following traumatic brain injury. Brain Injury, 24, 598-608. PMID 20235762
*Woo, E., & Schmitter-Edgecombe, M. (2009). Aging and semantic cueing during learning nd renetion of verbal episodic information. Aging, Neuropsychology, and Cognition, 16, 103-
PMID 18923945
Cook, D. J., & Schmitter-Edgecombe, M. (2009). Assessing the quality of activities in a smart environment. Methods of Information in Medicine, 48, 480-485.
*Wright, M. J., *Woo, E., Schmitter-Edgecombe, M., Hinkin, C. H., & Miller, E. N. (2009). The item specific deficit approach to evaluating verbal memory dysfunction: rationale, psychometrics and application. Journal of Clinical and Experimental Neuropsychology, 31, 790-802. PMID 19142773
*Singla, G., Cook, D. J., & Schmitter-Edgecombe, M. (2009). Tracking activities in complex settings using smart environment technologies. International Journal of BioSciences, Psychiatry and Technology, 1, 25-35. PMID 20019890
*Anderson, J., & Schmitter-Edgecombe, M. (2009). Predictions of episodic memory performance following moderate-to-severe traumatic brain injury. Journal of Clinical and Experimental Neuropsychology, 31, 425-438. PMID 18696113
*Rueda, A., & Schmitter-Edgecombe, M. (2009). Time estimation abilities in persons with mild cognitive impairment and Alzheimer’s disease. Neuropsychology, 23, 178-188. PMID 19254091
Schmitter-Edgecombe, M., *Woo, E. & Greeley, D. (2009). Characterizing multiple memory deficits and their relation to everyday functioning in individuals with mild cognitive impairment. Neuropsychology, 23, 168-177. PMID 19254090
Schmitter-Edgecombe, M. & *Sanders, C. (2009). Task switching in mild cognitive impairment: Switch and nonswitch costs. Journal of the International Neuropsychological Society, 15, 103-111. PMID 19128533
Schmitter-Edgecombe, M., *Howard, J. T., *Pavawalla, S., *Howell, L. & *Rueda, A. (2008). Multi-dyad Memory Notebook Intervention for Very Mild Dementia: A Pilot Study. American Journal of Alzheimer’s Disease & Other Dementias, 23, 477-487.
*McWilliams, J., & Schmitter-Edgecombe, M. (2008). Semantic memory organization during the early stage of recovery from traumatic brain injury. Brain Injury, 22, 243-253.
Schmitter-Edgecombe, M., & *Rueda, A. D. (2008). Time estimation and episodic memory following traumatic brain injury. Journal of Clinical and Experimental Neuropsychology, 30, 212-223.
*Woo, E., Schmitter-Edgecombe, M., & *Fancher, J. (2008). Memory prediction accuracy in younger and older adults: A cross-sectional and longitudinal analysis. Aging, Neuropsychology, and Cognition, 15, 1-27.
*Chaytor, N., & Schmitter-Edgecombe, M. (2007). Fractionation of the Dysexecutive Syndrome in a Heterogeneous Neurological Sample. Brain Injury, 21, 615-621.
Schmitter-Edgecombe, M. & *Woo, E. (2007). Effects of age and divided attention on memory components derived for the category exemplar generation task. Aging, Neuropsychology, and Cognition, 14, 274-300.
Schmitter-Edgecombe, M., & *Anderson, J. W. (2007). Feeling-of-knowing in episodic memory following moderate-to-severe closed-head injury. Neuropsychology, 21, 224-234.
Schmitter-Edgecombe, M., & *Kayne, M. (2006). Costs of predictable switch between simple cognitive tasks following severe closed-head injury. Neuropsychology, 20, 675-684.
*Pavawalla, S. & Schmitter-Edgecombe, M. (2006). Long-term retention of skilled visual search following severe closed-head injury. Journal of the International Neuropsychological Society, 12, 802-811.
*Chaytor, N. S., Schmitter-Edgecombe, M., & Burr, R. (2006). Improving the ecological validity of executive functioning tests: Environmental demands and compensatory strategies. Archives of Clinical Neuropsychology, 21, 217-227.
Schmitter-Edgecombe, M. (2006). Implications of basic science research for brain injury remediation: A focus on intact learning mechanism. Journal of Head Trauma Rehabilitation, 21, 131-141.
Schmitter-Edgecombe, M., & *Bales, J. W. (2005). Understanding text after severe closed- head injury: Assessing inferences and memory operations with a think-aloud procedure. Brain and Language, 94, 331-346.
Schmitter-Edgecombe, M., & *Wright, M. (2004). Event-based prospective memory following severe closed-head injury. Neuropsychology, 18, 353-361.
Schmitter-Edgecombe, M., & *Woo, E. (2004). Memory self-awareness and memory self- monitoring following severe closed-head injury. Brain Injury, 10, 997-1016.
Chaytor, N., & Schmitter-Edgecombe, M. (2004). Working memory and aging: A cross- sectional and longitudinal analysis. Journal of the International Neuropsychological Society, 10, 489-503.
Schmitter-Edgecombe, M., Marks, W., *Wright, M. & Ventura, M. (2004). Retrieval inhibition in directed forgetting following severe closed-head injury. Neuropsychology, 18, 104-114.
*Chaytor, N., & Schmitter-Edgecombe, M. (2003). The ecological validity of neuropsychological tests: A review of the literature on everyday cognitive skills. Neuropsychology Review, 13, 181-197.
Schmitter-Edgecombe, M. & *Wright, M. J. (2003). Content memory and temporal order memory for performed activities after severe closed-head injury. Journal of Clinical and Experimental Neuropsychology, 25, 933-948.
Schmitter-Edgecombe, M. & *Chaytor, N. (2003). Self-ordered pointing performance following severe closed-head injury. Journal of Clinical and Experimental Neuropsychology, 25, 918-932.
*Simpson, A., & Schmitter-Edgecombe, M. (2002). Prediction of employment status following traumatic brain injury using a behavioral measure of frontal lobe functioning. Brain Injury, 16, 1075-1091.
Schmitter-Edgecombe, M., & *Nissley, H. (2002). Effects of aging on implicit covariation learning. Aging, Neuropsychology, and Cognition, 9, 61-75.
*Nissley, H. M., & Schmitter-Edgecombe, M. (2002). Perceptually-based implicit learning in severe closed-head injury patients. Neuropsychology, 16, 111-122.
Schmitter-Edgecombe, M., & *Beglinger, B. (2001). Acquisition of skilled visual search performance following severe closed-head injury. Journal of the International Neuropsychological Society, 7, 615-630.
Schmitter-Edgecombe, M., & *Simpson, A. L. (2001). Effects of age and intentionality on content memory and temporal order memory for performed activities. Aging, Neuropsychology, and Cognition, 8, 81-97.
Schmitter-Edgecombe, M. &, *Nissley, H. M. (2000). Effects of divided attention on automatic and controlled components of memory after severe closed head injury. Neuropsychology, 14, 559-569.
Schmitter-Edgecombe, M., *Vesneski, M., & *Jones, D. (2000). Aging and word finding: A comparison of discourse and nondiscourse tests. Archives of Clinical Neuropsychology, 15, 479-493.
*Simpson, A., & Schmitter-Edgecombe, M. (2000). Effects of severe closed-head injury on inhibitory attentional mechanisms. Neuropsychology, 14, 310-319.
Schmitter-Edgecombe, M. (1999). Effects of divided attention and time course on automatic and controlled components of memory in older adults. Psychology and Aging, 14, 331-343.
Schmitter-Edgecombe, M. (1999). Effects of divided attention on perceptual and conceptual memory performances. Memory and Cognition, 27, 512-525.
Kibby, M., Schmitter-Edgecombe, M., & Long, C. J. (1998). Ecological validity of neuropsychological tests: Focus on the California Verbal Learning Test and the Wisconsin Card Sorting Test. Archives of Clinical Neuropsychology, 13, 523-534.
Schmitter-Edgecombe, M., & Kibby, M. (1998). Visual selection following severe closed head injury: Focused and divided attention. Journal of the International Neuropsychological Society, 4, 144-159.
Schmitter-Edgecombe, M., & Rogers, W. A. (1997). Automatic process development following severe closed head injury. Neuropsychology, 11, 296-308.
Schmitter-Edgecombe, M. (1996). Effects of divided attention on implicit and explicit memory performance following severe closed head injury. Neuropsychology, 10, 155-167.
Schmitter-Edgecombe, M. (1996). Effects of traumatic brain injury on cognitive performance: An attentional resource hypothesis in search of data. Journal of Head Trauma Rehabilitation, 11, 17-30.
Schmitter-Edgecombe, M. (1996). The effects of divided attention on implicit and explicit memory performance. Journal of the International Neuropsychological Society, 2, 111-125.
Schmitter-Edgecombe, M., Fahy, J. F., Whelan, J. P., & Long, C. J. (1995). Memory remediation after severe closed-head injury: Notebook training versus supportive therapy. Journal of Consulting and Clinical Psychology, 63, 484-489
Schmitter-Edgecombe, M., Marks, W., & Fahy, J. F. (1993). Semantic priming following severe closed-head trauma: Automatic and attentional processes. Neuropsychology, 7, 136-148.
Schmitter-Edgecombe, M., Marks, W., Fahy, J. F., & Long, C. J. (1992). Effects of severe closed-head injury on three stages of information processing. Journal of Clinical and Experimental Neuropsychology, 14, 717-737.
Fahy, J. F., & Schmitter, M. E. (1992). Current issues in memory research: What is prospective memory? The Journal of Head Injury, 2, 21-24.
Long, C. J., & Schmitter, M. E. (1990). The use of neuropsychological data in the development of a treatment plan for brain injured individuals. Psychotherapy in Private Practice, 8, 99- 114.
PEER REVIEWED TECHNICAL REPORTS AND PROCEEDINGS
*Darnall, N., Krishnan, N., Carlson, J., Greeley, D., Mark, J., Schmitter-Edgecombe, M., & Lin, D. (June, 2013). Identifying the presences of dyskinesia in patients with Parkinson’s disease from accelerometer data. Proceedings of the the ASME Summer Bioengineering Conference (Sunriver, Oregon).
*Zulas, A., *Crandall, A., Schmitter-Edgecombe, M. & Cook, D. (October, 2012). Caregiver needs from elder care assistive smart homes: Nursing assessment. Proceedings of the Human Factors and Ergonomics Society’s 56th Annual Meeting.
*Das, B., *Thomas, B. L., *Seelye, A., Cook, D. J., Holder, L. B., & Schmitter-Edgecombe, M. (January, 2012). Context-aware prompting from your smart phone. Proceedings of the 2nd IEEE International Workshop on Consumer eHealth Platforms, Services and Applications CCNC, 56-57.
*Das, B., *Seelye, A., *Thomas, B. L., Cook, D. J., Holder, L. B., & Schmitter-Edgecombe, M. (January, 2012). Using smart phones for context-aware prompting in smart environments. Proceedings of the 2nd IEEE International Workshop on Consumer eHealth Platforms, Services and Applications CCNC, 399-403.
*Dawadi, P., Cook, D., *Parsey, C., Schmitter-Edgecombe, M., & *Schneider, M. An approach to functional assessment in smart home. (August, 2011). Proceedings of the Knowledge Discovery and Data Mining Workshop on Medicine and HealthCare.
Cook, D., Schmitter-Edgecombe, M., *Crandall, A., *Sanders, C. & *Thomas, B. (April, 2009). Collecting and disseminating smart home sensor data in the CASAS project. Proceedings of the Computer-Human Interaction Workshop on Developing Shared Home Behavior Datasets to Advance HCI and Ubiquitous Computing Research.
*Singla, G., Cook, D. J., & Schmitter-Edgecombe, M. (2008). Incorporating Temporal Reasoning into Activity Recognition for Smart Home Residents. AAAI Technical Report Series: Spatial and Temporal Reasoning, 53-61.
BOOK CHAPTERS
Schmitter-Edgecombe, M., *Seelye, A., & Cook, D. J. (2013). Technologies for health assessment, promotion and assistance: Focus on gerontechnology. In J. J. Randolph (Ed.), Positive Neuropsychology: An Evidence-Based Perspective on Promoting Cognitive Health. New York, NY: Springer Science and Business Media, LLC.
*Sanders, C., Ziegler, E., & Schmitter-Edgecombe, M. (2012). Traumatic brain injury and the impact of secondary influences. In P. Arnett (Ed.), Secondary Influences on Neuropsychological Test Performance. Oxford University Press.
Schmitter-Edgecombe, M., *Pavawalla, S., *Howard, J. T., *Howell, L. & *Rueda, A. (2009). Dyadic Interventions for Persons with Early-Stage Dementia: A Cognitive Rehabilitative Focus. In R. R. Bougham (Ed.), New Directions in Aging Research: Health and Cognition. Nova Science Publishers.
Long, C. J., & Schmitter, M. E. (1992). Neuropsychological outcome: Evaluation of cognitive sequelae following head injury. In C. J. Long & L. Ross (Ed.), Handbook of head trauma: From acute care to recovery (pp. 107-122). New York: Plenum Press.
BOOK REVIEWS
Schmitter-Edgecombe, M. (2008). Inhibition: What does it mean and how can we measure it? Book review of D. S. Gorfein and C. M. MacLoed (Eds.), Inhibition in Cognition. Journal of Clinical and Experimental Neuropsychology, 30, 607-609.
TREATMENT MANUALS
Schmitter-Edgecombe, M., Dyck, D. G., Norell, D., & Warren, L. (last updated, January 2012).
A Cognitive Rehabilitation Multi-Family Group Intervention for Individuals with Mild Cognitive Impairment and their Care-Partners: Treatment Manual (pp. 1-59). Alzheimer’s Association.
Schmitter-Edgecombe, M., Dyck, D. G., Norell, D., & Warren, L. (last updated, January 2012).
A Cognitive Rehabilitation Multi-Family Group Intervention for Individuals with Mild Cognitive Impairment and their Care-Partners: Workbook (pp. 1-138). Alzheimer’s Association.
MANUSCRIPTS SUBMITTED
*Dawadi, P., Cook, D., Schmitter-Edgecombe, M., & *Parsey, C. (submitted). Automated assessment of cognitive health using smart home technologies.
*Anderson, J. A., *Rueda, A., & Schmitter-Edgecombe, M. (submitted). Stability of time estimation: evaluating the effects of age.
*Weakley, A., Schmitter-Edgecombe, M., & Anderson, J. (submitted). Analysis of verbal fluency in amnestic and nonamnestic mild cognitive impairment.
*Parsey, C. M., & Schmitter-Edgecombe, M. (submitted). Applications of technology in neuropsychological assessment.
SUBMITTED PROCEEDINGS
Williams, J., Weakley, A., Cook, D. & Schmitter-Edgecombe, M. (July, 2013). Machine learning techniques for diagnostic differentiation of mild cognitive impairment and dementia. Proceedings of the First Workshop on Expanding the Boundaries of Health Informatics using Artificial Intelligence (Bellevue, Washington).
THESES AND DISSERTATIONS SUPERVISED
Master’s Theses Chaired or Chairing: 13
Jill McConnell, Amy Simpson, Tamra Karl, Naomi Chaytor, Heather Nissley, Shital Pavawalla, Michelle Kayne, Scott Creamer, Alicia Rueda, Chad Sanders, Carolyn Parsey, Joyce Tam, Kayela Robertson
Doctoral Dissertations Chaired or Chairing: 18
Amy Simpson, Pamela Freske, Naomi Chaytor, Heather Nissley, Ellen Woo, Matt Wright, Shital Pavawalla, Lisa Howell, Alicia Rueda, Carly Anderson, Scott Creamer, Adrianna Seelye, Chad Sanders, Carolyn Parsey, Courtney McAlister, Joyce Tam, Alyssa Weakley
Tam, J., & Schmitter-Edgecombe, M. (October, 2103). Temporal order memory and intentional learning in individuals with mild cognitive impairment. Submitted to the 33rd annual meeting of the National Academy of Neuropsychology, San Diego, CA.
McAlister, C., & Schmitter-Edgecombe, M. (October, 2103). Everyday functioning and neuropsychiatric symptoms in healthy older adults and individuals with mild cognitive impairment. Submitted to the 33rd annual meeting of the National Academy of Neuropsychology, San Diego, CA.
Tam, J., & Schmitter-Edgecombe, M. (July, 2103). Age-differences in prospective memory performance in a naturalistic setting. To be presented at the 11th Annual Conference of the American Academy of Clinical Neuropsychology, Chicago, IL.
Fanale, C.M., Eldridge, D., Wright, B., Schmitter-Edgecombe, M., Warren, L., Banasik, J., & Dyck, D. (May, 2013). Preliminary results: High-density lipoprotein is predictive of superior cognitive function in older adults with mild cognitive impairment. To be presented at the 25th annual meeting of the Association for Psychological Science, Washington, DC.
Fanale, C.M., Eldridge, D., Wright, B., Schmitter-Edgecombe, M., Warren, L., Banasik, J., & Dyck, D. (May, 2013). Preliminary results for the effects of a psychoeducational intervention upon physiological markers associated with cognitive impairment. To be presented at the 25th annual meeting of the Association for Psychological Science, Washington, DC.
Fritz, R. L., Doty, K., Mavana, N., Schmitter-Edgecombe, M., & Cook, D. (April, 2013). Detecting cognitive decline using smart home technology. Submitted to the 46th annual meeting of the Western Institute of Nursing, Anaheim, CA.
Robertson, K., Fuller, S., & Schmitter-Edgecombe, M. (February, 2013). Examination of attentional deficits following traumatic brain injury. To be presented at the 41st annual meeting of the International Neuropsychological Society, Kona, Hawaii.
Schmitter-Edgecombe, M., Parsey, C., McAlister, C., Weakley, A. & Cook, D. J. (February, 2013). Functional impairment and cognitive correlates of performance: aging and mild cognitive impairment. Symposia be presented at the 41st annual meeting of the International Neuropsychological Society, Kona, Hawaii.
Seelye, A., Schmitter-Edgecombe, M., Cook, D. J. & Crandall (February, 2013). Technology based prompting for instrumental activities of daily living in healthy aging, mild cognitive impairment and dementia. To be presented at the 41st annual meeting of the International Neuropsychological Society, Kona, Hawaii.
Weakley, A., Schmitter-Edgecombe, M., & Anderson, J. (February, 2013). Analysis of verbal fluency in mild cognitive impairment. To be presented at the 41st annual meeting of the International Neuropsychological Society, Kona, Hawaii.
Parsey, C., M., & Schmitter-Edgecombe, M. (February, 2013). Direct observation of instrumental activities of daily living in normal aging, mild cognitive impairment, and dementia. To be presented at the 41st annual meeting of the International Neuropsychological Society, Kona, Hawaii.
Schmitter-Edgecombe, M., Sanders, C., Low, C., Warren, L., Norell, D., Wu, L, & Dyck, D. (July 2012). An integrated cognitive rehabilitation multi-family group intervention for individuals with mild cognitive impairment and their care partners: preliminary data. Presented at the Alzheimer’s Association International Conference, Vancouver, WA. (also presented at Spokane showcase, March, 2013).
Parsey, C., Schmitter-Edgecombe, M., & Belenky, G. (June, 2012). Sleep and everyday functioning in a cognitively healthy older adult population. Presented at the 10th Annual Conference of the American Academy of Clinical Neuropsychology, Seattle, WA.
Tam, J., Schmitter-Edgecombe, M. (June, 2012). Incidental memory in individuals with amnestic mild cognitive impairment (aMCI) and non-amnestic mild cognitive impairment (non-aMCI). Presented at the 10th Annual Conference of the American Academy of Clinical Neuropsychology, Seattle, WA.
McAlister, C., Weakley, A. & Schmitter-Edgecombe, M., (June, 2012). Naturalistic assessment of everyday functioning in individuals with mild cognitive impairment: the day out task. Presented at the 10th Annual Conference of the American Academy of Clinical Neuropsychology, Seattle, WA.
Schmitter-Edgecombe, M. (May, 2012). Smart home technology – current application and data extrapolation. Presented as part of a symposium entitled: Update in Smart Home Technologies: “Getting Smarter as we Age” at the Annual Scientific Meeting of the American Geriatric Society, Seattle, WA.
Tam, J. W., Creamer, S., & Schmitter-Edgecombe, M. (February, 2012). The role of processing speed in the Brief Visuospatial Memory Test (BVMT). Presented at the 40th annual meeting of the International Neuropsychological Society, Montreal, CA.
Seelye, A. M., Smith, A., Schmitter-Edgecombe, M., & Cook, D. (February, 2012). A graded hierarchy of prompts to assist healthy older adults in completion of instrumental activities of daily living in a smart environment. Presented at the 40th annual meeting of the International Neuropsychological Society, Montreal, CA.
Das, B., Thomas, B., Seelye, A. Cook, D., Holder, L. & Schmitter-Edgecombe, M. (January 2012), Context-Aware Prompting From Your Smart Phone, Presented at the IEEE Consumer Communications and Networking Conference Demonstration, Las Vegas, NV, USA, 2012.
Schmitter-Edgecombe, M., Parsey, C., & Cook, D. (November, 2011). Cognitive correlates of functional performance in older adults: comparison of self-report, direct observation and performance-based measures. Presented at the 31st annual meeting of the National Academy of Neuropsychology, Marco Island, FL.
Sanders, C., Kovacs, M., Walton, B., & Schmitter-Edgecombe, M. (November, 2011). Identifying the nature of impairment in planning ability with normal aging. Presented at the 31st annual meeting of the National Academy of Neuropsychology, Marco Island, FL.
McAlister, C., Tam, J., & Schmitter-Edgecombe, M. (November, 2011). An ecologically valid assessment of executive function in healthy older adults: the day out task. Presented at the 31st annual meeting of the National Academy of Neuropsychology, Marco Island, FL.
Tam, J., McAlister, C., & Schmitter-Edgecombe, M. (November, 2011). Prospective memory and everyday memory lapses in individuals with mild cognitive impairment. Presented at the 31st annual meeting of the National Academy of Neuropsychology, Marco Island, FL. (also presented at WSU showcase, April 2013).
Parsey, C., Dawadi, P., Schmitter-Edgecombe, M., & Cook, D. (June, 2011). Measures of everyday functioning in a smart environment: An evaluation of direct observation and data mining techniques. Presented at the Festival of International Conferences on Caregiving, Disability, Aging and Technology, Toronto, Canada.
Aguilar, C., Anderson, J. W., & Schmitter-Edgecombe, M. (April, 2011). The (lack of) relationship between working memory and verbal time estimation. Presented at the ninety first annual meeting of the Western Psychological Association, Los Angeles, CA.
Parsey, C., Schmitter-Edgecombe, M., Hulbert, A., & Cook, D. (February, 2011). Effects of normal aging on instrumental activities of daily living in a smart environment. Presented at the thirty-ninth annual meeting of the International Neuropsychological Society, Boston MA.
Seeyle, A., Smith, A., Schmitter-Edgecombe, M., & Cook, C. J. (October, 2010). Cueing technologies for assisting persons with mild cognitive impairment in IADL completion in an experimenter-assisted smart environment. Presented at the 30th annual meeting of the National Academy of Neuropsychology, Vancouver, BC.
Creamer, S., Reynold-Boyle, I., & Schmitter-Edgecombe, M. (October, 2010). WAIS-III performances of adult ADHD and clinical controls. Presented at the 30th annual meeting of the National Academy of Neuropsychology, Vancouver, BC.
Barsuglia, J. P., Woo, E., Yi, D., Schmitter-Edgecombe, M., Wright, M. J., Andersh, L., Lu, P. (July, 2010). The role of attention in story memory in mild cognitive impairment. Presented at the Alzheimer’s disease International Conference, Honolulu, Hawaii.
Parsey, C., Srinivasan, R., Schmitter-Edgecombe, M., & Cook, D. (May, 2010). Monitoring activity with actigraph and motion-sensor data in a smart environment. Presented at the 7th annual work conference of the International Society for Gerontechnology, Vancouver, CA.
Parsey, C., Schmitter-Edgecombe, M., Foltz, L., Hansen, N., Cook, D., & Belenky, G. (June, 2010). Sleep/wake patterns in Mild Cognitive Impairment: A preliminary study of sleep disturbance in transitional cognitive decline. Presented at the 24th Annual Meeting of the Associated Professional Sleep Societies, San Antonio, TX.
Schmitter-Edgecombe, M., Rashida, P., Cook, D., & Holder, L. (March, 2010). Discovering and tracking activities of daily living using smart environment technologies. Presented at the annual meeting of the American Association for Geriatric Psychiatry, Savannah, GA.
Barsuglia, J. P., Yi, D., M., Woo, E., Schmitter-Edgecombe, M., Wright, Lu, P.H. & Andersh, L. (March, 2010). Thematic cueing for story recall in mild cognitive impairment. Presented at the twenty-first annual meeting of the American Neuropsychiatric Association, Tampa, FL.
Wright, M. J., Schmitter-Edgecombe, M., Woo, E., Kim, H & Mikael, M. (March, 2010). Verbal Memory Impairment in Severe Closed-Head Injury: The Role of Encoding and Consolidation. Presented at the twenty-first annual meeting of the American Neuropsychiatric Association, Tampa, FL.
Pavawalla, S., Schmitter-Edgecombe, M., Smith, R. E., Auger, R., Green, S., Summerville, J., & Pooni, H. (February, 2010). Prospective memory following moderate to severe traumatic brain injury: A formal multinomial modeling approach. Presented at the Thirty-eight annual meeting of the International Neuropsychological Society, Acapulco, Mexico.
Cook, D., & Schmitter-Edgecombe, M. (August, 2009). Smart home-based platform for functional monitoring and intervention. Presented at the Second annual Life Sciences Discovery Fund and the Washington Biomedical and Biotechnology Association open house, Seattle, WA.
Seeyle, A. M., & Schmitter-Edgecombe, M. (June, 2009). Memory self-awareness and self- monitoring in persons with Alzheimer’s disease. Presented at the Seventh annual meeting of the American Academy of Clinical Neuropsychology, San Diego, California. **received student poster award
Wright, M. J., Woo, E., Schmitter-Edgecombe, M., Hinkin, C. H., Miller, E. N. & Gooding, A. L. (February, 2009). To introduce and evaluate the Item-Specific Deficit Approach (ISDA), a novel method for characterizing memory deficits. Presented at the Thirty- seventh annual meeting of the International Neuropsychological Society, Atlanta, Georgia.
Seelye, A., Flores, J. & Schmitter-Edgecombe, M. (February, 2009). Episodic memory predictions in persons with amnestic and non-amnestic mild cognitive impairment. Presented at the Thirty-seventh annual meeting of the International Neuropsychological Society, Atlanta, Georgia.
Schmitter-Edgecombe, M., Sanders, C., Andersh, L. & Cook, D. (February, 2009). Profiling Activities of Daily Living using Pervasive Sensing in a Smart Environment. Presented at the Thirty-seventh annual meeting of the International Neuropsychological Society, Atlanta, Georgia.
Creamer, S. & Schmitter-Edgecombe, M. (February, 2009). Narrative Comprehension in Mild Cognitive Impairment: Assessing Inferences and Memory Operations with a Think- aloud Procedure. Presented at the Thirty-seventh annual meeting of the International Neuropsychological Society, Atlanta, Georgia.
Rueda, A., Parsey, C. & Schmitter-Edgecombe, M. Clock Drawing in Healthy Aging and Mild Cognitive Impairment. (February, 2009). Presented at the Thirty-seventh annual meeting of the International Neuropsychological Society, Atlanta, Georgia.
McDonald, R., Mytinger, A., Hulbert, A. & Schmitter-Edgecombe, M. Analysis of Verbal Fluency in Alzheimer’s disease. (February, 2009). Presented at the Thirty-seventh annual meeting of the International Neuropsychological Society, Atlanta, Georgia.
Anderson, J., Coukoulis, V. & Schmitter-Edgecombe, M. (February, 2009). The Recovery of Time Estimation following Moderate to Severe Traumatic Brain Injury. Presented at the Thirty-seventh annual meeting of the International Neuropsychological Society, Atlanta, Georgia.
Livengood, M. Anderson, J. & Schmitter-Edgecombe, M. (February, 2009). Memory Self- Awareness following TBI: Evaluating “offline assessment” and “online assessment” methodologies. Presented at the Thirty-seventh annual meeting of the International Neuropsychological Society, Atlanta, Georgia.
Singla, G., Cook, D., & Schmitter-Edgecombe, M. (July, 2008). Incorporating temporal reasoning into activity recognition for smart home residents. Presented at the AAAI Workshop on Spatial and Temporal Reasoning, Chicago, IL.
Howard, J. & Schmitter-Edgecombe, M. (April, 2008). Memory Awareness in a Mild Cognitive Impairment Sample. Presented at the 10th Annual Rehabilitation Psychology Conference, Tucson, AZ.
McDonald, R. & Schmitter-Edgecombe, M. (April, 2008). Analysis of verbal fluency in early recovery from Traumatic Brain Injury. Presented at the 10th Annual Rehabilitation Psychology Conference, Tucson, AZ.
Schmitter-Edgecombe, M., Woo, E., & Greeley, D. (April, 2008). Memory deficits, everyday functioning, and mild cognitive impairment. Presented at the 10th Annual Rehabilitation Psychology Conference, Tucson, AZ.
Rueda, A., & Schmitter-Edgecombe, M. (February, 2008). Time Estimation in Alzheimer’s Disease. Presented at the Thirty-sixth annual meeting of the International Neuropsychological Society, Waikoloa, Hawaii.
Creamer, S., & Schmitter-Edgecombe, M. (February, 2008). Narrative Comprehension in Alzheimer’s Disease: Assessing Inferences and Memory Operations with a Think-aloud Procedure. Presented at the Thirty-sixth annual meeting of the International Neuropsychological Society, Waikoloa, Hawaii.
Anderson, J., & Schmitter-Edgecombe, M. (February, 2008). Attentional Control and Variability Following Closed-head Injury. Presented at the Thirty-sixth annual meeting of the International Neuropsychological Society, Waikoloa, Hawaii.
Schmitter-Edgecombe, M., Pavawalla, S., Howell, L., Howard, J., & Rueda, A. (February, 2008). Efficacy of a Memory Notebook Intervention for Persons with Early-Stage Dementia. Presented at the Thirty-sixth annual meeting of the International Neuropsychological Society, Waikoloa, Hawaii.
McWilliams, J., & Schmitter-Edgecombe, M. (February, 2008). Access to Semantic Knowledge during Early Stage Recovery from Traumatic Brain Injury. Presented at the Thirty-sixth annual meeting of the International Neuropsychological Society, Waikoloa, Hawaii.
Cook, D., Schmitter-Edgecombe, E., & Crandall, A. (November, 2007). Smart environment support to assist elder adults and people with disabilities. Presented at the Assisted Cognition Workshop, Rochester, New York.
Langill, M., & Schmitter-Edgecombe, M. (May, 2007). Memory notebook training for very mild dementia: A case study. Presented at the Thirty-third annual meeting of the Association for Behavioral Analysis International, San Diego, CA.
Rueda, A. & Schmitter-Edgecombe, M. (February, 2007). Time Estimation in Healthy Older Adults and Very Mild Dementia. Presented at the Thirty-fifth annual meeting of the International Neuropsychological Society, Portland, Oregon.
Anderson, M. & Schmitter-Edgecombe, M. (February, 2007). Memory predictions for episodic memory tasks in early recovery following severe traumatic brain injury. Presented at the Thirty-fifth annual meeting of the International Neuropsychological Society, Portland, Oregon.
Schmitter-Edgecombe, M., Anderson, J., & Creamer, S. (February, 2007). Very Mild Dementia and Feeling-of-knowing in Episodic Memory. Presented at the Thirty-fifth annual meeting of the International Neuropsychological Society, Portland, Oregon.
Langill, M., Sanders, C., & Schmitter-Edgecombe, M. (February, 2007). Task switching in Very Mild Dementia. Presented at the Thirty-fifth annual meeting of the International Neuropsychological Society, Portland, Oregon.
Pavawalla, S., Wiems, J. & Schmitter-Edgecombe, M. (February, 2007). Monitoring Behavior on a Time-based Prospective Memory Task Following Traumatic Brain Injury. Presented at the Thirty-fifth annual meeting of the International Neuropsychological Society, Portland, Oregon.
Kayne-Langill, M., & Schmitter-Edgecombe, M. (April, 2006). Investigation of Articulatory Suppression and Response Set Interval in Task Switching. Presented at the Thirteenth annual meeting of the Cognitive Neuroscience Society, San Francisco, CA.
Rueda, A., Schmitter-Edgecombe, M., & Nugen, M. (April, 2006). Time Estimation Following Closed Head Injury. Presented at the Thirteenth annual meeting of the Cognitive Neuroscience Society, San Francisco, CA.
Pavawalla, S., & Schmitter-Edgecombe, M. (April, 2006). Activity-Based Prospective Memory Following Closed-Head Injury. Presented at the Thirteenth annual meeting of the Cognitive Neuroscience Society, San Francisco, CA.
Anderson, J., & Schmitter-Edgecombe, M. (April, 2006). Severe Closed-head Injury and Feeling-of-knowing in Episodic Memory. Presented at the Thirteenth annual meeting of the Cognitive Neuroscience Society, San Francisco, CA.
Woo, E., Schmitter-Edgecombe, M., Hollenback, E., Benegas, J., & Curren, A. (February, 2006). Cognitive support for verbal episodic memory in older adults. Presented at the Thirty-fourth annual meeting of the International Neuropsychological Society, Boston, MA.
Wright, M., Schmitter-Edgecombe, & Curren, A. (February, 2006). Investigating the foundations of verbal memory dysfunction following high-velocity closed-head injury: An application of the Item Specific Deficit Approach to the CVLT. Presented at the Thirty- fourth annual meeting of the International Neuropsychological Society, Boston, MA.
Schmitter-Edgecombe, M., & Kayne-Langill, M. (October, 2005). Set shifting following severe closed-head injury. Presented at the Twenty-fifth annual meeting of the National Academy of Neuropsychology, Tampa, Florida.
Schmitter-Edgecombe, M. (April, 2005). Implications of basic science research for brain injury remediation: a focus on intact learning mechanisms. Invited presentation at the Galveston Brain Injury Conference, Galveston, Texas.
Pavawalla, S. & Schmitter-Edgecombe, M. (February, 2005). Long-term retention of skilled visual search following severe closed-head injury. Presented at the Thirty-third annual meeting of the International Neuropsychological Society, St. Louis, Missouri.
Schmitter-Edgecombe, M., & Kayne, M. (February, 2005). Costs of predictable switch between simple cognitive tasks following severe closed-head injury. Presented at the Thirty-third annual meeting of the International Neuropsychological Society, St. Louis, Missouri.
Schmitter-Edgecombe, M., Woo, E., & Kayne, M. (November, 2004). Cross-sectional and Longitudinal Analyses of Everyday Memory Lapses in Older and Younger Adults. Presented at the Fifty-seventh annual meeting of the The Gerontological Society of America, Washington, D.C.
Chaytor, N. S., Schmitter-Edgecombe, M., & Burr, R. November, 2004). Improving the ecological validity of executive functioning tests. Presented at the Twenty-fourth annual meeting of the National Academy of Neuropsychology, Seattle, WA.
Bales, J., Ramirez, C., Ames, C., & Schmitter-Edgecombe, M. (April, 2004). Understanding text: on-line inferences and memory operations after severe closed-head injury. Presented at to the Eleventh annual meeting of the Cognitive Neuroscience Society, San Francisco, CA.
Kayne, M., Woo, E., & Schmitter-Edgecombe, M. (April, 2004). Memory self-awareness and memory self-monitoring after severe closed-head injury. Presented at the Eleventh annual meeting of the Cognitive Neuroscience Society, San Francisco, CA. 42.Schmitter-Edgecombe, M., & Wright, M. (April, 2004). Event-based prospective memory following severe closed-head injury. Presented at the Eleventh annual meeting of the Cognitive Neuroscience Society, San Francisco, CA.
Nissley, H. M., & Schmitter-Edgecombe, M. (February, 2004). The effects of divided attention on encoding and retrieval in severe closed-head injury patients. Pesented at the Thirty-second annual meeting of the International Neuropsychological Society, Baltimore, Maryland.
Woo, E., & Schmitter-Edgecombe, M. (February, 2004). Memory prediction accuracy in younger and older adults. Presented at the Thirty-second annual meeting of the International Neuropsychological Society, Baltimore, Maryland.
Wright, E., & Schmitter-Edgecombe, M. (February, 2004). Content, source, and temporal order memory for performed and observed activities following severe closed-head injury. Presented at the Thirty-second annual meeting of the International Neuropsychological Society, Baltimore, Maryland.
Schmitter-Edgecombe, M., Marks, W., Wright, M. & Ventura, M. (February, 2003). Retrieval inhibition in directed forgetting following severe closed-head injury. Paper presented at the Thirty-first annual meeting of the International Neuropsychological Society, Honolulu, Hawaii.
Woo, E. & Schmitter-Edgecombe, M. (February, 2003). Effects of age and divided attention on memory components of a conceptual task. Presented at the Thirty-first annual meeting of the International Neuropsychological Society, Honolulu, Hawaii.
Wright, M. J., Schmitter-Edgecombe, M., & Nissley, H. M. (April, 2002). Content memory and temporal order memory for performed activities following severe closed head injury. Presented at the Ninth annual meeting of the Cognitive Neuroscience Society, San Francisco, California.
Schmitter-Edgecombe, M., Woo, E., & Chaytor, N. (April, 2002). Self-ordered pointing performance following severe closed-head injury. Presented at the Ninth annual meeting of the Cognitive Neuroscience Society, San Francisco, California.
Chaytor, N., & Schmitter-Edgecombe, M. (February, 2002). Working memory and aging: A cross-sectional and longitudinal analysis. Presented at the Thirtieth annual meeting of the International Neuropsychological Society, Toronto, Ontario.
Chaytor, N., Nissley, H. M., & Schmitter-Edgecombe, M. (October, 2001). Impact of strategy use on measures of list learning and recall in older adults. Presented at the Twenty-first annual meeting of the National Academy of Neuropsychology, San Francisco, CA.
Nissley, H. M., & Schmitter-Edgecombe, M. (February, 2001). Perceptually based implicit learning following closed head injury. Paper presented at the Twenty-ninth annual meeting of the International Neuropsychological Society, Chicago, Illinois.
Schmitter-Edgecombe, M., & Nissley, H. M. (October, 2000). Effects of divided attention on automatic and controlled components of memory following severe closed-head injury. Paper presented at the Thirty-first annual meeting of the Psychonomic Society.
Whitney, P., & Schmitter-Edgecombe, M. (April, 2000). Memory deficits and language comprehension: Discourse processing following severe closed-head injury. Presented at the Seventh annual meeting of the Cognitive Neuroscience Society, San Francisco, California.
Simpson, A., & Schmitter-Edgecombe, M. (February, 2000) Evaluation of inhibitory attentional mechanisms following severe closed-head injury. Presented at the Twenty- eighth annual meeting of the International Neuropsychological Society, Denver, Colorado.
Chaytor, N., & Schmitter-Edgecombe, M. (February, 2000). The influence of strategy use on working memory performance in older adults. Presented at the Twenty-eighth annual meeting of the International Neuropsychological Society, Denver, Colorado. **received student poster award
Schmitter-Edgecombe, M., Beglinger, L., & Rogers, W. (February, 2000). Acquisition of skilled visual search performance following severe closed-head injury. Presented at the Twenty-eighth annual meeting of the International Neuropsychological Society, Denver, Colorado.
Nissely, H., & Schmitter-Edgecombe, M. (October, 1999). Strategy use of older adults on the Ruff Figural Fluency Test. Presented at the Nineteenth annual meeting of the National Academy of Neuropsychology, San Antonio, TX.
Schmitter-Edgecombe, M. (1998, October). Age-differences in the use of everyday memory strategies. Presented at the Eighteenth annual meeting of the National Academy of Neuropsychology, Washington, D.C.
Schmitter-Edgecombe, M., & Simpson, A. (1998, February). Age differences in the effects of divided attention on automatic and controlled aspects of memory: An application of the process dissociation framework. Paper presented at the Twenty-sixth annual meeting of the International Neuropsychological Society, Honolulu, Hawaii.
Karl, T. F., & Schmitter-Edgecombe, M. (1998, February). Relevancy and reasoning: Changes across the lifespan. Presented at the Twenty-sixth annual meeting of the International Neuropsychological Society, Honolulu, Hawaii.
Simpson, A., & Schmitter-Edgecombe, M. (1998, February). Memory for the recall and temporal order of activities: Aging and automaticity. Presented at the Twenty-sixth annual meeting of the International Neuropsychological Society, Honolulu, Hawaii.
Schmitter-Edgecombe, M., & Karl, T. (1997, November). Unconscious acquisition and processing of covariations in older adults. Presented at the Thirty-eighth annual meeting of the Psychonomic Society, Philadelphia, Pennsylvania.
Vesneski, M., Schmitter-Edgecombe, M., & Jones, D. (1997, November). Aging and word finding: A comparison of discourse and nondiscourse tests. Presented at the Seventeenth annual meeting of the National Academy of Neuropsychology, Las Vegas, Nevada.
Karl, T., Schmitter-Edgecombe, M., & Simpson, A. (1997, November). Everyday memory failures reported by older and younger adults. Presented at the Seventeenth annual meeting of the National Academy of Neuropsychology, Las Vegas, Nevada.
Schmitter-Edgecombe, M., & Rogers, W. A. (1997, February). Automatic process development following severe closed head injury. Presented at the Twenty-fifth annual meeting of the International Neuropsychological Society, Orlando, Florida.
Schmitter-Edgecombe, M. (1996, October). Effects of divided attention on perceptual and conceptual memory test performance: A process dissociation framework. Presented at the Thirty-seventh annual meeting of the Psychonomic Society, Chicago, Illinois.
Schmitter-Edgecombe, M. (1996, August). The effects of traumatic brain injury on automatic processing. Paper presented at the One-hundred and fourth annual meeting of the American Psychological Association as part of a symposium entitled “Cognitive Neuroscience Applications to the study of Traumatic Brain Injury”.
Schmitter-Edgecombe, M. & McConnell, J. (1995, November). The effects of divided attention on conceptual and perceptual memory tests. Presented at the Fifteenth annual meeting of the National Academy of Neuropsychology, San Francisco, California.
McConnell, J., & Schmitter-Edgecombe, M. (1995, November). Effects of severe closed head injury on metamemory. Presented at the Fifteenth annual meeting of the National Academy of Neuropsychology, San Francisco, California.
Kibby, M. Y., Schmitter-Edgecombe, M., & Long, C. J. (1995, November). The relationships between measures of auditory verbal learning and executive functioning in closed head injury. Presented at the Fifteenth Meeting of the National Academy of Neuropsychology, San Francisco, California.
Schmitter-Edgecombe, M. (1995, February). The effects of divided attention on the implicit and explicit memory performance following severe closed head injury. Paper presented at the Twenty-third annual meeting of the International Neuropsychological Society, Seattle, Washington.
Fahy, J. F., Marks, W., Schmitter-Edgecombe, M., & Long, C. J. (1995, February). Dissociations among memory tests following severe closed head injury: Memory system theory versus a processing framework. Paper presented at the Twenty-third annual meeting of the International Neuropsychological Society, Seattle, Washington.
Kibby, M. Y., Schmitter-Edgecombe, M. E., & Long, C. J. (1994, November). The California Verbal Learning Test as a measure of memory functioning in severely head- injured adults and neurologically normal controls. Presented at the Fourteenth annual meeting of the National Academy of Neuropsychology, Orlando, Florida.
Schmitter-Edgecombe, M., (1994, February). The effects of divided attention on implicit and explicit memory performance. Paper presented at the Twenty-second annual meeting of the International Neuropsychological Society, Cincinnati, Ohio.
Schmitter-Edgecombe, M., Kibby, M., & Long, C. J. (1993, October). Visual selection following severe closed head injury: Focused and divided attention. Presented at the Thirteenth annual meeting of the National Academy of Neuropsychology, Phoenix, Arizona.
Kibby, M., Schmitter-Edgecombe, M., & Long, C. J. (1993, October). The relationship between neuropsychological tests and measures of activities of daily living and work performance. Presented at the Thirteenth annual meeting of the National Academy of Neuropsychology, Phoenix, Arizona.
Schmitter-Edgecombe, M., Fahy, J. F., Whelan, J. P., & Long, C. J. (1992, November). Memory remediation after severe head trauma: Notebook training versus supportive therapy. Presented at the Twelfth annual meeting of the National Academy of Neuropsychology, Pittsburgh, Pennsylvania.
Schmitter, M. E., Fahy, J. F., Marks, W., & Long, C. J. (1991, November). Semantic priming following severe closed-head trauma: Automatic and attentional process. Presented at the Eleventh annual meeting of the National Academy of Neuropsychology, Dallas, Texas.
Schmitter, M. E., Fahy, J. F., Marks, W., & Long, C. J. (1990, November). The effects of severe closed-head trauma on three stages of information processing. Presented at the Tenth annual meeting of the National Academy of Neuropsychology, Reno, Nevada.
Fahy, J. F., Schmitter, M. E., Turgeon, A. L., & Long, C. J. (1990, November). Prospective memory after traumatic brain injury. Presented at the Tenth annual meeting of the National Academy of Neuropsychology, Reno, Nevada.
Schmitter, M. E., Jones, C. L., & Long, C. J. (1989, November). A conceptualization of the neuropsychological functions measured by simple and choice reaction time. Presented at the Ninth annual meeting of the National Academy of Neuropsychology, Washington, D. C.
Jones, C. L., Schmitter, M. E., & Long, C. J. (1989, November). The role of demographic variables in the interpretation of simple and choice reaction time. Presented at the Ninth annual meeting of the National Academy of Neuropsychology, Washington, D. C.
RECENT INVITED TALKS
Aging in place: Developing interventions for individuals experiencing memory problems and their care-partner. Presented to the Alzheimer’s Association Board of Eastern Washington (January, 2013, Spokane, WA).
A cognitive rehabilitation multi-family group intervention for individuals with mild cognitive impairment and their care-partner. Presented to the Alzheimer’s Association Research Roundtable (AARR; September, 2012, Washington DC). Selected as the 2010 International Research Grant awardee by the AARR.
Aging in place: Developing smart environment technologies for health assessment and assistance. (June, 2012; Seattle, WA). Presentation made to Horizon House retirement community in Seattle.
Aging in place: Interventions for individuals experiencing memory difficulties and their families. (May, 2012; Pullman, WA). Presentation made to the Kiwanis Club of Pullman. Update on treatment and research in dementia. (May, 2012; Pullman, WA). Presentation made as part of the Alzheimer Association series, Eastern WA.
Aging in place: Developing smart environment technologies for health assessment and assistance. (March, 2012; Birmingham Alabama, WA). Presentation made at the University of Alabama Grand Round series.
Multi-family group interventions for individuals with mild cognitive impairment and traumatic brain injury. (February, 2012; Spokane, WA). Presentation made at the WSU Spokane Chancellors’ Research Breakfast Series.
The future of aging in place: Living independently longer. (November, 2011; Pullman, WA). Presentation made to the Pullman Rotary Club.
The future of aging in place. (May, 2011; Ellensburg, WA). Presentation made at the Washington State Association of Senior Centers Conference (WSASC).
Latest treatment and research in dementia. (April, 2011; Moscow, Idaho). Presentation made as part of the Alzheimer Association series, Eastern WA.
Aging in place: Interventions for individuals experiencing memory difficulties and their families. (March, 2011; Spokane, WA). Presentation made to National Active and Retired Employees Association (NARFE).
The future of aging in place: Living independently longer. (March, 2011; Pullman, WA). Presentation made to the Pullman Senior Center.
The future of aging in place: Living independently longer. (March, 2011; Pullman, WA). Presentation made to Prostate Cancer Support Group.
Interventions for individuals experiencing memory difficulties and their families. (January, 2011; Clarkston, WA). Presentation made to Aging and Long-term Care and the Area Association on Aging.
The future of aging in place: Merging of psychology and technology to help us live independently longer. (December, 2010; Seattle, WA). WSU Innovators Series.
Development of smart environment technologies for health monitoring and assistance. (October, 2010; Vancouver, BC). Continuing Education Special Topics Presentation at the 40th annual meeting of the National Academy of Neuropsychology.
Managing mild cognitive impairment and retaining safe and independent living. (June, 2010; Bethesda, MD). Workshop on Personal Motion Technologies for Healthy Independent Living. Sponsored by NIH: NIA & NIBIB.
Aging and dementia: memory, everyday activities, and intervention. (April, 2010; Pullman, WA). Keynote presenter at the annual WSU psychology research forum.
Characterizing dementias and discussing WSU smart home research. (March 2010, Spokane WA). Presentation made to the Spokane Parkinson’s disease Association.
Alzheimer’s disease and mild cognitive impairment (June 2009; Moscow ID). Interview segment for Go Cognitive Educational Tools for Cognitive Neuroscience on line at: goCognitive.net.
Specific memory impairments in dementia and mild cognitive impairment. (June 2009; Moscow ID). Interview segment for Go Cognitive Educational Tools for Cognitive Neuroscience on line at: goCognitive.net.
Intervention strategies for patients with mild cognitive impairment and dementia. (June 2009; Moscow ID). Interview segment for Go Cognitive Educational Tools for Cognitive Neuroscience on line at: goCognitive.net.
Characterizing dementias and a memory notebook interventions. (December, 2008; Pullman, WA). Alzheimer’s dementia speaker series. Spokane Alzheimer’s Association.
Dementias and communicating with people with cognitive disorders. (October, 2007; Spokane, WA). Washington State continuing education series.
Early stage dementia: multiple memory deficits and intervention. (September, 2007; Fargo, ND). University of North Dakota psychology forum speaker’s series.
COMMITTEE WORK
Member, CMS Community-based Care Transitions Technical Expert Panel (Spring, 2013-)
Member, Graduate School Scholarship Review Committee (Spring, 2013-)
Board Member, Association of Doctoral Training in Clinical Neuropsychology (2012-)
Chair, Health Search Committee (Fall, 2012)
Member, Clinical Search Committee (Fall, 2012)
Member, Provost’s Advisory Committee on Tenure and Promotion (Fall, 2011 – )
Chair, Marianna Merritt and Donald S. Matteson Distinguished Professorship in Foreign Language and Cultures (2011-2012)
Washington State University P.O. School of Electrical Engineering and Computer Science (EECS)
P.O. Box 642752
Office: 509-335-8520
Fax: 509-335-3818
E-mail: shirazi@wsu.edu
URL: www.eecs.wsu.edu
Personal Contact Information:
Box 1410
Pullman, Washington 99164-2752
Cell Phone: 509-432-6257
Personal email: shirazi54@gmail.com
Education:
Ph.D., Computer Science, School of Electrical Engineering and Computer Science, University of Oklahoma, Jan 1981 to Aug 1985,
Supervising Professor: A. R. Hurson.
M.S., Computer Science, School of Electrical Engineering and Computer Science, University of Oklahoma, Aug 1977 to Dec 1980,
Supervising Professor: B. K. Walker.
B.S., Business Administration, Tehran, Iran, August 1972 to May 1976.
Professional experience:
Washington State University, School of Electrical Engineering and Computer Science (EECS), Huie-Rogers Endowed Chair Professor and Director, 2005 – present.
Annual state operating budget of $4M, approx. $500K in private funds expenditures, and $6M in research expenditures (total of approx. $10M).
2005 – present performance measures:
Increase in annual research expenditures: from $2.5M to $6M (140% increase)
Increase in number of graduate students: from 113 to 177 (60% increase; also, going from 40% PhD students to 60% PhD students now)
Increase in number of undergraduate students: from 552 to 822 (50% increase)
While during the same time, due to budget cuts, we have had a:
Decrease in number of faculty: from 44 to 39 (12% decrease)
Decrease in number of staff: from 11.5 to 8.5 (26% decrease)
Major Fundraising and Development:
A $200K donation to an endowed scholarship fund, 2013
A $150K donation to complete a $1M living trust Endowed Chair, June 2006
A $2.1M gift (in hardware, software, and services) over 3 years by Proofpoint, Inc., May 2008
A $150K gift by Puget Sound Energy to establish a new “Renewable Energy” course, Aug. 2008
The $900K John and Anna Scott Scholarship and Fellowships endowment, Sept. 2008
A $500K gift by Avista Utilities to promote the Power Engineering program, Jan. 2011
Establishing Director’s Excellence Fund (approx. $100K annually)
Formation of a power industry consortium to (financially) help revitalize the electric power program at WSU
Accomplishments as the School Director:
Have lead in defining the vision of becoming a top-tier EECS program providing experience-enhanced education and conducting interdisciplinary research in engineering and computing.
Have lead in defining a 4-pillar strategic plan for achieving the EECS vision based on:
Focusing on high priority areas of Power Engineering in EE and AI and Smart Environments in CS
Establishing strategic partnerships with industry and national labs to promote internships, job opportunities, and collaborative research
Focusing our graduate programs on recruiting high quality PhD students.
Received full 6-yr ABET accreditation for all EECS programs (Electrical Engineering, Computer Science, and Computer Engineering) in 2008.
University of Texas at Arlington, Department of Computer Science and Engineering (CSE), Professor and Chairperson, 1999 – 2005.
CSE@UTA Department Snapshot Profile in Fall 2004:
26 tenure/tenure-track faculty members (research, teaching, service.)
14 full-time, non-tenure track faculty members (teaching, service.)
4 part-time, adjunct faculty members.
472 Undergraduate, 398 Masters, 89 PhD students.
Annual research grants in 2003-04: $3.8M (3 year average: $3.2M).
Active research grants 2003-04: $6.32M.
Accomplishments as the Department Chair:
Initiated the “Top 25 Initiative” to improve the quality and stature of the CSE@UTA Department (secured $2M commitment from UTA), 2000.
Increased number of faculty by 60% since 2000.
Tripled the number of PhD students since 2000.
More than tripled the departmental annual research funding since 2000.
Helped secure a $0.5M Federal Appropriation (earmark) funding for research in security.
Established IRIS: Institute for Research In Security.
Established Pervasive computing, Security, and Bioinformatics stems in the department.
Initiated the CSE@UTA Industry Advisory Board Endowed Student Fellowship (currently $120K raised), 2001.
Principle investigator on an $840,000 grant from the UT System to establish a joint UTA/UTD on-line CS/EE Masters degree through the UT System virtual university, the TeleCampus, 1999.
The program has ranked as one of the top on-line engineering degree offerings by the US News and World Report.
Established MavPad, a smart home showcase/ laboratory, in a university apartment on UTA campus, 2002.
Obtained full accreditation for the B.S. CSE degree by both the Engineering Accreditation Commission (EAC) and Computing Accreditation Commission (CAC) of the ABET, 2001.
Initiated the CSE@UTA High School Robot Programming Contest to promote computer science and engineering disciplines at high schools (and as a recruiting tool), 2000.
Established Chairman’s Scholarship for National Merit Scholars (2001) and Chairman’s PhD Students Fellowship (2000).
Helped in establishing two new Bachelor of Science degrees: B.S. in Computer Science (in addition to the existing B.S. in Computer Science and Engineering) and B.S. in Software Engineering, 2001.
Obtained full accreditation for the B.S. CS and B.S. SE degrees by the CAC and EAC ABET commissions,
respectively, 2004.
Consultant to Johns Hopkins University, DARPA Project on Distributed Real-time Systems, Jan. 1, 2004 to May 31, 2005.
University of Texas at Arlington, Department of CSE, Professor and Associate Chairperson, 1996 -1999.
University of Texas at Arlington, Department of CSE, Professor (1996 – Present), Associate Professor (1990 – 1996).
AFOSR, Rome Lab, Summer Research Faculty Fellow, 1990.
Southern Methodist University, Department of Computer Science and Engineering, Assistant Professor, 1985 – 1990.
Southern Methodist University, Coordinator and Advisor for the Computer Engineering Program, 1989 – 1990.
SGS-Thomson, Inc., Consultant, 1988.
University of Oklahoma, Graduate Teaching Assistant, 1982 – 1985.
Research experience and interest:
Sustainable Computing and use of computing for sustainability; Pervasive Computing (system design and formalization, middle-ware support); Distributed systems (real- time systems, dynamic resource and QoS management); Parallel processing (software tools for multi-threaded systems, scheduling and allocation); and Computer architecture (dataflow systems and memory management).
TeachingActivities
Undergraduate courses taught:
CptS 421 and 423 (senior), Software Design Project I and II (Senior Design Projects)
CptS 402 (senior), Social and Professional Issues in Computer Science, Washington State University.
CSE 2441 (Sophomore), Computer Organization and Logic Design, University of Texas at Arlington.
CSE 3322 (Junior), Computer Architecture I (including Distance Delivery), University of Texas at Arlington.
CSE 4316 (Senior), Senior Design Projects I, University of Texas at Arlington.
CSE 4317 (Senior), Senior Design Projects II, University of Texas at Arlington.
CSE 4392 (Senior), Parallel Processing, University of Texas at Arlington.
CSE 2340 (Sophomore), Assembly Language Programming and Machine Organization, Southern Methodist University.
Developed a new parallel processing laboratory for the Senior Design Courses (CSE 4316/17) with support from E-Systems, Inc. and the National Science Foundation.
Developing CSE 5350 (Computer Architecture II) for distance delivery via the UT System TelCampus (web delivery).
Participation in organizations or activities concerned primarily with teaching:
Participated in the NSF/TCPP Planning Workshop on Curriculum Standards for Parallel and Distributed Computing, Washington DC, Feb. 2010.
Behrooz Shirazi, “A Senior Design Project Laboratory: Experiments in Parallel Processing,” American Society of Engineering Education Conference and Exposition, 1995.
B. Weems, K. Kavi, and B. Shirazi, “HIPP: An Honors Program in Parallel Processing,”
The International Journal of Engineering Education, Vol. 11, Nos 4 and 5, 1995, pp. 329-335.
Member of the Education Committee of the Texas Computer Industry Council (1985- 1987).
Supervision of graduate theses and dissertation:
List of Ph.D. students, dissertation titles, and graduation dates:
Shervin Hajiamini: “Models for Evaluating Power Efficiency in Multi-Core Systems,” School of EECS, WSU, Expected date of graduation: Dec 2014.
Jacob Murray: “Combined Processor and Network Power Efficiency in Multi-Core Systems,” School of EECS, WSU, Expected date of graduation: May 2014.
Teng Lu: “Power-aware High Performance Computing,” School of EECS, WSU, Expected date of graduation: Dec 2013.
Nina Picone: “Adaptive Context Modeling And Situation Awareness in Wireless Sensor Networks,” School of EECS, WSU, Dec 2010, Currently at Lewis and Clark State College, ID.
Swaroop Kalasapur: “Graph Theoretic Modeling of Community Computing,” Co-advisor with Mohan Kumar, Dept. of CSE, UTA, May 2005, Currently at Samsung America.
Meo-jim Kim: “Service Discovery in Ad hoc Networks,” Co-advisor with Mohan Kumar, Dept. of CSE, UTA, May 2005, currently at Ubiquitous Sensor Networks, South Korea.
Charles Cavanaugh: “QoS Management in Dynamic Distributed Real-time Systems,” Co-advisor with L. Welch, Dept. of CSE, UTA, Aug. 2000, Currently Assistant Professor of Computer Science at University of Louisiana.
Eui-Nam Huh: “Resource Management in Dynamic Distributed Real-time Systems,” Co- advisor with L. Welch, Dept. of CSE, Ohio University, Aug. 2000, Currently Assistant Professor of Computer Science at Sahmyook University, Korea.
Binoy Ravindran: “Middle-ware Support for Adaptive QoS and Resource Management in Dynamic Distributed Real-time Systems,” Co-advisor with L. Welch, Dept. of CSE, UTA, May 1998, Currently Assistant Professor of Electrical and Computer Engineering at Virginia Tech.
Gyungleen Park: “Modeling and Evaluation of Task Scheduling Techniques in Parallel and Distributed Systems,” Dept. of CSE, UTA, Aug. 1997, Currently Associate Professor of Computer Science at Cheju National University, Korea.
Swu Yih: “A Model for Analysis and Design of Licensable Safety-Critical Computing Systems,” Dept. of CSE, SMU, Aug. 1996, Currently Member of Technical Staff, Institute of Nuclear Energy Research, Atomic Energy Commission, Taiwan, Republic of China.
Hsing Bung Chen: “A General Software Development Environment for Parallel Task Scheduling and Performance,” Dept. of CSE, UTA, Aug. 1994, Currently Member of Technical Staff, Lucent Technologies, Denver, Colorado.
Chungching Wang: “A Dataflow-Based Neural Net Engine,” Dept. of CSE, SMU, Aug. 1994, Currently: Member of Technical Staff, NEC, Dallas, Texas.
Jentien Yen: “A Combined Memory Management and Address Translation Scheme,” Dept. of CSE, SMU, Dec. 1991, Currently: Member of Technical Staff, IBM Corp., Austin, Texas.
S. Krishnaprasad: “Concurrent Processing with Result Sharing: A Unified View of Efficient Computations,” Dept. of CSE, SMU, July 1991, Currently: Professor of Computer Science at Jacksonville State University, Alabama.
David Lin: “Efficient Environmental Support for Heterogeneous Computing,” Dept. of CSE, SMU, Dec. 1990, Currently: Member of Technical Staff, IBM Corp., Austin, Texas.
Mingfang Wang: “A Generalized Approach to the Task Scheduling Problem,” Dept. of CSE, SMU, August 1989, Currently: Professor of Math & Computer Science, University of Central Arkansas, Conway, Arkansas.
List of M.S. students, thesis titles, and graduation dates:
Rajath Hedge: “Evaluation of Sustainability in High Performance Computing Systems,” School of EECS, WSU, Expected graduation date: May 2012.
Rashmi Parthasarathy: “Secured Over The Air Programming (OTAP) in iMote2-based Sensor Networks,” School of EECS, WSU, May 2010.
Lohith Anusuya Rangappa: “Context-awareness and Network Priority Management in Sensor Networks,” School of EECS, WSU, August 2009.
Animesh Dalakoti: “Priority-based QoS Management in Network Routing,” School of EECS, WSU, May 2007.
Kamran Shafiei: ” A Framework for Standardized Communications and Formal Specification and Modeling of Entities in Community-based Computing using XML,” Dept. of CSE, UTA, December 2003.
Shahzad Nazar: “Performance/Energy Efficiency Analysis of Register Files in Superscalar Processors,” Dept. of CSE, UTA, December 2003.
Chirag Pandya: “Deconfliction and Uneven Load Distribution in DeSiDeRaTa,” Dept. of CSE, UTA, May 2002.
Victor Visuasuresh Govindaswamy: “A Process to Provide Scalability, survivability, Timeliness and Profiling Features to Applications,” Co-Advisor with Lonnie Welch, Dept. of CSE, UTA, Aug 2001.
Kannan Bhoopathy: “A Software Development Methodology to Support Distributed Computing Clusters,” Dept. of CSE, UTA, Aug 2000.
Padma Pidaparthy: “Cooperative Resource Management in DeSiDeRaTa,” Co- Advisor with Lonnie Welch, Dept. of CSE, UTA, May 2000.
Prasanna Anantha-Raju: “Design and Implementation of an Object- Oriented, CORBA- Enabled Sensing Path of Dynamic Real-time Benchmark for DeSiDeRaTa Middleware,” Co-Advisor with Lonnie Welch, Dept of CSE, UTA, May 2000.
Hyung-Bung Ban: “A Graphical User Interface and File Management System for PARSA Environment,” Dept. of CSE, UTA, May 1999.
Jayandraw Gowishankar: “A Generalized Technique for Generating and Executing High Performance Applications,” Dept. of CSE, UTA, May 1999.
Byung Yong Sung: “A General Purpose Framework for Executing High Performance Software in Java,” Dept. of CSE, UTA, Aug. 1998.
Suresh Basireddy: “Effect of Communication Delays on Static Scheduling,” Dept. of CSE, UTA, May 1995.
Shami Ahuja: “A Comparative Study of Working Set Cache Models,” Dept. of CSE, UTA, Aug. 1994.
Yogesh Mehta: “Deterministic Execution Time Prediction of Programs/Tasks on the Intel i860 Architecture,” Dept. of CSE, UTA, May 1994.
Mihir Maniar: “C2IF1 – A Compiler to Convert a Subset of C Language to IF1,” Dept. of CSE, UTA, Dec. 1993.
Jessica Yeh: “Dataflow vs. Superscalar Pipelined Processing,” Dept. of CSE, UTA, Dec. 1992.
Kamalesh Ruparel: “A Built-in Self Test for a Pipelined Multiplier,” Dept. of CSE, SMU, Dec. 1989.
Shahab Abdullah: “A SISAL Compiler for a Hypercube-based Dataflow Machine,” Dept. of CSE, SMU, May 1989.
Daniel Locey: “A Comparison of the Architectures of Commercially Available Central Office Switches for an Integrated Services Digital Network,” Dept. of CSE, SMU, May 1989.
Young-Deok Song: “A Parallel Exchange Sort Algorithm and Its VLSI Design,” Dept. of CSE, SMU, May 1988.
Pradipto Mukherjee: “A VLSI Implementation of a Pipelined Multiplier for Systolic Convolution,” Dept. of CSE, SMU, Nov. 1987.
Leticia Furin: “The Simulation of a Hypercube-Based Dataflow Machine,” Dept. of CSE, SMU, Sept. 1987.
List of M.S. students, project titles, and graduation dates:
Sandeep U Menon: “Implementation of RC-EDF Scheduler and Its Comparison with FQ Scheduling Techniques,” Co-Advisor with David Levine, Dept. of CSE, UTA, May 2001.
Krishna Somu: “Development of a Test Tool for Auto Installation and Testing,” Co- Advisor with David Levine, Dept. of CSE, UTA, Dec 2000.
Bilal Wahid: “A Policy Based Framework for Protection of Mobile Agents,” Co-Advisor with David Levine, Dept. of CSE, UTA, Dec 2000.
Sudhir Kothagunda: “Design and Development of an Automatic GSM Phone Feature Testing Tool,” Dept. of CSE, UTA, Aug 2000.
Kishore Thota: “Performance Evaluation Tool for GPRS,” Dept. of CSE, UTA, Aug 2000.
Md Manmunul Islam: “Enhancements to a Software Development Tool for Developing Software for Multi-Threaded Systems,” Dept. of CSE, UTA, May 2000.
Hossain Tauhidur Rahman: “Generation and Implementation of a Software Testing Methodolgoy,” Dept. of CSE, UTA, May 2000.
Zubair Saifullah: “Online Incident Management System,” Dept. of CSE, UTA, Dec 1999.
Ajay Honnur: “Design and Implementation of a Synchronous Replication Algorithm for Maintaining Consistency in Replicated Databases ,” Dept. of CSE, UTA, Dec 1999.
Mohammad Hasan Khan: “Location Management Algorithms in Mobile Wireless Network,” Dept. of CSE, UTA, Dec 1999.
Sathyanarayanan Thiruvallarari: “NetInspector,” Dept. of CSE, UTA, Dec 1999.
Asha R. Talasila: “A Methodology for Developing Distributed, Multithreaded Objects Using PARSA,” Dept. of CSE, UTA, Dec 1999.
Anil K. Dara: “Protocol Analyzer,” Co-Advisor with Ramesh Yerraballi, Dept. of CSE, UTA, Aug. 1999.
Masud Karim Khan: “Study and Evaluation of Dynamic Channel Allocation Algorithms in Wireless Mobile Communication Systems,” Dept. of CSE, UTA, Aug. 1999.
Madhu Ganta: “A Web-Based Virtual Memory System,” Dept. of CSE, UTA, Aug. 1999.
Vamsee K. Pitchuka: “A Graphical User Interface for the STRAS Tool,” Dept. of CSE, UTA, Aug. 1999.
Santosh Thammi: “Memory Analysis Using a Dimensioning Tool – STRAS,” Dept. of CSE, UTA, Aug. 1999.
Javid Kamal: “Testing of Central Office ADSL CODEC’s,” Dept. of CSE, UTA, Aug. 1999.
Narayan Bethmangalkar: “A Communication Infrastructure for Web- enabling C Applications using PARSA,” Dept. of CSE, UTA, Dec. 1998.
Prathiba Cochin: “A User Interface for Web-enabling C Applications using PARSA,” Dept. of CSE, UTA, Dec. 1998.
Suryanarayanan Gobichettipalayam: “An External Interface Module for an Embedded Gateway Device,” Dept. of CSE, UTA, Aug. 1998.
Srividya Subramanyam: “Java Support for Internet Resource Sharing and Web-based Learning,” Co-Supervised with Dr. L. Peterson, Dept. of CSE, UTA, Aug. 1998.
Xiaojun Yan: “QoS Management in Distributed Real-time Systems,” Co- Supervised with Dr. L. Peterson, Dept. of CSE, UTA, Aug. 1998.
Bharath Yanamula: “A Dynamic Benchmark Suite for Distributed Real-time Systems,” Co-Supervised with Dr. L. Peterson, Dept. of CSE, UTA, Aug. 1998.
Kavita Rao: “User Interface for a Dynamic Resource Management System,” Co- Supervised with Dr. L.R. Welch, Dept. of CSE, UTA, May 1998.
Jin Song: “A Measurement and Metrics Toolset for Unix,” Co-Supervised with Dr. L.R. Welch, Dept. of CSE, UTA, May 1998.
Hari Kishore Polisetty: “An Enhanced Implementation of the PARSA Performance Assessment Tool,” Dept. of CSE, UTA, Aug. 1997.
Venugopal Reddy Sathu: “A Method for Generating Multi-Threaded Applications from the PARSA Parallel Program Development Environment,” Dept. of CSE, UTA, Aug. 1997.
Ranjeet Verma: “A Method for Generating Multi-Threaded Applications from the PARSA Parallel Program Development Environment,” Dept. of CSE, UTA, Dec. 1997.
Jianhua Su: “A Control Panel for the PARSA Performance Assessment Tool,” Dept. of CSE, UTA, Dec. 1995.
Chandava Ramana: “A Performance Animation Tool for the PARSA Tool Set,” Dept. of CSE, UTA, Dec. 1995.
Honggen Qi: “A Scheduling Editing Tool for the PARSA Tool Set,” Dept. of CSE, UTA, Dec. 1995.
Vinay Gadiyar: “A Parallel Graphical C Compiler for the PARSA Tool Set,” Dept. of CSE, UTA, Dec. 1995.
Jie Yuan: “A Distributed Network Performance Animation Tool,” Dept. of CSE, UTA, Dec. 1994.
Guor-Shyong Hwang: “A Demo Tool for PARSA,” Dept. of CSE, UTA, Aug. 1994.
Hua-Chieh Chiu: “A Mercury Architecture in PAE,” Dept. of CSE, UTA, Aug. 1994.
Jan-San Jue: “A Graphical Animation Tool for Evaluation of Load Balancing Policies in Distributed Multiprocessor Systems,” Dept. of CSE, UTA, Aug. 1994.
Stefan Ronngren: “Static Multiprocessor Scheduling of Periodic Real-Time Tasks with Predecessor Constraints and Communication Costs,” Dept. of CSE, UTA, May 1994.
Ming-Jen Chiou: “A Performance Analysis Tool for Evaluation of Load Balancing Policies in Distributed Multiprocessor Systems,” Dept. of CSE, UTA, May 1994.
AcademicKeys Who’s Who in Engineering Education, 2007.
International Who’s who of Professional Management, Who’s Who Historical Society, 2001-02, pp. 1-487.
Recipient of the “1998 Outstanding Research Award,” College of Engineering, UTA – each year only one awarded at the college level (approximately 100 faculty members in the college).
Recipient of the “IEEE Computer Society Meritorious Service Award for his distinguished services in organizing the Symposium on Parallel and Distributed Processing for over 8 years,” IEEE 1996.
Recipient of the “1995 Lockheed Robert Q. Lee Award in recognition of Excellence in Engineering Teaching,” College of Engineering, UTA – each year only one awarded at the college level (approximately 100 faculty members in the college).
Recipient of the “IEEE Outstanding Service to Computer Society Award,” IEEE Dallas Section, 1990 and 1993.
Recipient of the “Outstanding Graduate Faculty Award- Computer Science and Engineering 1989-1990,” School of Engineering and Applied Science, Southern Methodist University.
Nominated for the 1990 Alumni Association Faculty Award for Excellence, Southern Methodist University, April 1990.
Recipient of the “Outstanding Graduate Faculty Award- Computer Science and Engineering 1987-1988,” School of Engineering and Applied Science, Southern Methodist University.
Selected as the “1985 Outstanding Graduate Teaching Assistant” in the College of Engineering, University of Oklahoma.
Recipient of the “1984 Outstanding Graduate Student Award,” University of Oklahoma, School of Electrical Engineering and Computer Science.
Winner of the Graduate Research Presentation contest for the Engineering College, January 1984, University of Oklahoma.
Publicationsand Seminars
Life-time citation count of 1000+ (Google Scholar)
Books and Book Chapters:
Medha Bhadkamkar and Behrooz Shirazi, “Power Efficient Strategies for Storage Systems,” Handbook of Energy-Aware and Green Computing, Editors: Sanjay Ranka and Ishfaq Ahmad, Chapman and Hall/CRC Press, 2012.
E. Jean, S. Sedigh, A. R. Hurson, and B. A. Shirazi, “Tools and Techniques for Dynamic Reconfiguration and Interoperability of Pervasive Systems,” Chapter 2 in Pervasive Computing and Networking, Mohammad S. Obaidat, Mieso Denko, and Isaac Woungang (Eds.), John Wiley & Sons, Ltd., UK, 2012.
Nina Peterson , Lohith Anusuya-Rangappa1, Behrooz A. Shirazi, WenZhan Song, Renjie Huang, Daniel Tran, Steve Chien, and Rick LaHusen. “Volcano Monitoring: A Case Study in Pervasive Computing” in Pervasive Computing: Innovations in Intelligent Multimedia and Applications in Computer Communications and Networks series published by Springer Verlag, Germany, 2008, edited by Aboul Ella Hassanien, Ajith Abraham, and Hani Hagras.
A.R. Hurson, Y. Jiao, and B. Shirazi, “Broadcasting a Means to Disseminate Public Data in a Wireless Environment ─ Issues and Solutions,” in Advances in Computers, Editor: Marvin Zelkowitz, Vol. 67, May 2006, pp. 1-85.
H. Alex, M. Kumar and B. Shirazi, “Service Discovery in Wireless and Mobile Networks,” Wireless Information Highways, Editors: Dimitrios Katsaros, Alexandros Nanopoulos and Yannis Manolopoulos, Idea Group Inc. Publisher, 2006.
B. Sung, M. Kumar, and B. Shirazi, “Flexible and Adaptive Services in Pervasive Computing,” in Advances in Computers, 63: Parallel, Distributed, and Pervasive Computing, Editors: Marvin Zelkowitz and Ali Hurson, Elsevier, 2005.
L.R. Welch, P.A. Shirolkar, S.M. Anwar, T. Sergeant, B.A. Shirazi, C. Bruggeman, B. Ravindran, P. Werme, M.W. Masters, R.D. Harrison, W. Mills, T. Do, J. Lafratta, S. Sharp, G. Bilowus, M. Swick, J. Hoppel, and J. Caruso, “Real-time Resource Management Middleware: Open Systems and Applications,” chapter in High Performance Cluster Computing: Programming and Applications, Vol. 2, pages 418-439, Printice Hall PTR, NJ, 1999.
L.R. Welch, M.W. Masters, L.A. Madden, D.T. Marlow, P.M. Irey IV, P.V. Werme, and B. Shirazi, “A Distributed System Reference Architecture for Adaptive QoS and Resource Management,” Lecture Notes in Computer Science, #1586, Springer Verlag, Parallel and Distributed Processing, April 1999, pp. 1317-1326.
B. Shirazi, LR. Welch, B. Ravindran, C. Cavanaugh, B. Yanamula, R. Brucks, E. Huh, ” DynBench: A Dynamic Benchmark Suite for Distributed Real-Time Systems,” Lecture Notes in Computer Science, #1586, Springer Verlag, Parallel and Distributed Processing, April 1999, pp. 1335-1342.
B. Ravindran, L.R. Welch, C. Bruggeman, B. Shirazi, C. Cavanaugh, “A Resource Management Model for Multidimensional, Dynamic Real-Time Systems,” Lecture Notes in Computer Science, #1388, Springer Verlag, Parallel and Distributed Processing, March 1998, pp. 931-936.
G.L. Park, B. Shirazi, J. Marquis, “A Comparative Study of Static Scheduling with Task Duplication for Distributed Systems,” Lecture Notes in Computer Science, #1253, Springer Verlag, Solving Irregularly Structured Problems in Parallel, June 1997, pp. 123- 134.
B. Shirazi, A.R. Hurson, and K. Kavi, “Scheduling and Load Balancing in Parallel and Distributed Systems,” IEEE Press, 1995.
B. Shirazi (Editor), “Proceedings of the First Annual IEEE Symposium on Parallel and Distributed Processing,” SMU Printing Services, 1989.
A.R. Hurson, L. Miller, S. Pakzad, M. Eich, and B. Shirazi, “Architectural Aspects of Database Machines,” Advances in Computers, Academic Press, Vol. 28, 1989, pp. 107- 151.
B. Shirazi, “WDDM – A Wafer-Scale Data Driven Multiprocessor”, Ph.D. Dissertation, University of Oklahoma, August 1985.
B. Shirazi, “Associative Memory Machines”, Master’s Thesis, University of Oklahoma, December 1980.
Journal Articles:
Renjie Huang, Wen-Zhan Song, Mingsen Xu, Nina Peterson, Behrooz Shirazi, Richard LaHusen, “Real-World Sensor Network for Long-Term Volcano Monitoring: Design and Findings,” IEEE Trans. on Parallel and Distributed Systems, Vol 23, Issue 2, 2012.
Renjie Huang, Wen-Zhan Song, Mingsen Xu, Behrooz Shirazi, Guoliang Xing, “Localized QoS-Aware MAC Protocol for Real-time Dynamic Sensor Networks,” Ad Hoc & Sensor Wireless Networks, Vol 13, Issue 1, 2011.
Rashmi Parthasarathy, Behrooz A. Shirazi, Nina Peterson, WenZhan Song, Ali Hurson, “Management and Security of Remote Sensor Networks in Hazardous Environments using Over the Air Programming,” Information Systems and e- Business Management, 2011.
Wen-Zhan Song, Behrooz Shirazi, Rick LaHusen, Sharon Kedar, Steve Chien, Frank Webb, Ashley Davies, Aaron Kiely, Joshua Doubleday, Renjie Huang, Mingsen Xu, David Pieri, Nina Peterson, John Pallister, Dan Dzurisin, Seth Moran, Mike Lisowski, “Optimized Autonomous Space In-situ Sensor-Web for Volcano Monitoring,” IEEE Journal of Selected Topics in Earth Observations and Remote Sensing (JSTARS), 2010.
WenZhan Song, Renjie Huang, Mingsen Xu, Behrooz Shirazi, and Rick Lahusen, “Design and Deployment of Sensor Network for Real-time High-fidelity Volcano Monitoring,” IEEE Trans. On Parallel and Distributed Systems, 2010.
Aaron.B.Kiely, Mingsen Xu, WenZhan Song, Renjie Huang, Behrooz Shirazi, “Adaptive Linear Filtering Compression on Realtime Sensor Networks,” The Computer Journal, 2010.
Mingsen Xu, Yang Peng, Renjie Huang, Wenzhan Song, Behrooz Shirazi, Richard Lahusen, Aaron Kiely, Nina Peterson, Andy Ma, Lohith Anusuya- Rangappa, Michael Miceli, Devin McBride, “Design and Evaluation of Smart Sensing Components in a Volcanic Monitoring Sensor Network,” Pervasive and Mobile Computing Journal, 2009.
WenZhan Song, Renjie Huang, Behrooz Shirazi, Richard LaHusen, “TreeMAC: Localized TDMA MAC Protocol for High-throughput and Fairness in Sensor Networks,” Pervasive and Mobile Computing Journal, PMC, 2009, Vol 5, No 6, PP: 750-765.
Swaroop Kalasapur, Mohan Kumar, Behrooz Shirazi, “Dynamic Service Composition in Pervasive Computing,” IEEE Trans. On Parallel and Distributed Systems, July 2007, pp. 907-918.
Yu Jiao, Ali R. Hurson, Behrooz Shirazi, “Online Adaptive Application-Driven WLAN Power Management,” Pervasive and Mobile Computing Journal, Elsevier, Vol. 3, No. 3, June 2007, pp. 254-275.
Wen-Zhan Song, Fenghua Yuan, Richard LaHusen and Behrooz Shirazi, “Time- Optimum Packet Scheduling for Many-to-One Routing in Wireless Sensor Networks,” International Journal of Parallel, Emergent and Distributed Systems (JPEDS), Volume 22, Issue 5 January 2007 , pages 355 – 370.
Mijeom Kim, Mohan Kumar, and Behrooz Shirazi, “Service Discovery using Volunteer Nodes in Heterogeneous Pervasive Computing Environments Pervasive and Mobile Computing,” Pervasive and Mobile Computing Journal, Elsevier, Vol.2, Issue 3, 2006, pp. 313-343.
Ali R. Hurson, Angela Maria Muñoz-Avila, Neil Orchowski, Behrooz Shirazi, and Yu Jiao, “Power-aware Data Retrieval Protocols for Indexed Broadcast Parallel Channels,” Pervasive and Mobile Computing Journal, Elsevier, Vol 2, No. 1, Feb 2006, pp. 85-107.
H. Alex, M. Kumar, and B. Shirazi, “MidFusion: An Adaptive Middleware for Information Fusion in Sensor Network Applications”, Information Fusion Journal, Special Issue on Information Fusion in Distributed Sensor Networks, Elsevier, July 2005.
Mohan Kumar, Behrooz Shirazi, Sajal K. Das, Byung Sung, David Levine, and Mukesh Singhal, “PICO: A Framework for Pervasive Computing,” IEEE Pervasive Computing, July-Sept 2003, pp. 72-79.
Binoy Ravindran, Ravi K. Devarasetty, and Behrooz Shirazi, “Adaptive Resource Management Algorithms for Periodic Tasks in Dynamic Real-Time Distributed Systems,” Journal of Parallel and Distributed Computing, Volume 62, Issue 10, October 2002, Pages 1527-1547.
M. Conti, M. Kumar, S.K. Das, B. Shirazi, “Quality of Service Issues in Internet Web Services,” IEEE Trans. On Computers, Vo. 51, No. 6, June 2002, pp. 593-594.
B. Shirazi, LR. Welch, B. Ravindran, C. Cavanaugh, B. Yanamula, R. Brucks, E. Huh, ” DynBench: A Benchmark Suite for Dynamic Real-Time Systems,” Journal of Parallel and Distributed Computing Practices, March 2000, pp. 89-108.
B. Ravindran, L.R. Welch, and B. Shirazi, “Resource Management Middleware for Dynamic, Dependable Real-Time Systems,” Journal of Real-time Systems, Vol 20, 2000, pp.183- 196.
L.R. Welch, Paul Werme, B. Shirazi, C. Cavanaugh, Larry Fontenot, Eui-Nam Huh, and Michael Masters, “Load Balancing in Dynamic Distributed Real-Time Systems,” the CLUSTER COMPUTING: Journal of Networks, Software and Applications, Vol 3, 2000, pp 125 –138.
L.R. Welch, B. Shirazi, B. Ravindran, F. Kamangar, “Instrumentation, Modeling, and Analysis of Dynamic, Distributed Real-time Systems,” Int’l Journal of Parallel and Distributed Systems and Networks (IJPDSN), Special issue on Measurement of Program and System Performance, Vol. 2, No. 2, 1999.
S.M. Yoo, H.Y. Youn, and B. Shirazi, “An Efficient Task Allocation Scheme for 2D Meshes and Tori,” IEEE Trans. On Parallel and Distributed Systems, Vol. 8, No. 9, Sept. 97, pp. 934-942.
A.R. Hurson, K. Kavi, B. Shirazi, and B. Lee, “Cache Memories for Dataflow Systems,” IEEE Parallel and Distributed Technology, Vol. 4, no. 4, Winter 1996, pp. 50-64.
K. Kavi, B. Wyatt, and B. Shirazi, “Evaluation of Dynamic Inheritance in Distributed Environments,” Journal of Microcomputer Applications, Vol. 15, no. 1, 1996, pp. 26-37.
B. Weems, K. Kavi, and B. Shirazi, “HIPP: An Honors Program in Parallel Processing,” International Journal of Engineering Education, Vol. 11, Nos 4 and 5, 1995, pp. 329-335.
B. Shirazi, H.Y. Youn, and D. Lorts, “Evaluation of Static Scheduling Heuristics for Real- Time Multiprocessing,” Parallel Processing Letters, Special Issue on Partitioning and Scheduling, Vol. 5, No. 4, 1995, pp. 599-610.
S. Yih, C.F. Fan, and B. Shirazi, “Anatomy of Safety-Critical Computing Problems,” Journal of Reliability Engineering and System Safety, Vol. 50, No. 1, Oct. 1995, pp. 69- 78.
B. Shirazi, H.B. Chen and J. Marquis, “Comparative Study of Task Duplication Static Scheduling vs. Clustering and Non-Clustering Techniques,” Journal of Concurrency: Practice and Experience, John Wiley & Sons, Aug. 1995, Vol. 7, No. 5, pp. 371-389.
K.T. Johnson, A.R. Hurson, and B. Shirazi, “General Purpose Systolic Arrays: A Survey,” IEEE Computer, Nov. 1993, pp. 20-31.
C.N. Zhang, B. Shirazi, and D.Y.Y. Yun, “Parallel Designs for Binary/Residue Number Conversions,” Journal of Symbolic Computation, August 1993, pp. 451-462.
B. Shirazi and A.R. Hurson, “Scheduling and Load Balancing,” Journal of Parallel and Distributed Computing, Dec. 1992, pp. 271-275.
K. Kavi and B. Shirazi, “Dataflow Architectures: Are They Commercially Viable?” IEEE Potentials, Oct. 1992, pp. 28-32.
B. Lee, A.R. Hurson, and B. Shirazi, “A Hybrid Scheme for Processing Data Structures in a Dataflow Environment,” IEEE Trans. on Parallel and Distributed Systems, Vol. 3, No. 1, January 1992, pp. 83-96.
B. Shirazi, M.F. Wang, and G. Pathak, “Analysis and Evaluation of Heuristic Methods for Static Task Scheduling,” Journal of Parallel and Distributed Computing, Vol. 10, No. 3, 1990, pp. 222-232.
B. Shirazi, D. Lin, S. Abdullah, and L. Furin, “Performance Evaluation of a Hypercube- Based Dataflow Machine,” Int’l Journal of Mini and Microcomputers, Vol. 11, No. 3, 1989, pp. 1-12.
B. Shirazi, P. Mukherjee, and Y.H. Hu, “VLSI Implementation of a Pipelined Multiplier for Systolic Convolution,” Int’l Journal of Computer Aided VLSI Design, Vol. 1, No. 2, 1989, pp. 183-202.
B. Shirazi and M. F. Wang, “Heuristic Functions for Static Task Allocation,” Journal of Microprocessing and Microprogramming, Vol. 27, 1989, pp. 187-194.
T. Gralewicz, B. Shirazi, and A.R. Hurson, “GIF1: A Graphical Parallel Language,” Journal of Microcomputer Applications, Vol. 8, No. 3, 1989, pp. 82-87.
A.R. Hurson, L. Miller, B. Shirazi, and S. Pakzad, “Performance Evaluation of an Associative Parallel Join Module,” Journal of Computer Systems Science and Engineering, Vol. 4, No. 3, July 1989, pp. 131-146.
B. Shirazi, D.Y.Y. Yun, and C.N. Zhang, “RBCD: A Redundant Binary-Coded Decimal Adder,” IEE Proceedings Part E, Computers and Digital Techniques, Vol. 136, No. 2, March 1989, pp. 156- 160.
B. Shirazi and A.R. Hurson, “A Data Driven Multiprocessor- Its Architecture and Performance Evaluation,” Journal of Microprocessing and Microprogramming, Vol. 26, 1988, pp. 97-112.
A.R. Hurson, B. Shirazi, and S. H. Pakzad, “Layout Design Of A Systolic Multiplier Unit For 2’s Complement Numbers,” VLSI Systems Design, Vol. 7, no. 2, Feb. 1986, pp. 78- 84.
A.R. Hurson and B. Shirazi, “A Class of Systolic Multiplier Units for VLSI Technology,” Int’l Journal of Computer & Information Sciences, Vol. 14, no. 5, Oct. 1985, pp. 261-275.
Peer Reviewed Conference Papers:
Jacob Murray, Partha Pratim Pande and Behrooz Shirazi, “DVFS-Enabled Sustainable Wireless NoC Architecture”, Proceedings of IEEE International System-on-Chip Conference (SOCC), September 2012.
Jacob Murray, John Klingner, Partha Pande and Behrooz Shirazi, “Sustainable Multi- Core Architecture with on-chip Wireless Links”, Proceedings of ACM Great Lake Symposium on VLSI, GLSVLSI 2012, pp. 263-266.
Somak Das, Silvia Chita, Nina Peterson, Behrooz Shirazi, Medha Bhadkamkar, “Home Automation and Security for Mobile Devices,” IEEE PerCom Workshop on Pervasive Communities and Service Clouds, March 2011.
Sahra Sedigh, Ali Hurson, Les L Miller, Behrooz Shirazi, “’Enriching STEM Education through Personalization and Teaching Collaboration,” 7th IEEE International Workshop on PervasivE Learning, Life, and Leisure, March 2011.
Nina Peterson, Behrooz Shirazi, Medha Bhadkamkar, “Data Reliability and Data Selection in Real-time High Fidelity Sensor Networks,” International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS), March 2011.
Renjie Huang, Wen-Zhan Song, Mingsen Xu and Behrooz Shirazi, “Localized QoS- Aware Media Access Control in High-Fidelity Data Center Sensing Networks,” Workshop on Work-in-progress in Green Computing, Aug 2010.
Rashmi Parthasarathy, Nina Peterson, WenZhan Song, Ali Hurson, Behrooz Shirazi, “Over the Air Programming on Imote2-based Sensor Networks,” Hawaii International Conference on System Sciences (HICSS 2010).
WenZhan Son, Renjie Huang, Andy Ma, Mingsen Xu, Behrooz Shirazi, Rick LaHusen, “Air-dropped Sensor Network for Real-time High-fidelity Volcano Monitoring,” The 7th Annual International Conference on Mobile Systems, Applications and Services (MobiSys, acceptance ratio 20%), June 2009.
Renjie Huang, WenZhan Song, Behrooz Shirazi, “TreeMAC: Localized TDMA MAC Protocol for Real-time High-data-rate Sensor Networks,” the 7th (2009) IEEE International Conference on Pervasive Computing and Communication (PerCom 2009, acceptance ratio 13%) – best paper candidate.
Aaron Kiely, Mingsen Xu, Renjie Huang, Wen-Zhan Song, Behrooz Shirazi, “Linear Predictive Compression on Seismic Sensor Networks,” the 7th (2009) IEEE International Conference on Pervasive Computing and Communication (PerCom 2009, acceptance ratio 13%).
Yang Peng, Wen-Zhan Song, Renjie Huang, Mingsen Xu, Behrooz Shirazi, Rick LaHusen, “Cascades: A Reliable Dissemination Protocol for Data Collection Sensor Network,” IEEE Aerospace 2009.
Nina Peterson, Lohith Anusuya-Rangappa, Behrooz A. Shirazi, Renjie Huang, Wen- Zhan Song, Michael Miceli, Devin McBride, Ali Hurson, and Rick LaHusen, “TinyOS- based Quality of Service Management in Wireless Sensor Networks,” in Hawaii Int’l Conference on System Sciences (HICSS) 2009.
Peng, Y, Song, W, Lahusen, R, Shirazi, B, “Smart Sensing Component for Volcano Monitoring,” The 4th IET International Conference on Intelligent Environments (IE 08), July 2008.
Fenghua Yuan, Wen-Zhan Song, Nina Peterson, Yang Peng, Lei Wang, Behrooz Shirazi, Rick LaHusen, “Design of Lightweight and Transparent Sensor Network Management System,” Fourth IEEE International Workshop on Sensor Networks and Systems for Pervasive Computing (IEEE PerSeNS 2008).
WenZhan Song, Behrooz Shirazi, Rick Lahusen, Sharon Kedar, Steve Chien, Frank Webb, John Pallister, Dan Dzurisin, Seth Moran, Mike Lisowski, Danny Tran, Ashley Davis, David Pieri, “Optimized Autonomous Space In-situ Sensor-Web for Volcano Monitoring,” IEEE Aerospace 2008.
Animesh Dalakoti, Nina Picone, Behrooz A. Shirazi, Wen-Zhan Song and Ali Hurson, “Priority-based Network Quality of Service,” The 10th International Conference on Computer Science and Informatics (CSI 2007).
Mijeom Kim, M. Kumar, B. Shirazi, “A Novel Architecture for Provisioning Basic Services in Heterogeneous Pervasive Environments,” IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2007), June 2007.
WenZhan Song, Behrooz Shirazi, Rick LaHusen, Steve Chien, Sharon Kedar, Frank Webb, “An Optimized Autonomous Space In-situ Sensorweb (OASIS) for Volcano Monitoring,” The American Geophysical Union Fall Meeting (AGU 2006)
Swaroop Kalasapur, Mohan Kumar, and Behrooz Shirazi, “Evaluating Service Oriented Architectures (SOA) in Pervasive Computing,” Int’l Conf on Pervasive Computing and Communication, PerCom 2006, March 2006, pp. 276-285.
Mijeom Kim, Mohan Kumar, Behrooz Shirazi, “An Integrated Scheme for Address Assignment and Service Location in Pervasive Environments,” The 2005 IFIP International Conference on Embedded and Ubiquitous Computing (EUC-05), Japan, Dec. 2005.
Swaroop Kalasapur, Mohan Kumar, and Behrooz Shirazi, “Seamless Service Composition (SeSCo) in Pervasive Environments,” Workshop on Multimedia Service Composition, ACM Multimedia 2005, pp. 11-20.
A.R. Hurson, Y. Jiao, and B. Shirazi, “Online Adaptive Application-Driven WLAN Power Management,” IEEE Global Telecommunications Conference, GLOBECOM 2005, Nov. 2005.
Mijeom Kim, M. Kumar, B. Shirazi, “Service Discovery using Volunteer Nodes for Pervasive Environments,” IEEE International Conference on Pervasive Services (ICPS) 2005, July 2005.
S. Kalasapur, M. Kumar, and B. Shirazi, “Personalized Service Composition for Ubiquitous Multimedia Delivery,” IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2005), June 2005.
H. Alex, M. Kumar, and B. Shirazi, “Collaborating Agent Communities for Information Fusion and Decision-making,” International Conference on Knowledge Integration and Multi Agent Systems (KIMAS 05), April 2005.
Mijeom Kim, M. Kumar, and B. Shirazi, “A Lightweight Scheme for Auto-configuration in Mobile Ad Hoc Networks,” 5th IEEE International Workshop on Algorithms for Wireless, Mobile, Ad Hoc and Sensor Networks (WMAN 05), April 2005.
H. Alex, M. Kumar, B. Shirazi, “MidFusion: Middleware for Information Fusion in Sensor Network Applications”, International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Melbourne, Australia, December 2004.
M. Kumar, B. Shirazi, and B.Y. Sung, “A Novel Approach to Compose Services in Pervasive Computing,” Dagstuhl Seminar on Ubiquitous Computing, Oct. 2004.
Shahzad Nazar, B. Shirazi, and Sungyong Jung, “Performance/Energy Efficiency Analysis of Register Files in Superscalar Processors,” 2004 Int’l Conf. on VLSI (VLSI- 04), July 2004.
B. Shirazi, M. Kumar, and B. Sung, “QoS Middleware Support for Pervasive Computing Applications,” Minitrack on Quality of Service in Mobile and Wireless Networks, Proc. of the Thirty-Seventh Annual Hawaii International Conference on Systems Sciences (HICSS), CDROM, January 2004.
B. Shirazi, M. Kumar, B. Sung and S. Kalaspur, “Effective Communication and Collaboration among Heterogeneous Pervasive Computing Devices Using Software Communities,” International Conference on Advances in Internet, Processing, Systems, and Interdisciplinary Research, Montenegro, CDROM, Oct. 2003.
M. Kumar, J. Priest, B. Shirazi, B. Huff, and M. Johnson, “Revolutionizing Manufacturing Systems with Pervasive Computing: P-RoMS,” International Workshop on Ambient Intelligence Computing, Santorini, Greece, July 2003, pp. 33-48.
Cavanaugh, Charles D., Lonnie R. Welch, and Behrooz A. Shirazi, “Diagnosing Quality of Service Problems in Distributed, Real-time Systems,” In Proceedings of the 2003 Information Systems Technology Workshop (IST 2003), CDROM, May 2003.
B.Y. Sung, B. Shirazi, M. Kumar, “Community Computing Framework for Enhancing Internet Service”, Eurasian Conference on Advances in Information and Communication Technology, Workshops Program, Oct. 2002, on CD ROM, pp. 177-184.
V. Murthi, D. Levine, B. Shirazi, and Jeff Marquis, “A Tool Based Methodology for Development of Automatically Scalable and Reusable Parallel Code,” The Tenth IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, Fort Worth, Texas, October 2002.
V. Murthi, D. Levine, J. Marquis, and B. Shirazi, “Creating Portable and Automatically Scalable Parallel Software Using the PARSA(TM) Programming Methodology,” The 5th IEEE International conference on Algorithms and Architectures for Parallel Processing, Beijing, China, October 2002.
A. Rakhshan, B. Shirazi, “Parallel Text Classification Learner,” Proceedings of The 7th Annual Computer Society of Iran Computer Conference (CSICC’2002), Tehran, Iran, pp. 37-43, February 26-28, 2002.
Victor Govindawamy, Lonnie Welch, and Behrooz Shirazi, “Preparing Dependable, Dynamic Real-time Application Systems for an Adaptive Resource Management Environment using a Resource Management Middleware, IEEE Canadian Conference on Electrical and Computer Engineering (CCECE ’02), 2002, vol. 2, pp. 749-754.
Bill D. Carroll, William P. Osborne, Behrooz Shirazi, C. D. Cantrell, Saibun Tjuatja, “CS/EE Online – Lessons Learned in Planning, Developing, and Operating a Joint, Web- Based Master’s Program,” American Society of Engineering Education Conference, 2002.
Charles D. Cavanaugh, Lonnie R. Welch, and Behrooz A. Shirazi. “Towards a Characterization of Quality of Service Management Approaches in Distributed, Real-time Systems,” IPDPS Workshop on Parallel and Distributed Real-time Systems, 2001, on CD ROM, 8 pp.
M. Kumar, S.K. Das, B. Shirazi, D. Levine, J. Marquis, and L. Welch , Pervasive Information Community Organization (PICO) of Camileuns and Delegents for Future Global Networking, Invited white paper to LSN Workshop, March 12-14, 2001, www.ana.lcs.mit.edu/~sollins/LSN-Workshop/papers/.
Kannan Bhoopathy, David Levine, Jeff Marquis, Behrooz Shirazi, “Support for Mixed MPI, Multithreaded Distributed Computing,” 7th International Conference on High Performance Computing (HiPC 2000), December 2000, pp. 161-168.
D. Levine, K. Bhoopathy, J. Marquis, and B. Shirazi, “A Software Development Methodology to Support Distributed Clusters,” 2000 4th Int’l Conf. on Algorithms and Architectures for Parallel Processing (ICA3PP 2000), Dec. 2000, pp. 40-45.
Gyung-Leen Park, Behrooz A. Shirazi, and Jeff Marquis, “Modeling and Evaluation of Task Scheduling Algorithms Using Stochastic Petri Net,” the 2000 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA ‘2000), June 26-29, 2000, Vol. III, pp. 1269-1275.
Charles D. Cavanaugh, Lonnie R. Welch, and Behrooz A. Shirazi. “Diagnosis of End-to- end Paths in Dynamic, Distributed, Real-time Systems,” Proceedings of the Work-in- Progress Session of the 21st IEEE Real-Time Systems Symposium, 2000:9-12.
Charles Cavanaugh, Lonnie R. Welch, Behrooz A. Shirazi, “Quality of Service Negotiation for Distributed, Dynamic Real-time Systems,” IPDPS Workshops, Lecture notes in Computer Science, pp. 757-765, 2000.
Eui-Nam Huh, Lonnie R. Welch, Brett C. Tjaden, Behrooz A. Shirazi, and Charles Cavanaugh, “Accommodating QoS Prediction in an Adaptive Resource Management Framework,” Workshop on Parallel and Distributed Real-time Systems, 2000.
E.H. Huh, Lonnie R. Welch, Behrooz A. Shirazi, Charles Cavanaugh, Shafqat Anwar, “Heterogeneous Resource Management for Distributed Real-time Systems,” Heterogeneous Computing Workshop (HCW’00), April 2000.
Kazi M Jahirul Islam, Behrooz A. Shirazi, Lonnie R. Welch, Charles Cavanaugh, “Network Load Monitoring in Distributed Systems,” Heterogeneous Computing Workshop (HCW’00), April 2000.
Charles D. Cavanaugh, L.R. Welch, Farhad Kamangar, and Behrooz A. Shirazi, “Quality of Service Forecasting for Distributed, Dynamic Real-time Systems,” Real Time Systems Symposium Work-In-Progress (RTSS’99), Dec. 1999.
L.R. Welch, P.V. Werme, L.A. Fontenot, M.W. Masters, B. Shirazi, B. Ravindran, and D.W. Mills, “Adaptive QoS and Resource Management Using A Posteriori Workload Characterizations,” Fifth IEEE Real-Time Technology and Applications Symposium (RTAS’99), pp. 266-275, May 1999.
L.R. Welch and B. Shirazi, “A Dynamic Real-time Benchmark for Assessment of QoS and Resource Management Technology,” Fifth IEEE Real-Time Technology and Applications Symposium (RTAS’99), pp. 36-45, May 1999.
L. R. Welch, B. Ravindran, P. A. Shirolkar, S. M. Anwar, T. Sergeant, B. A. Shirazi, P. Werme, M. W. Masters, R. D. Harrison, W. Mills, T. Do, J. Lafrata, S. Sharp, G. Bilowus, M. Swick, J. Hoppel and J. Caruso, “Distributed, Scalable, Dependable, Real-Time Systems: Middleware Services and Applications,” Proceedings of IPPS/SPDP ’99 (The International Parallel Processing Symposium (IPPS)/Symposium on Parallel and Distributed Processing (SPDP)), April 1999, pp. 297-301.
L.R. Welch, B. Ravindran, B. Shirazi, C. Bruggeman, “Specification and Analysis of Dynamic, Distributed Real-time Systems,” Proceedings of the 19th IEEE Real- Time Systems Symposium (RTSS’98), 1998, pp. 72-81.
L.R. Welch, B. Shirazi, B. Ravindran, C. Bruggeman, “DeSiDeRaTa: QoS Management Technology for Dynamic, Scalable, Dependable, Real-time Systems,” 15th IFAC Workshop – Distributed Computer Control Systems (DCCS ’98), Sept. 1998, pp. 7-12.
L.R. Welch, P.A. Shirolkar, S.M. Anwar, B. Ravindran, T. Sergeant, B. Shirazi, “Adaptive Resource Management for Scalable, Dependable Real-time Systems,” in the proceedings of the Work-In-Progress Session of the Fourth IEEE Real-Time Technology and Applications Symposium (RTAS’98), June 1998, pp. 3-6.
L.R. Welch and B. Shirazi, “Techniques for Dynamic, Dependable Real-time Systems”, Workshop on Parallel and Distributed Real-Time Systems, April 1998, available on 1998 IPPS/SPDP CD-ROM Proceedings.
G.L. Park, B. Shirazi, J. Marquis, “Mapping of Parallel Tasks to Multiprocessors with Duplication,” Hawaii Int’l Conf. on System Sciences (HICSS-31), January 1998, Vol. VII, pp. 96-105.
L.R. Welch and B. Shirazi, “DeSiDeRaTa: QoS Management Tools for Dynamic, Scalable, Dependable, Real-Time Systems,” IEEE Workshop on Middleware for Distributed Real-Time Systems and Services, Dec. 1997, pp. 164-178.
G.L. Park, H.Y. Youn, B. Shirazi, “Checkpointing with Sample Comparison for Reliable Parallel Systems,” 10th Int’l Conf. on Parallel and Distributed Computing Systems, Oct. 1997, pp. 59-64.
G.L. Park, B. Shirazi, J. Marquis, H.S. Choo, “Decisive Path Scheduling: A New List Scheduling Method,” Int’l Conf. on Parallel Processing, Aug. 1997, pp.472-480.
H.S. Choo, H.Y. Youn, G.L. Park, B. Shirazi, “Efficient Processor Allocation Scheme for Multi-dimensional Interconnection Networks,” Int’l Conf. on Parallel Processing, Aug. 1997, pp. 114-117.
G.L. Park, B. Shirazi, J. Marquis, “A Scalable Scheduling Algorithm for Parallel and Distributed Systems,” Int’l Conf. on Parallel and Distribued Systems, June 1997, pp. 122-127.
G.L. Park, B. Shirazi, J. Marquis, “DFRN: A New Approach for Duplication Based Scheduling in Distributed Memory Systems,” 1997 Int’l Parallel Processing Symposium, April 1997, pp. 157-166.
H.Y. Youn, H.S. Choo, S.M. Yoo, and B. Shirazi, “Dynamic Task Scheduling and Allocation for 3D Torus Multicomputer Systems,” Int’l Conf. on Parallel Processing, Aug. 1996, Vol. III, pp. 199-206.
G.L. Park, H.Y. Youn, and B. Shirazi, “Duplex with Self-Test: A Roll- Forward Checkpointing Scheme for High Performance Computing,” 1996 High-Performance Computing Symposium, April 1996, pp. 314-319.
B. Shirazi, S. Basireddy, and J. Marquis, “Static Estimation of Communication Delays in Distributed Memory Architectures”, Int’l Conf. on Parallel and Distributed Processing Techniques and Applications, Nov. 1995, Chapter 45, pp. 435-444.
S. Ronngren and B. Shirazi, “Static Multiprocessor Scheduling of Periodic Real-Time Tasks with Precedence Constraints and Communication Costs,” Hawaii Int’l Conf. on System Sciences (HICSS-28), January 1995, Vol. II, pp. 143-152.
K. Kavi, F.T. Sheldon, B. Shirazi, and A.R. Hurson, “Reliability Analysis of CSP Specifications Using Petri Nets and Markov Processes,” Hawaii Int’l Conf. on System Sciences (HICSS-28), January 1995, Vol. II, pp. 516-524.
S. Thrane, R. McPeak, B. Shirazi, and H.B. Chen, “IF1-Viewer: A Visualization Tool for Parallel Programming,” ISMM 6th Int’l Conf. On Parallel and Distributed Systems, Washington, D.C., Oct. 1994, pp. 272-276.
H.Y. Youn, S.M. Yoo, and B. Shirazi, “Task Relocation for Two-Dimensional Meshes,” ISCA 7th Int’l Conf. On Parallel and Distributed Computing Systems, Los Vegas, Oct. 1994, pp. 230-235.
H.B. Chen, B. Shirazi, J. Yeh, H.Y. Youn, and S. Thrane, “A Visualization Tool for Display and Interpretation of SISAL Programs,” ISCA 7th Int’l Conf. On Parallel and Distributed Computing Systems, Los Vegas, Oct. 1994, pp. 734-739.
B. Shirazi, H.B. Chen, J. Marquis, K. Kavi, A.R. Hurson, “PARSA: A Parallel Program Software Development Tool,” Symp. on Assessment of Quality of Software Development Tools, July 1994, pp. 96-111.
S. Ronngren, B. Shirazi, and D. Lorts, “Empirical Evaluation of Weighted and Prioritized Static Scheduling Heuristics for Real-Time Multiprocessing,” Second Workshop on Parallel and Distributed Real-Time Systems, April 1994, pp. 58-63.
A.R. Hurson, J.T. Lim, K. Kavi, and B. Shirazi, “Loop Allocation Scheme for Multithreaded Dataflow Computers,” 8th Int’l Parallel Processing Symposium, April 1994, pp. 316-322.
H.B. Chen, B. Shirazi, S. Thrane, and J. Marquis, “A Visual Tool for Graphical Display and Execution of SISAL Programs,” 13th Int’l Phoenix Conference on Computers and Communications (PCCC ‘94), March 1994, pp. 206-212.
V. Karani, P. Patadia, K. Kavi, P. Shanmugam, and B. Shirazi, “Improvements to the ETS Dynamic Dataflow Architecture,” Hawaii Int’l Conf. on System Sciences (HICSS- 27), Jan 1994, Vol. I, pp. 378-388.
K. Kavi, B. Shirazi, H.Y. Youn, and A.R. Hurson, “Performability Model for Soft Real- Time Systems,” Hawaii Int’l Conf. on System Sciences (HICSS-27), January 1994, Vol. II, pp. 571-585.
H.B. Chen, B. Shirazi, and J. Marquis, “Performance Evaluation of a Novel Scheduling Method: Linear Clustering with Task Duplication,” International Conference on Parallel and Distributed Systems, Taiwan, Dec. 1993, pp. 77-81.
P. Shanmugam, S. Andhare, K. Kavi, B. Shirazi, and A.R. Hurson, “Cache Design for an Explicit Token Store Dataflow Architecture,” Fifth IEEE Symposium on Parallel and Distributed Processing, Dec. 1993, pp. 45-50.
H.B. Chen, B. Shirazi, K. Kavi, and A.R. Hurson, “Static Scheduling Using Linear Clustering with Task Duplication,” The Sixth Int’l Conf. on Parallel and Distributed Computing Systems, Oct. 1993, pp. 285-290.
H.B. Chen, B. Shirazi, K. Kavi, and A.R. Hurson, “Linear Clustering with Task Duplication: A Novel Static Scheduling Method for Distributed Memory Systems,” The 9th Int’l Conf. on Systems Engineering, July 1993, pp. 16-20.
B. Shirazi, K. Kavi, A.R. Hurson, and P. Biswas, “PARSA: a PARallel program Scheduling and Assessment environment,” Int’l Conf. on Parallel Processing, Aug. 1993, Vol. II, pp. 68-72.
J.T. Lim, A.R. Hurson, B. Lee, and B. Shirazi, “Staggered Distribution: A Loop Allocation Scheme for Dataflow Multiprocessor Systems,” Frontiers ‘92 Conf. on Massively Parallel Systems, Oct. 1992, pp. 310-317.
J.T. Yen, B. Shirazi, and K. Kavi, “A New Cache Coherence and Address Translation Consistency Protocol,” Int’l Conf. on Parallel Processing, Aug. 1992, Vol. I, pp. 18-21.
D. Lin, B. Shirazi, and K. Kavi, “An Efficient Data Interface for Heterogeneous Distributed Environments,” 12th Int’l Conf. on Distributed Computing Systems, June 1992, pp. 390- 397.
K. Kavi, V. Vijayaraghavan, B. Shirazi, and A.R. Hurson, “Barriers and Break-points in Dataflow: Extensions to SISAL Language,” Hawaii Int’l Conf. on System Sciences (HICSS-25), January 1992, Vol. 1, pp. 526-534.
S. Krishnaprasad, B. Shirazi, K. Kavi, and A.R. Hurson, “A Model for Dataflow Computations: Result Sharing and its Performance Evaluation,” Hawaii Int’l Conf. on System Sciences (HICSS-25), January 1992, Vol. 1, pp. 515-525.
D. Lin, B. Shirazi, and K. Kavi, “A Heterogeneous Distributed Processing Interface Specification Language,” Int’l Conf. on Parallel Processing, Aug. 1991, Vol. II, pp. 274- 275.
S. Krishnaprasad, B. Shirazi, and A. Hurson, “Exploiting Problem Dynamic Through Result Sharing in Dataflow Environments,” 11th Int’l Conf. on Distributed Computing Systems, May 1991, pp. 108-115.
B. Shirazi, D. Lin, and H. Peyravi, “An Asynchronous Remote Procedure Call System for Heterogeneous Programming,” Int’l Phoenix Conference on Computers and Communications (PCCC ‘91), March 1991, pp. 153-159.
M.F. Wang, B. Lee, B. Shirazi, and A.R. Hurson, “Accurate Communication Cost Estimation in Static Task Scheduling,” Hawaii Int’l Conf. on System Sciences (HICSS- 24), January 1991, pp. 10-16.
B. Shirazi and D. Lin, “A Reliable Asynchronous Remote Procedure Call System,” Fourth Annual Symposium on Parallel Processing, April 1990, pp. 327-341.
B. Shirazi and S. Krishnaprasad, “Concurrent Processing with Result Sharing: Architecture and Performance Evaluation,” Frontiers ‘90 Conf. on Massively Parallel Systems, Oct. 1990, pp. 481-488.
M.F. Wang and B. Shirazi, “Round-Robin Load Balancing in a Shared Memory Multiprocessor System,” Int’l Conf. on Parallel Processing, Aug. 1990, Vol. I, pp. 59-66.
A.R. Hurson, B. Lee, B. Shirazi, and M.F. Wang, “A Program Allocation Scheme for Dataflow Computers,” Int’l Conf. on Parallel Processing, Aug. 1990, Vol. I, pp. 415-423.
B. Shirazi and D. Lin, “An Asynchronous Communication Protocol for Heterogeneous Distributed Programming,” Int’l Conf. on Parallel Processing, Aug. 1990, Vol. II, pp. 302- 303.
B. Shirazi and C.C. Wang, “A Dataflow-Based Neural Net Multiprocessor,” Int’l Joint Conference on Neural Nets (IJCNN ‘90), Jan. 1990, Vol. II, pp. 195-198.
B. Shirazi and S. Yih, “Critical Analysis of Applying Hopfield Neural Net Model to Optimization Problems,” Int’l Conf. on Systems, Man, and Cybernetics, Nov. 1989, pp. 210-215.
B. Shirazi and S. Yih, “Learning to Control: A Heterogeneous Approach,” IEEE Int’l Symposium on Intelligent Control, Sept. 1989, pp. 320-325.
A.R. Hurson, B. Lee, and B. Shirazi, “Hybrid Structure: A Scheme for Handling of Data Structures in a Data Flow Environment,” Conf. on Parallel Architectures and Languages Europe (PARLE ‘89), June 1989, pp. 323-340.
B. Shirazi and Y.D. Song, “A Parallel Exchange Sort Algorithm,” Int’l Phoenix Conference on Computers and Communications (PCCC ‘89), March 1989, pp. 366-370.
B. Shirazi and M.F. Wang, “Design and Analysis of Heuristic Functions for Static Task Distribution,” Workshop on Future Trends of Distributed Computing Systems in the 1990’s, Sept. 1988, pp. 124-131.
B. Shirazi, “A Distributed Dataflow Machine and Its Performance Evaluation,” Third Int’l Conference on Supercomputing (ICS ‘88), May 1988, Vol. III, pp. 215-221.
B. Shirazi, D.Y.Y. Yun, and C.N. Zhang, “VLSI Designs for Redundant Binary Coded Decimal Addition,” Int’l Phoenix Conference on Computers and Communications (PCCC ‘88), March 1988, pp. 52- 56.
C. N. Zhang, B. Shirazi, and D.Y.Y. Yun, “Residue Number Conversion,” Fall Joint Computer Conf. (FJCC ‘87), Oct. 1987, pp. 390-396. Curriculum Vitae Behrooz Shirazi
C. N. Zhang, B. Shirazi, and D.Y.Y. Yun, “Parallel Designs for Chinese Remainder Conversion,” IEEE Int’l Conference on Parallel Processing (ICPP), St. Charles, IL., August 1987, pp. 557-559.
B. Shirazi and A.R. Hurson, “A Large/Fine-grain Parallel Dataflow Model and Its Performance Evaluation,” National Computer Conference (NCC), June 1987, pp. 119- 126.
A.R. Hurson and B. Shirazi, “Associative Memories: Has Their Time Come? Applications and VLSI Complexity,” Nominated as the best paper in the computer architecture track in Hawaii Int’l Conf. on System Sciences, January 1987, pp. 284-292.
B. Shirazi, and A. R. Hurson, “A VLSI Implementable Block Oriented Data Driven Multiprocessor,” Future Directions in Computer Architecture and Software Workshop, May 1986, pp. 349-352.
A.R. Hurson, B. Shirazi, and S. H. Pakzad, “VLSI Layout Design of a Systolic Multiplier Unit for 2’s Complement Numbers,” IEEE Int’l Conf. on Computer Design (ICCD ‘85), New York, October, 1985, pp. 354-358.
A.R. Hurson and B. Shirazi, “A Systolic Multiplier Unit and its VLSI Design,” 12th Int’l Symp. on Computer Architecture, Boston, June, 1985, pp. 302-309.
A.R. Hurson and B. Shirazi, “The Design of a Hardware Recognizer for Utilization in Scanning Operations,” ACM Computer Science Conference, March, 1985, pp. 112- 119.
A.R. Hurson and B. Shirazi, “A VLSI Design for the Parallel Finite State Automaton,” IEEE Int’l Conf. on Computer Design: VLSI in Computers (ICCD ‘84), October, 1984, pp. 358-363.
A.R. Hurson and B. Shirazi, “Hardware Architecture of the Parallel Finite State Model,” Proc. 7th Annual Micro-Delcon ‘84, March, 1984, pp. 97-104.
Invited Papers, Workshops and other Conference Papers:
Gang Lu, Debraj De, Mingsen Xu, Behrooz Shirazi and Wen-Zhan Song, “Demo: A Wake-on Sensor Network,” ACM SenSys 2009.
Wen-Zhan Song, Behrooz Shirazi, Rick LaHusen, Steve Chien, Sharon Kedar, Frank Webb, “An Optimized Autonomous Space In-situ Sensorweb (OASIS) for Volcano Monitoring,” The American Geophysical Union (AGU) Fall Meeting (AGU 2006).
M. J. Kim, M. Kumar, and B. Shirazi, “An Integrated Scheme for Address Assignment and Service Location in Ad Hoc Networks,” Tech Report: CSE- 2004-6, UTA.
S. K. Das, M. Kumar and B. Shirazi, “Pervasive Community Computing (PCC) Paradigm with Application to Healthcare,” Proceedings of the 1st International Conference on Ubiquitous Computing, Seoul, Korea, pp. 3-8, Oct 20-22, 2003.
M. Kumar, B. Shirazi, S. Das, “Pervasively Secure Inftrastructures (PSI) Through Community Computing,” Texas Workshop on Security of Information Systems, April 2003, pp. 5-11.
B. Shirazi and J. Marquis, “A Scheduling Tool for Parallel and Distributed Systems,” Invited Paper, IEEE Aerospace Applications Conference, Feb. 1996, Vol. 3, pp. 247-259.
J. Baumgartner, D. Cook, and B. Shirazi, “Genetic Solutions to the Load Balancing Problem,” Invited Paper, Int’l Conference on Parallel Processing Workshop on Challenges for Parallel Processing, Aug. 1995, pp. 72-78.
B. Shirazi, H.B. Chen, and S. Thrane, “A Software Development Tool for Parallel Program Scheduling and Assessment,” Invited Paper, Int’l Mathematics And Computer Science World Conference, July 1994, pp. 1473-1476.
K. Kavi, B. Wyatt, B. Shirazi, and A.R. Hurson, “Evaluation of Dynamic Object Inheritance in Distributed Environments,” Second Engineering Systems Design and Analysis Conf., Vol. 5, ASME, NY, July 1994, pp. 525-532.
B.U. Jun, A.R. Hurson, and B. Shirazi, “Handling Logic Programs in Multithreaded Dataflow Environments,” Second Engineering Systems Design and Analysis Conf., Vol. 5, ASME, NY, July 1994, pp. 533-540.
A.R. Hurson and B. Shirazi, “A Mini-track on Scheduling and Load Balancing: Track Coordinator’s Introduction,” Hawaii Int’l Conf. on System Sciences (HICSS-26), January 1993, pp. 484-486.
J.T. Yen and B. Shirazi, “Modeling Memory Access times,” The First Engineering Systems Design and Analysis Conf., PD-Vol. 47-4, June 1992, pp. 73-78.
B. Shirazi and J.T. Yen, “A New Cache Coherency and Address Translation Consistency Protocol in Shared Memory Multiprocessors,” ISMM-Parallel Computing, Sept. 1991, pp. 17-20.
V. Vijayaraghavan, K. Kavi, and B. Shirazi, “Control Flow Extensions to The Dataflow Language SISAL,” IEEE/ACM Symp. on Applied Computing, April 1991, pp. 130-138.
B. Shirazi and T. Gralewicz, “Towards Visual Parallel Programming,” ACM South Central Regional Conference, Nov. 1989, pp. 97-98.
T. Gralewicz, B. Shirazi, and A.R. Hurson, “A Visual Programming Environment for Parallel Processing,” ISMM ‘89, June 1989, pp. 148-152.
B. Shirazi, S. Yih, and D.Y.Y. Yun, “Neural Network for Control System Modeling and Design,” 20th Annual Pittsburgh Conf. on Modeling and Simulation, May 1989, pp. 2193- 2197.
B. Shirazi, D. Lin, and S. Abdullah, “A Hypercube-based Dataflow Machine,” Fourth Conf. on Hypercube Concurrent Computers and Applications, March 1989, Vol. I, pp. 197-200.
B. Shirazi and P. Mukherjee, “VLSI Layout of a Pipelined Multiplier,” IEEE Region V Conference, March 1988, pp. 121-125.
B. Shirazi and L. Furin, “Performance Evaluation of a Hypercube-Based Dataflow Machine,” ISMM Int’l Conf. on Computer Applications in Design, Simulation, and Analysis, February 1988, pp. 92-95.
A.R. Hurson and B. Shirazi, “A Design for An Associative Memory Chip,” Proc. of Workshop on Memory Technology, NCR Corporation, Dayton, OH, April 1987.
B. Shirazi, “Future Directions of Associative Memories,” IEEE Region V Conf., March 1987, pp. 57-62.
B. Shirazi and A. R. Hurson, “A Back-end Hybrid Module for Dataflow and Array Processing,” Int’l Computer Symposium, Dec. 1986, Taiwan, pp. 1004-1010.
B. Shirazi and A. R. Hurson, “A Microprocessor Based Data Driven Architecture,” MNCC ‘85, Malaysia, 1985, pp. 223-242.
B. Shirazi and A.R. Hurson, “A Wafer-Scale Data Driven Multiprocessor,” The 29th Int’l Symp. on Mini & Micro Computers (MIMI ‘85), Spain, June, 1985, pp. 115-119.
ProfessionalActivities
Journal Editorship
Editor-in-Chief for Special Issues, Sustainable Computing: Informatics and Systems Journal, 2010 – Present.
Editor-in-Chief for Special Issues, Pervasive and Mobile Computing Journal, 2004 – Present.
Field Editor, Computing Journal, 2010 – Present.
Member of the Editorial Board, IEEE Transactions on Computers, 1999 – 2004.
Member of the Editorial Board, Journal of Parallel and Distributed Computing, 1994 – 2004.
Member of the Advisory Board, The CSI Journal on Computer Science and Engineering (CSIJCSE), 2000 – Present.
Founding of Conferences
Co-founder and Steering Committee Co-Chair, International Green Computing Conference (IGCC), 2010 – Present.
Co-founder and Steering Committee Member, IEEE International Conference on Pervasive Computing and Communication (PerCom), 2003 – Present.
Founder and Steering Committee Member, IEEE Symposium on Parallel and Distributed Processing (Joined IEEE International Parallel Processing Symposium to form IEEE International Parallel and Distributed Processing Symposium in 1996), 1989 – Present.
Conference Chairmanship
General Chair, 21st International Heterogeneity in Computing Workshop, 2012.
Technical Program Chair, 9th IEEE Consumer Communications and Networking Conference (CCNC) 2012.
Technical Program Chair, 20th International Heterogeneity in Computing Workshop, 2011.
Co-Technical Program Chair, International Conference on Cloud and Green Computing, 2011.
Technical Program Vice-Chair for the Seventh (2010) IEEE Consumer Communications and Networking Conference (CCNC 2010) track on “Smart spaces and personal area networks for CE”.
Technical Program Vice-Chair for the Sixth (2009) IEEE Consumer Communications and Networking Conference (CCNC 2009) track on “Personal Ad Hoc and Sensor Networks”.
Tutorial Co-Chair for the 2008 International CSI Computer Conference.
Program Committee Co-Chair and Steering Committee Member, 11th International CSI Computer Conference, January 2006.
Track Chair for Software and Applications, IEEE International Conference on Computer Systems and Applications (AICCSA) 2005.
General Chair, 10th Heterogeneous Computing Workshop, 2001 (HCW ’01).
General Co-Chair, The Joint Int’l Parallel Processing Symposium And IEEE Symposium on Parallel and Distributed Processing, Orlando, Florida, 1998.
Program Committee Member:
41st International Conference on Parallel Processing (ICPP) 2012.
9th IEEE International Conference on Pervasive Computing and Communications (PerCom) 2012.
International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS) 2012.
40th International Conference on Parallel Processing (ICPP) 2011.
International Workshop on Sustainable Internet and Internet for Sustainability (SustaInet) 2011.
The First International Conference on Mobile Services, Resources, and Users (Mobility) 2011.
First NSF/TCPP Workshop on Parallel and Distributed Computing Education(EduPar) 2011.
International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS)011.
9th IEEE International Conference on Pervasive Computing and Communications (PerCom) 2011.
High Performance Computing (HiPC) 2010.
Workshop on Sensor Networks for Earth and Space Science Applications, 2009.
Intelligent Environments, 2008.
International Workshop on Pervasive Systems (PerSys) 2008.
Workshop on Mobile Ad-hoc and Sensor Systems (MASS) for Global and Homeland Security, 2007.
4th International Conference on Ubiquitous Intelligence and Computing (UIC) 2007.• International Workshop on Pervasive Systems (PerSys) 2007.
3rd International Conference on Ubiquitous Intelligence and Computing (UIC) 2006.
International Workshop on Pervasive Systems (PerSys) 2006.
IASTED International Conference on Advances in Computer Science and Technology (ACST) 2004.
10th IEEE/ACM Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2002.
International Conference on Parallel and Distributed Computing (ICPADS), 2002.
5th IEEE International Conference on Algorithms and Architecture for Parallel Processing (ICA3PP), 2002.
4th IEEE International Conference on Algorithms and Architecture for Parallel Processing (ICA3PP), 2001.
Panel Coordinator – “Is Scheduling a Solved Problem?” at Int’l Conf. on Parallel Processing, Aug. 1994 (Panelists: Drs. Raghavandra, Ramkumar, McCreary, Hamidzadeh, and P. Yew).
Workshop or Track Coordinator:
The Third Engineering Systems Design and Analysis Conf., France – Neural Net Symposium Track, June 1996.
The Second Engineering Systems Design and Analysis Conf., London, England – Parallel Computing Track, June 1994.
26th Hawaii International Conference on Systems Sciences – Parallel Programming Track: Scheduling and Load Balancing, January 1993.
The First Engineering Systems Design and Analysis Conf., Istanbul, Turkey – Parallel and Distributed Systems Track, June 1992.
Guest Editor – Special Issue of IEEE Transactions on Computers on Quality of Service Issues in Internet Web Services, with Mohan Kumar, Sajal Das, Marco Conti 2002.
Guest Editor – Special Issue of Journal of Parallel and Distributed Computing on Scheduling and Load Balancing, December 1992.
Registration Chair, 1991 International Conference on Distributed Computing Systems.
Chair – Region 5 Area Committee of the Computer Society Area Activities Board, 1989- 1990.
Chair of the Computer Society, IEEE Dallas Chapter, 1988 – 1989.
Session Chair in many technical conferences (ICPP, IPPS, SPDP, ISMM, etc.)
External reviewer for tenure and promotion cases.
Panelist on many NSF proposal review panels.
Referee for many Conferences, Journals, and Books; and, an NSF reviewer.
Membership:
Tau Beta Pi.
IEEE Computer Society.
Association for Computing Machinnery
Education Committee of the Texas Computer Industry Council (1985-1987).
Funded Grants (total of $11M+ in External Funds)
National Science Foundation, EAGER: Design and Implementation of a Fine-Grained Appliance Energy Profiling System for Green Building, PI: Nirmalya Roy, Co-PI: Behrooz Shirazi, $265,292, Jan 2013 – Jan 2015.
National Science Foundation, IGERT: Integrative Research Training in Health- Assistive Smart Environments, PI: Diane Cook, Co-PIs: Lawrence Holder, Maureen Schmitter- Edgecombe and Behrooz Shirazi, NSF, $3.2M, Sept 2009 – Sept 2014.
National Science Foundation, Research Experiences for Undergraduates in Smart Environments,” PI: D. Cook, Co-PI: B. Shirazi, ($325,000), May 2010 – Dec 2013.
National Science Foundation, Research Experiences for Underrepresented Undergraduates in Smart Environments, PI: B. Shirazi, Co-PI: D. Cook, ($277,768), May 2007 – May 2010.
NASA, Optimized Autonomous Space – In-situ Sensorweb, PI: WenZhan Song (WSU), Co- PIs: Behrooz Shirazi (WSU), Richard Lahusen (USGS), Sharon Kedar, Frank Webb, and Steve Chien (JPL); ($1.6M), Jan. 2007 – Jan. 2010.
Department of Justice, A Wireless Audio-Visual Collaboration System for Police and Law Enforcements Agencies, PI: I. Ahmad, Co-PIs: B. Shirazi, S. Das and K. Basu ($500,000), Nov. 2004 – Dec. 2005.
National Science Foundation, Contract no. IIS-0326505, Pervasively Secure Infrastructures (PSI): Integrating Smart Sensing, Data Mining, Pervasive Networking, and Community Computing, PI: S. Das, Co-PIs: B. Shirazi, M. Kumar, D. Cook, L. Holder, S. Chakravarthy, K. Basu, I Ahmad, F. Lewis, M. Singhal, R. A. Finkel, and A. Hurson, ($1,600,000), Aug. 2003 – July 2008.
National Science Foundation, Contract no. STI-0129682, Pervasive Information Communities Organization (PICO): A Framework for Internet Services of the Future, PI: M. Kumar, Co-PIs: B. Shirazi, S. Das, F. Kamangar, D. Levine, ($426,361), June 02 – May 05.
National Science Foundation, Contract no. EIA-0139564, Research Experiences for Undergraduates in Distributed Rational Agents, PI: B. Shirazi, Co-PIs: M. Huber and D. Cook, ($191,111), May 02 – May 05.
National Science Foundation, ILI, Contract no. DUE-9950697, A Senior Design Project Laboratroy: Platform Independent Remote Data Acquisition and Control Over the Internet, PI: F. Kamangar, Co-PI’s: B. Shirazi, H.Y. Youn, ($55,154: $24,294 from NSF, $30,860 matching from UTA and National Instruments), Sept. 99 – Aug. 02.
Nichols Research, A Feasibility Study to Investigate Extending the PARSA Software Development Environment to Use Fortran Pthread APIs, PI: B. Shirazi, Co-PI: J. Marquis, ($85,800), March 2000 to Dec. 2000.
National Science Foundation, Contract no. EIA-9820440, Research Experiences for Undergraduates in Dynamic Distributed Real-Time Systems, PI: B. Shirazi, Co-PIs: D. Cook and L.R. Welch, ($124,800), June 99 – May 02.
DARPA/ITO, Contract no. N66001-97-C-8250, DeSiDeRaTa: QoS Management Tools for Dynamic, Scalable, Dependable, Real-Time Systems, PI: Lonnie R. Welch, Co-PI: B. Shirazi, ($1,488,394), June 97 to Dec. 01.
U.S. Naval Air Systems Command (NAVAIR), Research & Development of Jewel Compression: Advanced Data Compression Architecture & Algorithm, PI: T.C. Yih, Co-PI’s: B. Shirazi, S. Das, A. Reyes, ($35,000), June 2000 to June 20001.
National Science Foundation, Contract no. MIPS-9622593, Research in Multithreaded Dataflow and Hybrid Architectures, PI: K. Kavi, Co-PI’s: B. Shirazi and A.R. Hurson, ($150,353 + $20,000 REU Supplement), June 96 to Dec. 97.
National Science Foundation, ILI, Contract no. DUE-9650119, A Microkernel-Based Operating Systems Laboratory, PI: D. Cook, Co-PI’s: B. Shirazi, K. Kavi, D. Umbaugh, D. Levine, ($186,300: $81,500 from NSF, $104,800 matching from UTA and IBM), Jan. 96 – Dec. 97.
National Science Foundation, Contract no. CDA-9531535, Research Experiences for Undergraduates in Software Tools for Concurrent Programming, PI: B. Shirazi, Co-PI: K. Kavi, ($113,691), June 96 – May 99.
National Science Foundation, CISE Research Instrumentation, Contract no. CDA- 9529561, Design of a Distributed Computing Environment using Microkernels, PI: D. Cook, Co-PI’s: B. Shirazi, K. Kavi, ($149,200: $62,000 from NSF and 87,200 matching from UTA), Jan. 96 – Feb. 99.
State of Texas Advance Technology Program (ATP), Contract no. 003656-087, A Software Development Tool for Portable Parallel Programming, PI: B. Shirazi, ($208,000), Jan. 96 – Dec. 97.
E-Systems Inc., Greenville Division, PARSA: a PARallel program Scheduling and Assessment environment, PI: B. Shirazi, ($200,000), June 94 – May 96.
National Science Foundation, Contract no. DUE-9351001, A Senior Design Project Laboratory: Experiences in Parallel Processing, NSF-ILI program, PI: B. Shirazi, Co- PI’s: B.D. Carroll and E.W. Banios, ($108,290: $40,590 from NSF, $27,840 from E-Systems, $20,060 from Mercury Computer Systems, and $20,200 from UTA), June 93 – Nov. 95.
National Science Foundation, Contract no. CDA-9300252, Research Experiences for Undergraduates in Software Tools for Parallel Program Development and Assessment, PI: B. Shirazi, Co-PI’s: B.D. Carroll and K. Kavi, ($119,375), June 93 – May 96.
International Computing Technology, Study of Parallel Power Plant Control Simulations, PI: B. Shirazi, Co-PI: K. Kavi, ($11,025), May 94 – Aug. 94.
Mercury Computer Systems, Equipment Grant, PI: B. Shirazi, (4-processor Mercury VS board and software license valued at $62,000), September 93.
University of Texas at Arlington, Office of the Dean of the College of Engineering,Research Equipment Grant, PI: B. Shirazi, ($10,000), Sept. 92 – Aug. 93.
State of Texas Advance Technology Program (ATP), Contract no. 003656-080, PI: B. Shirazi, PARSA: A scheduling environment for PARallel Systems programming and Assessment, ($115,656), Jan. 92 – Aug. 94.
State of Texas Advance Technology Program (ATP), Supplemental Grant for Under- Represented Minorities, PARSA: A scheduling environment for PARallel Systems programming and Assessment, PI: B. Shirazi, ($8,875), Sep. 92 – May 94.
Texas Instruments, Round Robin Load Balancing for a Shared Memory Multiprocessor System, PI: B. Shirazi, ($33,552), May 91 – Dec. 92.
Texas Instruments, Heterogeneous Distributed Processing Laboratory, PI: B. Shirazi, Equipment: TI Explorer, ($15,600), Feb. 91.
Air Force Office of Scientific Research, Contract no. S-210-11MG-064, Parallel Architectures for AI and Knowledge-Base Systems, PI: B. Shirazi, ($31,348), Jan. 91 – Jan. 92.
University of Texas at Arlington, Research Initiation Grant, PI: B. Shirazi, ($20,000), Sept.90 – Aug. 91.
Lightbus Technology, Efficient Data Structures for Network Routing, PI: B. Shirazi, ($5,982), Sept. 89- Sept. 90.
Texas Instruments, A Hybrid Method for Task Allocation and Load Balancing, PI B. Shirazi, ($33,952), Jan. 89 – Dec. 1990.
DARPA, Contract no. MDA903-86-C-8012, Optimization Algorithms for New Computer Architectures, Faculty Research Associate (B. Shirazi) Responsible for ($245,882), (PI: Dean Robert Fossum, SMU, Total Grant: $2.8M), Sept. 86 – Aug. 89.
SMU Instructional Development Grant, PI: M. Tanik, Co-PI’s: B. Shirazi and D.Y.Y. Yun, ($3,000), Summer of 1987.
Southern Methodist University Seed Grant, PI: B. Shirazi, ($1,800), Summer of 1986.
University Services
UTA Committee activities (Department, College, and University):
Member of the Provost Review Committee, 2001-02.
Member of the University Cost Saving Committee, 2000.
Chair of the CSE Department Graduate Studies Committee, UTA, 1996- 2005.
Chair of the Faculty Recruitment Committee, CSE Department, UTA, 1997 – 1999; member of this committee: 1993-94 and 1996-97.
Member of the College TxTEC Consertium Committee, College of Engineering, UTA, 1998 – 2000.
Member of the Graduate Student Recruitment Committee, College of Engineering, UTA, 1996-1999.
Member of the University Faculty Developmental Leave, UTA, 1997 – 1998.
Member of the Faculty Workload Committee, CSE Department, UTA, 1996 – 1997.
Member of the Student Affairs Committee, CSE Department, UTA, 1991 – 1995.
Member of the Graduate Admissions Committee, CSE Department, UTA, 1991 – 1996.
Chair of the Publicity Committee, CSE Department, UTA, 1991 – 1993.
Chair of the Faculty Workload Guideline Committee, CSE Department, UTA, 1991.
Chair of UTA CSE Department Seminar Program, Spring Semester 1991.
Member of the CSE Department Tenure and Promotion Committee, UTA, 1990- 2005.
Member of the CSE Department Graduate Studies Committee, UTA, 1990- 2005.
Prepared the Volume II ABET accreditation report for the Computer Engineering Program, Department of CSE, SMU, 1989-90.
Chair of the CSE Department Accreditation Committee, SMU, 1988-1990.
Chair, CSE Department Faculty Recruitment Committee, SMU, 1988-1989.
Member of the School of Engineering and Applied Sciences Academic Priorities Task Force as well as the Chairman of its Educational Enterprise Sub-committee, SMU, 1988.
Prepared the SMU CSE Departmental Annual Report for the 1987 academic year.
Chair of the CSE Department Seminar Program, SMU, 1986-1988.
Member of the CSE Department Admission Committee, SMU, 1985-1990.
Member of the CSE Dept Graduate Policy and Exam Committee, SMU, 1985-1990.
CSE Department Representative to the School of Engineering and Applied Sciences’ Academic Affairs Committee, SMU, 1985-1989.
Faculty Advisor, SMU IEEE Computer Society Student Chapter, 1988-1990.
Motion carried.
Recommendation from Research & Arts Committee for the Center for Transformational Learning and Leadership. (Exhibit D) as follows:
WASHINGTON STATE UNIVERSITY
College of Agricultural, Human, and Natural Resource Sciences Academic Programs
DATE: September 9, 2013
TO: Dr. Robby Rosenman, Chair Faculty Senate
FROM: Dr. Kim Kidwell, Executive Associate Dean
RE: Proposal to Establish a Center for Transformational Learning and Leadership in CAHNRS
The attachment contains a proposal to establish an academic center in the college that is being submitted to the Faculty Senate for consideration. Details concerning the evolution of this concept are presented in the context statement embedded in the proposal.
If you have any questions, or if you need additional information, please let me know and I will respond promptly. Thank you for your consideration of this proposal.
cc. Dan Bernardo
Ron Mittelhammer
423 Hulbert Hall, P.O. Box 646243, Pullman, WA 99164-6243
Serving People and Industries through : Instruction, Research, and Extension
Proposal to Establish the Center for Transformational Learning and Leadership in the College of Agricultural, Human and Natural Resource Sciences at Washington State University
September 2013
Table of Contents
Context Statement
3
Proposal Components:
Name of Unit
6
Nature and Scope of Activities
7
Staffing
Director Selection Criteria
9
Pmiicipating Faculty and Staff
9
Pmiicipating Colleges and Departments
9
Budgetary Support
10
Expected Funding Need and Sources
11
Needs for Space, Equipment and Supplies
11
Expected Contribution to and Impact on Instructional Programs
11
Expected Contributions to University and Other Clients
12
Letters of Support
13
Appendix A: Original Concept Note
14
Appendix B: Drafted Infmmational and Marketing Materials
16
Appendix C: CTLL Personnel
17
Context Statement
The College of Agricultural, Human and Natural Resource Sciences (CAHNRS) at Washington State University is an expansive and diverse college that includes 15 academic departments and five research and extension centers distributed across the state. CAHNRS fosters disciplines that serve at the interface of scientific discovery and its application to the advancement of society and improvement of the human experience. Our mission is to provide global leadership in discovering, accessing, and disseminating knowledge that contributes to producing a safe, abundant food and fiber supply; promotes the well-being of individuals, families, and communities; enhances sustainability of agricultural and economic systems; and promotes stewardship of natural resources and ecological systems. In all dimensions of our mission, we strive to embody the signature “World Class. Face to Face.” motto of Washington State University. CAHNRS personnel embrace the oppmiunity to fulfill the university’s land- grant mission by making groundbreaking research discoveries, by utilizing innovative approaches to teaching and learning, and by delivering relevant, progressive extension programs that synergistically generate outcomes that enhance the quality of life for the citizens of Washington State, as well as for people around the globe. The expansive reach of academic program, research and extension efforts in CAHNRS into the campus community, as well as with stakeholders and industry representations from a wide array of disciplines, creates many challenges and opportunities that are unique to the college based on its scope and size. One challenge of particular concern to CAHNRS administration involves establishing a high quality, reliable platfmm on which the various academic units within the college can create an exceptional academic experience for students that includes an excellent academic foundation in the discipline, as well as transparent, accessible oppmiunities for students to translate and apply what they are learning in the classroom to real-life experiences. The goal is to establish a set of best management practices for academic experiences that are used as the foundational source from which academic units within CAHNRS customize a ‘signature’ depmimental experience for students that accelerates the trajectory of professional and personal success for CAHNRS graduates. Over the last few years, CAHNRS has established several initiatives to promote consistency of experience across programs including but not limited to the following:
Created a CAHNRS Internship Committee composed of representatives from programs with undergraduate majors, which developed a CAHNRS Internship Handbook that is used college wide to manage, monitor and assess undergraduate internship experiences.
Created a CAHNRS Assessment Committee composed of members from every department, school or program in the college that develops products and strategies that are used college wide to support program assessment. Examples include mid-term and final course evaluation instruments, senior exit surveys and advising surveys that are managed and distributed electronically through the Academic Programs Office.
Created a college wide Career & Internship Company Preview night that draws in industry participants from every discipline in the college. This event provides excellent networking and relationship building experiences for students and potential employers.
All of these initiatives were developed with input from pmiicipating faculty from each discipline within the college. Final products were vetted with Department Chairs and Directors, and through them with their faculty. By utilizing a collaborative approach to bring the best ideas from each academic unit into the discussion, a high quality, consistent approach for managing these efforts has been created. The success of these effmis ignited interest in broadening the platform to include a college-wide coordinated effmi to engage industry pminers and stakeholders in partnering with CAHNRS to enrich student learning experiences by more transparently integrating real-world experiences into their academic training. This discussion created the impetus for this proposal. In the fall of2012, CAHNRS created a National Board of Advisors (NBOA) comprised of 100 industry representatives and stakeholders, including many alumni fi:om every program within the college. The goal of establishing the NBOA was to enroll external advisors into partnering with CAHNRS personnel to create innovative academic, extension and research programs that served the needs of their industries. The intention was to co- create new initiatives with this group that allows their input to be considered during the development process instead of asking them to react to initiatives that the college established without their input. Having relevance is a key to success in fulfilling the land grant mission of this university, and the best portal for accessing relevance is through our industry partners. The first year of the CAHNRS NBOA was dedicated to enhancing the student experience to150 support CAHNRS graduates with being well prepared for success in the work force.
Discussion focused on “beyond the book” experiences that would allow students to translate what they learn in the classroom to industry related experiences. We also discussed essential “job ready” skills that new employees often lack when they enter the work force. Two major priorities were identified by the board:
providing life skill enhancement opportunities as part of their academic training so that students learn how to effectively engage with people during their college experience;
creating more opportunities for students to engage in mentored, immersion-based training experiences that are relevant to their targeted industry. NBOA members have a strong desire to expand and enhance their connection with students by partnering with CAHNRS to provide professional development experiences for students. Board members expressed frustration with the challenges they face with identifying high quality interns, lack of access to CAHNRS students and recent graduates, and lack of clarity about what is expected or required of them to serve as student mentors. Board members also expressed an interest in accessing professional development trainings within CAHNRS for personnel within their respective industries. The CAHNRS leadership team, under the direction of the Associate Dean of Academic Programs, created a comprehensive plan to address these challenges. A corner stone of the plan involves creating an academic center in CAHNRS that will serve as a pmial for students, staff, faculty and industry patiners to access relevant “beyond the book” training experiences that support people with professional and personal development. The Associate Dean was charged with developing a plan for creating this academic center, as well as for developing a way to manage internship coordination with industry partners at the college level. This led to the development of a concept note that was presented to NBOA members in the March 2013 meeting (see Appendix A). Board members wholeheartedly embraced the concept, and within 2 weeks of launching the concept note, CAHNRS received a $25,000 donation from a corporate sponsor to initiate the effort to create the center. In the mayhem of end of semester activities coupled with challenges encountered when the Dean transitioned to the Interim Provost role, the proposal for developing this center was not finalized in time to submit before the Faculty Senate adjourned for the summer. This document was initially drafted in June and letters of support were solicited. CAHNRS received a groundswell of support from external patiners over the summer concerning this concept, which fueled our sense of urgency for creating the center. With input from industry pminers and members of the CAHNRS campaign advisory board, informational and marketing materials were drafted during the summer in preparation for the official launch, which explain its purpose and describe the types of experiences and events that will be suppmied by the center (see Appendix B). This proposal reflects the collaborative effmis of internal and extemal partners to create a center in the college that will provide a gateway for creating a total educational experience for students that includes building a solid academic foundation, developing effective interpersonal communication skills, and applying these skills to real-world situations so that graduates are well prepared to enter the work force. It also includes initiatives to provide professional development opportunities to university faculty and staff, as well as to the general public.
Name of the Unit
The proposed name for the unit is the Centerfor Transformational Leaming and Leadership (CTLL), which will be affiliated with the College of Agricultural, Human, and Natural Resource Sciences.
Mission
The CTLL will provide students, faculty, staff, alumni and external partners with value- added opp01iunities that will allow people to get MORE out of their professional and personal experiences. The mission of the CTLL is to support people with: Making connections, creating Qpp01iunities to transform and inspire, Realizing our own purpose and helping others do the same, and Expanding our potential as leaders to build a sustainable, global community.
Core Values
Connection: We value making meaningful connections with others that supp01i people with building synergistic relationships and achieving excellence.
Transformation: We value expanding personally and professionally through transf01mationallearning opportunities and experiences.
Inspiration: We value creating opportunities that motivate and inspire people to extend beyond perceived limits to live into their potential.
Leadership: We value the leader in everyone, and support people with expanding their ability to be a positive influencer in the work place, in communities and at home.
Nature and Scope of Activities
Students are the lifeblood of CAHNRS. The CTLL will provide exceptional learning and leadership experiences that equip graduates with the essential skills required for professional and personal success. The highest priority of the CTLL is to create an extraordinary learning experience for students that supports them in being ‘Job Ready, Day 1’ upon graduation. By participating in CTLL sponsored activities, students will acquire essential:
discipline-based skills related to their career interest area. (Foundation)
interpersonal communication skills to communicate their knowledge effectively to others and to work successfully with people. (Integration)
opportunities to work with industry partners so that they can apply what they are learning to actual work scenarios as part of their college training experience. (Translation).
Foundation components include course work, academic advising, tutoring, mentoring, and access to seminars, discussion, debates and other opportunities related to a chosen discipline. Most of these components are already being delivered in CAHNRS as part of academic degree programs and student support processes. The CTLL will serve as the gateway through which students, pmiicularly undecided majors, can be connected with personnel affiliated with specific majors or disciplines. Integration activities include life skill enhancement courses, capstone courses, service learning and team building experiences, student professional development workshops, as well as life skill enhancement and professional development oppmiunities for faculty, staff, alumni and industry pminers. Several undergraduate courses that emphasize integration are already available in CAHNRS (ex. HD 205 [COMM], AMT 440, AFS 101, and various [CAP] courses). Additional effmis will be made by CTLL and CAHNRS faculty to include more integration activities into existing and new courses. Workshops sponsored by the CTLL will be held to suppmi faculty with developing integration-focused activities into existing courses. CAHNRS has offered professional development workshop opportunities for graduate students, staff and faculty on a regular basis since 2008, and many of these activities have been offered university wide. Topics ranged from overcoming obstacles to publishing research results to learning how to effectively navigate challenging conversations with others. In the future, professional development workshops will be sponsored by the CTLL, and will be made available to internal as well as external participants whenever possible. Translation involves pmiicipation in industry internships, international immersion experiences, job shadowing, industry site visits, panel discussions, peer and professional mentoring, and mock interviews. Enrolling alumni and external pminers into suppmiing these efforts is essential for creating industry-based internship experiences, for developing an industry- based mentoring program and for obtaining funding to suppmi paid internships. The CTLL will serve as the pmial through which industry pminers gain access to CAHNRS interns and recent graduates. Upon the request ofNBOA members, Depmiment Chairs and School Directors, CAHNRS hired an internship coordinator in June of2013 to orchestrate and facilitate internship processes for the college. This position serves as the first point of contact for external partners who are seeking interns from CAHNRS. This position also will be the first point of contact for students within the college who are interested in internal and external internship oppmiunities. The internship coordinator, in partnership with personnel from the Center for Advising and Career Development, is in the process of developing a web-site through CougLink that is specifically associated with CAHNRS. NBOA members prefer to have access to a primary contact within CAHNRS to engage with when searching for internship candidates and potential employees rather than going through the general university process. The CTLL will offer a level of coordination designed to provide a higher level of support for internship placement and professional development than is currently available. Faculty and staff are the greatest assets in CAHNRS. Preeminent research and degree programs created by our dynamic faculty and staff allow us to train undergraduate and graduate students to be competitive and successful in their respective fields. WSU researchers in agricultural and food sciences are among the most productive in the nation, ranking in the top 10 in almost every agriculture-related discipline according to The Chronicle of Higher Education. CAHNRS faculty are a driving force at WSU, generating the highest level of competitive grant funding of any college at the university, and producing more than 80 percent of the university’s patents. To recruit and retain the best personnel, CAHNRS must be able to suppmi the needs of our faculty and staff to empower them to serve our students, alumni and industry partners to the best of their ability. Suppmiing members of the CAHNRS community through professional development oppmiunities is another impmiant priority for the CTLL. Personal and professional development oppmiunities in the form of symposium, workshops and on-line courses will be made available to all CAHNRS personnel through the CTLL. For more information about specific programs, opportunities workshop to be offered by the CTLL please review the drafted infmmational materials in Appendix B.
Staffing
Director Selection Criteria
When the CTLL has been fully endowed (see section 5 below) the Dean of CAHNRS, in accordance with WSU hiring guidelines, will recruit and hire a Director of the Center for Transformational Learning and Leadership. The review process and potential renewal of the director will follow standard operating procedures for all program directors in CAHNRS. Until the CTLL is fully endowed, the Associate Dean of Academic Programs will serve as the Director of the CTLL. This initial appointment will provide continuity during the center development phase and will reduce funding needs.
Participating Faculty and Staff (see Appendix C)
Kim Kidwell, Executive Associate Dean, CAHNRS, Associate Dean, Academic Programs
Melissa Bean, Associate Director of Development, CAHNRS Alumni and Friends
Mary Kay Patton, Instructor, Dept. of Human Development
Anna Whitehall, Clinical Assistant Professor, Dept. of Human Development Abbie DeMeerleer, Clinical Assistant Professor, Dept. of Human Development Robby Cooper, Clinical Assistant Professor, Dept. of Human Development Katie Nickels, Internship Coordinator, CAHNRS
Colleen Taugher, CAHNRS Global Learning Coordinator, International Research and Agricultural Development
Nik Grimm, Student Recruitment, CAHNRS
Participating Colleges and Departments
The CTLL will serve students, staff and faculty from the following departments, schools, and centers within CAHNRS: Department of Animal Sciences, Depmtment of Apparel Merchandizing, Design and Textiles, Depmtment of Crop and Soil Sciences, Department of Entomology, Department ofHmticulture, Department of Human Development, Department of Plant Pathology, School of Economic Sciences, School of Food Science, School of the Environment, School of Design and Construction, Institute ofBiochemistry, WSU Extension, Wenatchee Tree Fruit Research and Extension Center, liTigated Agriculture Research and Extension Center, Northwestern Washington Research and Extension Center, Puyallup Research and Extension Center, Center for Sustaining Agriculture and Natural Resources, and the Agricultural Research Center. Face-to-face and on-line leadership and professional development opportunities also will be made available to students, staff and faculty within the WSU community and to the general public.
Budgetary Support
The Dean has identified the development of the Center for Transformational Leaming and Leadership as a high priority for fundraising in the cunent Washington State University Campaign. The initial endowment goal for the CTLL is $5 million. Within six months of developing the concept note for the CTLL, CAHNRS has secured $1.25 million in private and corporate donations for the development ofthis center. The concept for developing the CTLL received a stmiup contribution for the first year from a private donor, and the endowment was initially created by resources provided by two alumni. A CAHNRS development professional has been assigned to the CTLL project to garner more private and corporate funding to build the endowment for the center. We anticipate that a majority of the funding utilized to support transformational opportunities for students (i.e. local, regional and international internships, undergraduate research, job shadow experiences, industry mentorships, etc.) will be provided by private and corporate donations to the CTLL. In addition, the new on-line Tidal Leadership Cetiificate Program (http://cm.wsu.edu/tidal) offered through WSU’s Global Campus, as well as customized workshops and symposia being delivered by CTLL personnel, will generate revenue for the center. Courses affiliated with the CTLL (i.e. HD 205 [COMM] and two courses to be proposed to UCORE for [CAP] consideration in 2014) also will generate revenue for the CTLL through the enrollment-based budget model implemented by the university in 2012. HD 205 alone generated nearly $160,000 in enrollment-generated revenue in AY 12-13, and enrollment in the course has expanded by 25% since then. Personnel affiliated with the CTLL will expand as demand increases and resources become available. We also intend to seek competitive grant funding to suppmi experiential education and internship activities, program development and program assessment that align with the CTLL mission. Faculty from across the college will be invited to participate in grant activities. Internal competitive grant opportunities also will be created to suppmi faculty with developing innovative teaching and training approaches for undergraduate and graduate students. Specific programs will be designed to connect university faculty with industry patiners to create relevant opportunities for students to translate what they are learning in the classroom to industry or professional settings. CAHNRS leadership anticipates that activities affiliated with the CTLL will involve teaching, research and outreach, and the outcomes of these efforts will benefit the college and the university.
Expected Funding Need and Sources
CAHNRS is not requesting any budgetary support from the university to create or sustain the CTLL. Expenses associated with the CTLL will be funded through enrollment in affiliated face-to-face and on-line courses or cetiificate programs, and through corporate and private donations. The intention is to make the CTLL self-sustaining. The endowment is designed to provide the CTLL with a long-term future at Washington State University.
Needs for Space, Equipment and Supplies
At the present moment, the CTLL will serve as a virtual hub for many activities that are managed or coordinated through the Academic Programs Office in CAHNRS. A physical space has been identified in Hulbe1i Hall that can be used to host small CTLL events, and to house personnel. All equipment and supplies will be supplied by the CAHNRS Academic Programs Office and the Office of Alumni and Friends. As revenue streams expand, the CTLL is expected to become self-funding. We will consider creating a dedicated space for the CTLL as demand and resources expand.
Expected Contribution To and Impact on Instructional Programs
Activities associated with the CTLL are designed to complement and enhance current instructional programs. Existing academic programs are embraced as a vital component for establishing a foundation on which the CTLL mission will manifest. Undergraduates seeking a degree in a CAHNRS major are recommended, and in most cases required, to complete experience learning activities including internships. Access to and the frame with which these internships will be managed and facilitated will enhance what students are currently experiencing. Extensive research indicates that learning experiences are enhanced when paired with high quality internships, applied research opportunities, international immersion, and/or service learning. The CTLL will offer a more comprehensive and accessible pmial for all depmiments in CAHNRS to complement classroom offerings with transformational learning and leadership oppmiunities. Academic advising is an educational and collaborative relationship in which students and advisors are partners in planning academic, personal, and career goals. The academic advising relationship fosters intellectual and personal development that leads to academic success and self-directed life-long leaming. For the advising relationship to be successful, both student and advisor must be proactive patiicipants. The CTLL will offer suppmi through intemship coordination, course delivery and professional development opportunities for all academic advisors. A coordinated communication system and best management approach will be developed to suppmi advisors with communicating effectively with students and faculty.
Expected Contributions to University and Other Clients
As tuition and enrollment increases, challenges associated with delivering an extraordinary leaming experience for students heightens. We envision the CTLL to serve as the central comerstone on which students create the essence of their Cougar experience. The CTLL offers students access to opportunities that will allow people to get MORE out of their college and life experiences. Many of the professional development opportunities and integration-based courses are open to all WSU students; therefore, the entire student body will benefit from the center. A majority of the professional development opportunities for faculty and staff also are accessible university wide, and the Tidal Leadership Certificate Program was designed for intemal and extemal patiicipants. Although the CTLL is affiliated with CAHNRS, activities associated with the center are intended to build bridges among students, staff, and faculty across the university, as well as with alumni and extemal industry patiners.
Letters of Support
WASHINGTON STATE UNIVERSITY
College of Agricultural, Human, and Natural Resource Sciences
Office of the Dean
May 8, 2013
Robert Greenberg, Chair Faculty Senate
PO Box 1038
Pullman, WA 99164-1038
Dear Dr. Greenberg:
I am writing this letter in support of the College of Agricultural, Human, and Natural Resource Sciences’ (CAHNRS) development of The Center for Transformational Learning and Leadership. The Center will assist all of CAHNRS and WSU Extension units with support for student education, leadership, involvement, and experience. It is vital that our large college provide service for our units in maintaining industry partnerships, high quality mentorships, and outstanding internship opportunities.
CAHNRS needs a center where the focus on internships, international study abroad, peer mentoring, alumni and industry mentoring and leadership development is at its core. This Center will truly serve CAHNRS and Extension in achieving our mission and goals. The Center will also enhance the college’s response to students, alumni, and industry needs.
Please accept this letter as my support and endorsement for the creation of The Center for Transformational Learning and Leadership within the College of Agricultural, Human, and Natural Resource Sciences at Washington State University.
Sincerely,
Daniel J. Bernardo
Vice President for Agriculture and Extension
Dean, College of Agricultural, Human, and Natural Resource Sciences
WASHINGTON STATE UNIVERSITY
Department of Human Development
May 11, 2013
Robert Greenberg, Chair Faculty Senate
PO Box 1038
Pullman, WA 99164-1038
Dear Dr. Greenberg,
I am writing this letter in suppmt of the College of Agricultural, Human and Natural Resource Sciences (CAHNRS) and Extension’s development of The Center for Transformational Learning and Leadership. This unit will serve as student support center for supporting undergraduate research, industry internships, international experiences, professional mentoring, serving learning, networking, and professional development.
The development of the center is the result of the coordinated effmts of the CAHNRS academic programs administration, the CAHNRS academic depmtments, and WSU Extension. By promoting hands-on learning and connections with external pmtners, the center will help make our graduates even more competitive for continuing education or employment after graduation. I am confident that, once initiated, it will contribute significantly to the. quality of undergraduate experiences in CAHNRS and WSU. I strongly suppmt its creation.
Sincerely,
Thomas G. Power, Pd.D.
Professor and Chair
Washington State University
College of Agricultural, Human and Natural Resource Sciences
Department of Apparel, Merchandising, Design and Textiles
May 17, 2013
Robert Greenberg
Chair of Faculty Senate
PO Box 1038
Pullman, WA 99164-1038
Dear Dr. Greenberg,
I am writing this letter in support of the College of Agricultural, Human and Natural Resource Sciences (CAHNRS) and Extension’s development of The Center for Transformational Learning and Leadership. The goal of the Center is to provide a gateway for a total educational experience for our students. Itwill provide students, alumni and industry partners with a “go-to” place to come together in a unified front to prepare our students to be the best.
The conceptual framework for The Center for Transformational Learning and Leadership is based on solid experiential learning theory of foundation, integration and translation . This model creates opportunities for students to acquire the requisite kill set of their chosen career (Foundation) ; develop interpersonal communication and leadership skills necessary to effectivel y work with others (Integration) ; and opp01iunities to apply what they have learned in a professional setting (Translation).
The Center will be a service and teaching unit that will focus on internships, international study abroad, peer mentoring , alumni and industry mentoring and leadership development , allowing CAHNRS and Extension greater advances in achieving our mission and goals.
Please accept this letter as my enthusiastic suppo1i for the creation of the CAHNRS Center for Transformational Learning and Leadership.
Sincerely,
Joan Ellis
Associate Professor and Chair Apparel, Merchandising , Design and Textiles
WASHINGTON STATE UNIVERSITY
Department of Horticulture
May 29,2013
Robert Greenberg, Chair Faculty Senate
PO Box 1038
Pullman, WA 99164-1038
Dear Dr. Greenberg,
It is with great pleasure that I provide this letter of support for the College of Agricultural, Human and Natural Resource Sciences (CAHNRS) and Extension’s development of The Center for Transformational Learning and Leadership. When fully operational, the Center will fulfill an important need in providing many of our students, alumni and industry partners with a “go-to” place to connect with each other and to network.
The Center will be a service and teaching unit that will focus on internships, international study abroad, peer mentoring, alumni and industry mentoring and leadership development. Once formed, this Center will be unique for WSU in serving to facilitate and enhance the ability of CAHNRS departments and units to respond to students, alumni and industry needs in an integrated way . The Center will truly serve CAHNRS and Extension in achieving our mission and goals.
On behalf of all the faculty, staff, students, alumni, and stakeholders associated with the Department of Horticulture, I fully support the creation of the CAHNRS Center for Transformational Learning and Leadership. Please do not hesitate to contact me with any questions and I thank you in advance for your support of this exciting new endeavor.
Sincerely,
N. Richard Knowles
Chair and Professor
WASHINGTON STATE UNIVERSITY
College of Agricultural, Human, and Natural Resource Sciences
Office of the Dean
June 3, 2013
Dr. Robert Greenberg, Chair Faculty Senate
PO Box 1038
Pullman, WA 99164-1038
Dear Bob:
I am writing this letter to express my strong and enthusiastic support for The Ce11terjor Tra11sformatio11a/ Leaming a11d Leadership (CILL,), which the College of Agricultural, Human and Natural Resource Sciences (CAHNRS) and Extension wish to pursue as a high priority, major new educational initiative.
The CTLL will enhance the total educational experience of students by providing them with additional experiences that are synergistic with the academic knowledge they obtain in their study programs . These include the development of effective interpersonal communication skills, developing the ability to network in a highly productive manner, gaining first-hand awareness of the context and workings of real business and professional environments, and an understanding of how to apply their educational experience in the real-world, facilitating graduates to enter into their chosen occupations in a “job ready” state. Some of the methods by which the CTLL will ensure that these additional synergistic experiences are obtained include internships (\V’SU, local, regional, and international), study abroad programs, job shadowing, industry/ company site visits, industry-based career mentors, well as on campus panel-discussions with industry representatives and mock interviews and career coaching using industry mentor s.
An overarching goal of the CTLL is to provide a connection point between students, alumni, and industry, facilitating students’ entty into the workforce, meeting the growing needs of our 21st century dynamically evolving businesses and industries, and contributing to the educational goals of CAHNRS and Extension. I hope you will join us in supporting this important and valuable new educationalinitiative.
Sincerely,
Ron Nlittelhammer
Interim Dean, CAHNRS Regents Professor
June 4, 2013
Robert Greenberg, Chair Faculty Senate
PO Box 1038
Pullman, WA 99164-1038
Dear Dr. Greenberg,
I am writing this letter in support of the College of Agricultural, Human and Natural Resource Sciences (CAHNRS) development of The Center for Transformational Learning and Leadership. The Center will provide students, alumni and industry partners an opportunity for continuing education and professional advancement.
WSU Extension is part of CAHNRS and Ianticipate that Extension faculty and staff will take advantage of leadership development opportunities offered by the Center. Extension currently has some 39 county administrators and an additional 10-12 unit administrators . As associate dean and director of Extension Iam actively seeking ways for these administrators to develop leadership skills. The Center will be a valuable asset in this regard.
Please accept this letter as my support for the creation of the CAHN RS Center for Transformational Learning and Leadership.
Sincerely,
Richard T. Koenig, PhD
Associate Dean and Director
Appendix A: Original Concept Note
Discussion Frame for Creating a Center for Transformational Learning and Leadership Prepared by K. Kidwell, March 28 2013
Goal of the Center: Provides a gateway for creating a total educational experience for students that includes building a solid academic foundation, developing effective interpersonal communication skills, and applying these skills to real-world situations so that graduates are well prepared to enter the work force. Students will acquire essential:
Discipline-based skills related to their career interest area. (Foundation)
Interpersonal communication skills to communicate their knowledge effectively to others and to work successfully with people. (Integration)
Opportunities to work with industry pminers so that they can apply what they are learning to actual work scenarios as pmi of their college training experience. (Translation).
Foundation (Content- based)
Integration* (Context- creates a framework for communicating content to others in an effective manner.)
Translation (Application- allows students to apply what they have learned in an effective manner in professional settings.)
• Course work • Academic advising • Tutoring • Faculty mentoring • Attend seminars, panel discussions, debates, etc. that relate to their discipline or area of interest
• HD 205 [COMM]: Developing Effective Communication and Life Skills • New capstone [CAP] courses for Fall14: 1) Outdoor adventure team building course; 2) Service learning-based team building course; 3) Transitioning from college to life course. • Integrate life skill components into context courses: 1) AFS core; 2) AMT 440; 3) other? • Student Workshops: resume building, navigating conflict, time management, etc. • Life Skill Enhancement Workshops for Faculty and Staff • On-Line Tidal Leadership Certificate Program (pilot launched Spr 13) • Develop a peer mentoring program. *Every student must be able to access these opportunities if we intend to support the entire CAHNRS student body with integration.
• Internships – WSUbased – Local/regional/international • Study abroad • Job shadows • Industry/company site visits • Industry-based career mentors • Panel discussions on campus with industry representatives • Mock interviews with industry personnel. • Career coaching from industry mentors (live or on- line). 170
Rational for creating an Endowed Center:
The Center will serve as the “go to” place for students, alumni and industry partners to connect with each other and to network.
Courses delivered by Center Staff will generate revenue that could be used to fund salaries and operations for the unit. The Center has the potential to be self- sustaining financially.
Most CAHNRS students are working to support their education, and they cannot participate in integration activities without financial assistance. Funding generated from the endowment will be used to provide competitive scholarships for students to pmiicipate in activities to so that anyone in the college has an opp01iunity to participate regardless of financial status.
Funding creates petmanency. If a sustainable funding model is created for the Center, it will become a petmanent entity in the college.
Discussion Points with Alumni, Industry Partners, Friends and Potential Donors: The overall goal is to supp01i students with gaining experience beyond university boundaries that allows them to enter the work force with valuable knowledge that accelerates their “first job” learning curve.
Questions to consider:
If your child were to attend WSU, what “beyond the book” experiences would you want them to have that would convince you that they had a value-added experience and were career ready upon graduation?
What experiences would you like your new employees to have upon hiring them from WSU that would prepare them to contribute to your organization from day 1?
How as industry patiners can you help us create these opportunities for CAHNRS students?
Appendix B: Drafted Informational and Marketing Materials
WASHINGTON STATEUNIVERSITY
World Class. Face to Face.
COLLEGE OF AGRICULTURAL , HUMAN, AND NATURAL RESOURCE SCIENCES
Dear CAH N RS Alumni and Fri ends,
KIM KIDWELL
Students are the lifeblood of the College of Agricultural , Human , and Natural Resource Sciences (CAHNRS), and it is my great privilege to work with Cougar alumni, friends, facul ty, and staff to create exception a learning and leadership experiences that equip CAHNRS graduates with the essential skills required for professional and personal success.
I am delighted to announce a new initiative to establish the CAHNRS Center f or Transformation a l Learning and Leadership, which is designed to support students with defining the essence of their extraordinary CAHNRS Coug experience by participatin g in high quality learning and leadership opportunities that make them “job ready, day 1.”
This book l et was designed to inspire you to partner with u s to create this Center. As a CANNRS Center for Transformation al Learning and Leadership contributor, you will:
Support student education, leadership involvement, and experiences; Have the chance to are your expertise and skill as a mentor;
Provide talented students with international education and study abroad opportunities enhance yow connection to the f utu re workforce in your discipline;
Thank you for considering this invitation to help shape excellence in the next generation of CAHNRS Cougs.
Executive Associate Dean, CAHNRS
Associate Dean of Academic Programs
The CAHNR S Center for Transformational learning and leadership will serve as a platform for ensuring academic and professional success. Assisting students in taking academic achievement to the next level, the Center will provide peer-led supplemental instruction, tutoring, academic coaching, and other services that provide the skills and strategies that ensure that CAHNRS Cougs excel.
CAHNRS students need access to high qua li ty support. The Center brings together faculty mentors, professional advisors, and peer-led student organizations that can significantly impact the CAHNRS Coug community.
As a CAHNRS Center for Transformational Learning and Leadership con tributor, you will support academics by:
Helping students achieve academic excellence;
Increasing coordination of faculty mentoring and professional advising; Creating student-led academic support groups;
Encouraging students to acquire, share, learn, and apply their knowledge.
The scholarship that allowed me to go to Rwanda for my internship is probably the single most important thing that happened when I came to WSU. CAHNRS offered me an intern- ship that transformed my education. The Center can make that happen tor more people .”
-Rowan Ringer Field Crop Management, Selah, WA
Experience
Teaching composing to villagers in Rwanda, Africa
WSU Children’s Center in Pullman
CAHNRS Cougs learn through experience. The CAHNRS Center for Transformational Learning and Leadership encompasses a variety of activities including internships, service learning, undergrad u ate research, study abroad opportunities, and other creative and professional work experiences. Well-planned , supervised, a nd assessed experiential learning programs can stimulate academic inquiry, civic engagement, career development, cultural awareness, leadership, and other professional and intellectual skills.
You know what it takes to run you r business or organization. Share that knowledge by partnering with the CAHNRS Center for Transformational Learning and Leadership .
As a CAHNRS Center for Transformational Learning and Leadership contributor, you will support student experience by:
Sourcing highly educated and motivated pre-professionals for your workplace;
Sharing your expertise and skill as a mentor;
Providing talented students with international education and learning broad opportunities;
Enhancing yo connection to CAHNRS Cougs and your future workforce.
My experience as a CAHNRS Coug has been incredible. I have been able to have experiences that have taught me so much. Having real-life, hands-on experiences makes what you have learned come to lite.”
-Kristen Wed am
Animal Science, Sunnyside , WA
Life Skills
Leadership is a fundamental value and a pervasive force through out the CAHNRS Coug experience. Leadership competency develops from experiences, knowledge, and practice . In the CAHNRS Center for Transformational Learning and Leadership, teaching skills in organization , reasoning , teamwork, and communication sets our students on a trajectory for success.
Through a highly respected academic program and innovative leadership initiatives, the CAHNRS Center for Transformational Learning and Leadership provides an outstanding series of outreach programs, seminars, and networking events for students, faculty, and alumni .
As a CAHN RS Center for Transformational Learning and Leadership contributor, you will support life skills enhancement by :
Creating the potential for world-class career and professional development workshops
Sponsoring CAHNRS leadership clubs and service organizations;
Providing a comprehensive and sustain future for the CAHNRS Ambassadors; Developing confidence and encouraging leadership skill development through real life application;
Participating in mentoring through community service activities.
I feel so lucky to be a CAHNRS Ambassador. This program is giving me skills that will stay with me throughout my entire life. The CAHNRS Ambassador program is a way to build confidence and be a part of my community. It is the essence of being a CAHNRS Coug.”
Corinne Markle
Interior Design, Everett, WA
Networking
The CAHNRS Cougs network is a support system for both students and alumni. The CAHNRS Center for Transformational learning and leadership will be the cornerstone to ensuring that meaningful networking opportunities are not only available, but are truly beneficial to everyone. The Center will act as the link for both students and alumni to connect to share interests, stories, and create lasting relationships.
The CAHNRS Center for Transformational learning and leadership will create a community of people who support and empower each other. Through the Center you will learn of new developments in your field: new tools, processes, leaders, training programs, products, and services. You may discover the solution to a problem you face at work, or provide a key piece of information that makes real difference in the life of someone in your CAHNRS network.
As a CAHNR S Center for Transformational learning and leadership contributor, you will support networking by:
Engaging with departmental a nd college faculty at various events;
Developing students’ skills by conducting career interviews; joining a network of student and alumni supporters, keeping in touch with fellow and future CAHNRS Cougs;
Connecting with students and alumni who are in your professional network .
We greatly appreciate WSU’s efforts in preparing the future leaders in agriculture, and in particular, those focused on organic agriculture, as they are vital to the continued innovation needed to advance the industry}}
-Chuck Eggert (’71) Owner and founder of Pacific Natural Foods
Success
An investment in the CAHNRS Center for Transformational learning and leadership is an investment in success! Through applied transformative experiences and programs, the Center prepares WSU CAHNRS Cougs to be professionally resilient, ethical leaders and global citizens . Through collaborations with faculty, alumni community, and business partners, the Center will provide learning opportunities and connect a network of CAHNRS Cougs that can support community, foster innovation, and contribute to their field of study.
Meeting CAHNRS Alumni furthered my educational experience and now I work for their compfiny, Pacific Natural Foods. I support the development of the CAHNRS Center for Transformational Learning and Leadership because I know it will be the key to ‘success for many CAHNRS Cougs.JJ ·
laurie. Mooney (’12)
Landscape Architect, Pacific Natural
Foods, Tualatin, Oregon
I am passionate about Human Development about people. Being a CAHNRS Coug was a great decision. I can’t imagine a better place to learn and grow. I now am leaving to further my study in a P/7.0. program. CAHNRS has built my confidence and my skills. I am leaving Pullman, but I will always be a Coug!
cindy Ola (’12)
Human Development, kennewick, WA
YOU HOLD THE KEY
Your support is the key to success. The CAHNRS Center for Transformational learning and leadership at WSU empowers students, alumni, friends, and faculty to creatively combine learning in the classroom with experiential activities and opportunities beyond our campus. How can you make a difference?
Create a high quality paid internship within your organization or business.
Participate in a professional mentoring program.
Investing CAHNRS Student Ambassadors.
Provide sustained and ongoing support for student clubs.
Sponsor a student travel scholarship for an international internship.
Develop your unique CAHNRS project .
Contribute your expertise. Share your knowledge to make meaningful connections. Support the next generation of leaders by giving today!
THANK YOU FOR CONSIDERING A CONTRIBUTION TO
Center for Transfomational Learning and Leadership
WASHINGTON STATE UNIVERSITY
World Class. Face to Face.
For more information about contributing to the CAHNRS Center for Transformational learning and leadership, contact Melissa Bean, melissa.bean@wsu.edu or 509-335-0505.
WASHINGTON STATE UNIVERSITY
World Class. Face to Face COLLEGE
The Center for Transformational Learning and Leadership
Interior design students build a Habitat for Humanity home.
The Center for Transformational Learning and Leadership
Washington State University is committed to empowering the next generation of leaders to be extraordinary contributors to society both profession ally and person ally. In 2013 we launched the Center for Transformational learning and Leadership (CTLL) to serve as the student support center for transformational learning activities. We foster industry internships, undergraduate research, immersion-based international experiences, professional mentoring, networking, service learning, leadership development, and life skill enhancement .
Your support is the key to creating access to these experiences for CAHNRS students, and we will leverage your investment wisely to support the development of the next generation of world -class leaders .
OPPORTUNITIES FOR SUPPORT
SCHOLARSHIPS $1,000-$25,000
CTLL’s scholarship program is designed to encourage and support out-standing, dedicated, deermirled students who seek opportunities to expand or enhance the learning and the classroom . Scholarships support:
Students travel to national conferences;
lnternational student travel;
Leadership training;
Student development and member participation in national and lnternational conferences and even;
Undergraduate intern experiences with extension, research, and teaching actually;
INTERNSHIPS WITHOUT BORDER S $ 2,500-$50,000
The Internship without Borders program provides support and networking opportunities for students to acquire immersion based experiences within top companies and organizations across the nation and abroad. Funding awarded from this program provides the financial means for students to explore learning, leadership and career development opportunities that are the best fit for career aspirations regardless of location . Funding Internships Without Borders supports:
Housing stipends;
Transportation stipends or scholarships;
Pre-internship leadership development training;
Professional mentorship.
TIDA llEA DERSHIP PROGRAM $5,000-$25,000
Personnel in the CTLL are working to create awareness of essential conscious communication skills required for success by providing interpersonal communication trainings and workshops. Participants explore strategies for transforming their ability to navigate difficult situations from a value-based perspective. Fnding the Tidal Leadership Program supports:
Annual Women ‘s Leadership Symposium;
Delivery of online training modules focused on life skill enhancement and leadership development;
Scholarships for outstanding campus leaders to attend leadership conferences ;
Travel for Tidal Leaders to come to camp us to share knowledge and to build networking communities with WSU personnel.
CA HNRS STUDENT AM BAS SA DORS ……$10,000-$10.0,000 ‘,j
The CAHNRS Student Ambassadors program is a cornerstone of the student experience within the college. Members within this group of high a liber students serve as the face, voice, and soul of the college at recruitment
YOU ARE THE KEY TO SUCCESS
You hold the key to the success of the Center for Transformational
Learning and Leadership. The $5 Million Challenge to establish the Center will take a team of alumni, friends, faculty, and students to accomplish.
Center Funding Goals
Scholarships $500,000
Scholarships $500,000
Internships without
Borders $25 0,000
Tidal Leadership $250,000
CAHNRS Student Ambassadors $250,000
CAHNRS Coug Mentor Network $250,000
Center Endowment $2 Million
Center Director Endowment………….$1.5 Million
CA HNRS COUG MENTOR NETWORI< $25,000-$200,000
The CAHNRS Coug Mentor Network is a program that encourages and supports the development of career men to ring relationships between alumni, industry leaders, undergraduates, graduate students, and recent alumni of CAHNRS. Alumni and industry partners share career experiences and wisdom with the next generation of young professionals in their fields through site visits, phone conversations, job shadowing, internships, panel discussions, etc. Funding the CAHNRS Coug Mentor Network supports:
On and off -campus interview training;
On-campus career networking opportunities;
On-campus panel discussion with industry representatives;
Resources to maintain the web portal for the network;
Scholarships and stipends for travel;
Technology for enabling network communication (Skype;:, Facetime).
CENTER ENDOWMENT $250,000-$5 MilliON
In order to create a sustainable platform for establishing transformational learning and leadership opportunities for CAHNRS students, staff and faculty, we seek to endow the CTLL. Endowed funds provide an essential means of generating long-term support for the Center. Gifts can be made to establish new endowments or to bolster current endowments. Funding the Center Endowment supports: ·.,
International learning and leadership opportunities;
Center leadership training and development;
Scholarships and stipend for student ;.,
Student clubs;
SUPPORT THESE CAHNRS AREAS OF EXCELLENCE
Agricultural & Food Business Economics
Agricultural Biotechnology
Agricultural Economics
Agricultural Education
Agricultural Technology & Production Management
Agriculture & Food Security
Animal Sciences
Apparel Design
Business Economics
Earth Sciences
Economic Development
Economics, Policy, and Law
Environmental & Resource Economics
Environmental & Ecosystem Sciences
Family & Consumer Sciences Education
Field Crop Management
Financial Markets
Food Science
Fruit & Vegetable Management
Human Development
Interior Design
Landscape Architecture
Landscape Design Implementation
Landscape, Nursery, & Greenhouse Management
Merchandising
Organic Agriculture Systems
Pre-Veterinary Medicine/Science
Quantitative Economics
Turfgrass Management
Viticulture and Enology
Wildlife Ecology & Conservation Sciences
COLLEGE OF AGR ICULTURAL, HUMAN, AND NATURAL RESOURCE SCIENCES
For m ore information about supporting the Center for Transformational learning and leadership, contact Melissa Bean, melissa.bean@wsu.edu or (509) 335-0505.
COLLEGE OF AGRICULTURAL, HUMAN, AND NATURAL RESOURCE SCIENCES
Center for Transformational Learning and Leadership
Online Tidal Leadership Certificate Program Tidal Leadership
Tidal Leadership shifts the focus from what you are to who you are and how you build effective working relationships with people regardless of your professional title. This program positively influences your ability to be an effective leader.”
FROM “TITLE” to “TIDAL”- A NEW APPROACH TO EFFECTIVE LEADERSHIP
Title-based leadership implies that someone has been appointed to lead based on the title of the position they hold, but in reality, even the loftiest title doesn’t necessarily reflect the ability of that person to make a positive difference on the job or anywhere else. Tidal leadership focuses on identifying and understanding the ebb and flow of the environment- whether that’s at work, in the community, or at home-and then adapting your leadership to be a positive influence.
CENTER FOR TRANSFORMATIONAL LEARNING AND LEADERSHIP
Washington State University’s n w’ Center for Transformational Learning and Leadership (CTLL), based in the College of Agricultural, Human, and Natural Resource Sciences, is offering a new non-credit, online certificate program to help you develop “tidal” leadership skills that will serve you well both professionally ard personally.
Engagement opportunities provided through the CTLL facilitate the development of successful leaders who realize that maximizing their ability to be a positive influence goes well beyond the mechanics of managing people and running an organization . It requires the ability to inspire and power there work synergistically together to create a shared vision of excellence, and to develop and then execute strategies for achieving shared goals. ·
TDAL LEADERSHIP CERTIFICATE PROGRAM
The CTLL encourages exploration of how to improve your ability to be successful leader-both professionally and personally. Whether you are an early career student or an experienced professional, we invite you to participate in the Tidal Leadership Certificate Program.
This program has enhanced my leadership ability. learned that it takes courage to be great. This is something /look forward to incorporating in my life and the lives of others.” -Gary Barquet, WSU Student
The Tidal Leadership Certificate Program is an online, transformational leadership certificate program intended for people who want to hone their leadership skills, or for people preparing to expand their responsibility level as a leader.
Participants enrolled in the Tidal Leadership Certificate program will explore what the terms “leader” and “leadership” mean. You will identify your leadership strengths and areas to focus on to improve your effectiveness as a leader. In addition you will discover your own personal leadership philosophy and throughout the program be offered exercises and activities that will provide maximum value for expanding your leadership skills.
About the Certificate
This certificate program consists of 8 asynchronous, online modules and 4 synchronous, online sessions.
Online modules are completed as TL Course 1 and TL Course 2. Only participants that complete both courses complete the requirements to obtain the certificate.
Participants will create a leadership portfolio consisting of at least one component per module that is designed to demonstrate leadership skill expansion over time.
This portfolio will be evaluated by a facilitator to determine if the goals and objectives of each exercise were achieved. ‘it satisfactory progress is made for all portfolio components in both courses, the participant will receive a Tidal Leadership Program certificate.
Training Modules
TL COURSE 1
Module 1: Tidal-Based vs. Title-Based Leadership-Explore current perspectives of leadership, and create a value-based platform upon which a personal vision of excellence in leadership will be built.
Module 2: Catching the Wave-Explore the principles of ACT (Acceptance and Commitment Training), the foundational theory that the certificate program is built upon.
Module 3: Discovering your Wake-Discover your natural behavioral tendencies, gain insight about your personality type and evaluate the influence these factors have on your effectiveness as a leader.
Module 4: Impact Zone-Gain an awareness of how you respond to challenging situations and then, from a place of personal accountability, make conscious choices to proactively address these situations.
The CTLL leadership programs are high quality and provide opportunities to expand excellence.”
-scot Hulbert
Professor and Scientist,
R. James Cook Endowed Chair in Cropping Systems Pathology
PROGRAM COSTS
GENERAL PUBLIC
TL Course 1 (Modules 1–4) …$995
TL Course 2 (Modules 5-8) …$995
Full Leadership Certificate … $1990
WSU FACULTY & STAFF
TL Course 1 (Modules 1–4) …$795
TL Course 2 (Modules 5-8) …$795
Full Leadership Certificate* …$1425
WSU STUDENTS
TL Course 1 (Modules 1–4) …$745
TL Course 2 (Modules 5-8) …$745
Full Leadership Certificate* .. $1 350
*Discounted price only applies for the full leadership certificate program (TL Courses 1 and 2) if both courses are paid for at the time of initial registration .
TL COURSE 2
Module 5: Swimming with Sharks, Conflict Navigation-Gain an understanding of the strengths and weaknesses of five common conflict navigation styles, and learn how to utilize each style effectively.
Module 6: Lost at Sea, Building Consensus-Explore team development, team decision-making processes, and consensus building.
Module 7: Becoming A Tidal Leader Warrior-Work with peer coaches and facilitators to develop and complete a minimum of two life- enhancing, action-based personal challenges .
Module 8: Charting the Course-Create a mechanism for assessing the alignment of personal behaviors with values that can be applied to real time experiences.
Who Can Enroll?
Enrollment is open to the general public, WSU faculty, staff and students.
Although no pre-requisites are required, this is a program designed for adult learners .
The Tidal Leadership Certificate:
Provides busy professionals the convenience of online learning;
Helps you explore value-based strategies for transforming your ability to make decisions and navigate challenging situations;
Enhances your awareness of how you communicate and empowers you ‘o hone your communication and relationship-building skills in both personal and professional settings;
Builds your resume with an online certificate from a world-class university.
Registration
Register now for the Tidal Leadership Certificate Program, by contacting us online at http://cm.wsu.edu/tidal , e-mailing us at ctll.leader@wsu.edu or calling (509) 335-0049.
Appendix C: CTLL Personnel
K. Kidwell, Short CV. August 2013
Professional Preparation Education and Training:
Ph.D., 1992: Plant Breeding and Plant Genetics, University of Wisconsin-Madison.
M.S., 1989: Plant Breeding and Plant Genetics, University of Wisconsin-Madison.
B.S., 1986: Agriculture Science, University of Illinois, Urbana-Champaign.
B.S., 1985: Genetics and Development, University of Illinois, Urbana-Champaign ..
Appointments:
Washington State University Executive Associated Dean, College of Agricultural, Human and Natural Resource Sciences (CAHNRS) 2012-present
Washington State University Associated Dean, Academic Program CAHNRS 2007 – Present
Washington State University Professor, Dept. Crop and Soil Sciences (CSS) CSS 2005-2007
Washington State University Associated Professor, Dept. 2000 -2005
Washington State University Assistant Professor, Dept. CSS Postdoctoral Associate 1994-2005
University of Wisconsin Postdoctoral 1993-1994, 2007-Present
Professional Recognition:
2012 American Society of Agronomy Fellow for 2012
2012 WSU Faculty Woman of Distinction, Washington State University.
2005-2006 Marian E. Smith Faculty Excellence Award, Washington State University (WSU)
2005 Excellence in Teaching Award, R.M. Wade Foundation, CAHNRS, WSU
2005 Teaching Award of Merit, Notih American Colleges and Teachers in Agriculture
2004 Faculty Award for Distinguished Service Learning, Community Service Learning Center, WSU
2003 Young Crop Scientist ofthe Year Award, Crop Science Society of America
LEADERSHIP TRAINING
Managing Innovations in Agribusiness. 1999 Monsanto-Sponsored Program. Kenan-Flagler Business School, University of North Carolina Chapel Hill.
Spectrum Trainings, Ten Week Intensive, Three Level Life Skill Enhancement Course, November 2002- January 2003, Boise Idaho.
2003 ESCOP/ACOP Leadership Development Program: A Professional Development Experience. Sponsored by the Experiment Station Committee on Organization and Policy and Academic Programs Committee on Organization and Policy.
TEACHING EXPERIENCE (Co-instructor; Effectiveness ratings are based on student evaluation where 5=highest rating; Numerical rating system was eliminated in 2003):
Human Development 205, Developing Effective Communication and Life Skills, 4 credits, Spring and Fall2004, 2005,2006, and Spring 2007,2010, Fall2011, Spring 2012, Fall2012. Total number of students: 1270
Agricultural and Food Systems 101, Introduction to Agricultural and Food Systems, Fall2008, 2009, 20 I 0, 2011, 2012. Total number of students: 222
Crop Science 498, Professional Internship (Preparation for International Internship in Rwanda), Spring 2012, 6 students
Agricultural and Food Systems 201, System Skills Development for Agricultural and Food Systems. Spring 2009, 2010. Total number of students: 57.
Crop Science 101, Introductory Field Crop Science, 3 credits, Fall Semester 1995*, 1996, 1997, 1998, 1999,2000,2001, 2002, 2003. Total number of students: 453.
Carter, A., V. DeMacon, G. Shelton, R. Higginbotham, K. Balow, J. Hansen, K. Kidwell, X. Chen, D. Engle B.-K. Baik, S. Guy, and C. Morris. 201_. Registration of’Sprinter’ wheat. Journal of Plant Registrations (in preparation). Plant Variety Protection Status Pending.
Kidwell, K.K., M.O. Pumphrey, G.B. Shelton, J.S. Kuehner, V.L. DeMacon, X. Chen, S.O. Guy, V.A. Jitkov, B.-K. Baik, T.J. Harris, C.F. Morris, D.A. Engle and W. Nyongesa. 201_. Registration of ‘Dayn’ wheat. Journal of Plant Registrations (in preparation). Plant Variety Protection Status Pending.
Kidwell, K.K., M.O. Pumphrey, G.B. Shelton, V.L. DeMacon, X. Chen, S.O. Guy, J.S. Kuehner, B.-K. Baik, C.F. Morris, D.A. Engle, W. Nyongesa and N.A. Bosque-Perez. 201_. Registration of’Glee’ wheat. Joumal of Plant Registrations (in preparation). Plant Variety Protection Status Pending.
Kidwell, K.K., G.B. Shelton, V.L. DeMacon, X. Chen, J.S. Kuehner, B.-K. Baik, D.A. Engle, and N.A. Bosque-Perez, 20_. Registration of ‘Diva’ Wheat. Joumal of Plant Registrations (in preparation).
Kidwell, K.K., G.B. Shelton, V.L. DeMacon, X. Chen, J.S. Kuehner, B.-K. Baik, D.A. Engle, and N.A. Bosque-Perez, 20_.Registration of ‘Babe’ Wheat. Journal of Plant Registrations (in preparation).
Kidwell, K.K., R.E. Allan, G.B. Shelton, V.L. DeMacon, X. Chen, J.S. Kuehner, B.-K. Baik, and D.A. Engle, 20_. Registration of’JD’ Wheat. Journal of Plant Registrations (in preparation).
DeMacon, V.L., K.K. Kidwell, D.K. Santra, G.B. Shelton, S.R. Lyon, X. Chen, J.S. Kuehner, B. Baik, D.A. Engle, K. Garland-Campbell and S.S. Jones. 2010. Registration of’Famum’ Wheat. Journal of Plant Registrations (submitted). Plant Variety Protection Number 200900327.
Kidwell, K.K., G.B. Shelton, V.L. DeMacon, J. Kuehner, B.K. Baik, D.A. Engle, and N.A. Bosque- Perez, A. Burke, A.H. Carter and X. Chen. 2009. Registration of’Whit’ wheat. Journal of Plant Registrations 3(3):279-282. Plant Variety Protection Number 200900350.
Kidwell, K.K., G.B. Shelton, V.L. DeMacon, X. Chen, J. Kuehner, B. Baik, D.A. Engle, A.H. Catter and N.A. Bosque-Perez. 2009. Registration of ‘Kelse’ wheat. Journal of Plant Registrations 3(3):269-Plant Variety Protection Number 200900351.
Kidwell, K.K., G.B. Shelton, V. DeMacon, C.F. Morris, D.A. Engle, J.W. Burns, R.F. Line, C.F. Konzak and J. Hatchett. 2002. Registration of ‘Zak’ Wheat. Crop Sci 42:661-662. Plant Variety Protection Number 200100257.
Kidwell, K.K., G.B. Shelton, C.F. Morris, R.F. Line, B.C. Miller, M.A. Davis and C.F. Konzak. 1999. Registration of ‘Scarlet’ Wheat. Crop Sci. 39:1255. Plant Variety Protection Number 200000190.
Selected Refereed Publications:
Catier, A.H., S.E. Cambron, H.W. Ohm and K.K. Kidwell. 2013. Identifying molecular markers associated with Hessian fly (Mayetiola destructor [Say]) resistance from the spring wheat cultivar (Triticum aestivum L.) ‘Louise’. Crop Science (in press).
Schramm, E.C., S.K. Nelson, K.K. Kidwell, and C.M Steber. 2013. Increased AFA Sensitivity Results in Higher Seed Dormancy in Soft White Spring Wheat Cultivar ‘Zak. Theoretical and Applied Genetics 126:791-803.
Lauer, J., C. Bijl, M.A. Grusak, S. Baenziger, K. Boote, S. Lingle, T. Cmier, S. Kaeppler, R. Boerma, G. Eizenga, P. Carter, M. Goodman, E. Nafziger, K. Kidwell, R. Mitchell, M.D. Edgerton, K. Quesenbeny, and M.C. Willcox. 2012. The scientific grand challenges of the 21st centmy for Crop Science Society of America. Crop Science Crop Science 52:1-7.
Carter, A.H., D.K. Santra, and K.K. Kidwell. 2012. Assessment of the effect of the GPC-Blallele on senescence rate, grain protein concentration and mineral content in hard red spring wheat (Triticum aestivum L.) from the Pacific Notihwest region of the USA. Plant Breeding 131:62-68
Santra, M. N. Ankrah, D.K. Santra and K.K. Kidwell. 2012. An improved wheat microspore culture technique for the production of double haploid plants. Crop Science 52:1-7.
Catier A.H., K. Garland-Campbell, C. Morris, and K.K. Kidwell. 2012. Chromosomes 3B and 4D are associated with several milling and baking quality traits in a soft white spring wheat (Triticum aestivum L.) population. Theoretical and Applied Genetics 124:1079-1096.
Catier, A.H., K. Garland-Campbell, and K.K. Kidwell. 2011. Genetic mapping of quantitative trait loci associated with impotiant agronomic traits in the spring wheat (Triticum aestivum L.) cross ‘Louise’ by ‘Penawawa’. Crop Sci. 51:1-12.
Baley, G.J., K.G. Campbell, J. Yenish, K.K. Kidwell and T.C. Paulitz. 2009. Influence of glyphosate application, crop volunteer and root pathogens on glyphosate-resistant wheat under controlled environment conditions. Pest Management Science 65:288-299.
Catier, A.H., X.M. Chen, K. Garland-Campbell and K.K. Kidwell. 2009. Identifying QTL for high- temperature adult-plant resistance to stripe rust (Puccinia striiformis f. sp. tritici) in the spring wheat (Triticum aestivum L.) cultivar ‘Louise’. Theoretical and Applied Genetics 114: 1119-1128.
Okubara, P.A., C.M. Steber, V.L. DeMacon, N.L. Walter, T.C. Paulitz, and K.K. Kidwell. 2009. Scarlet-Rz1, an EMS-generated hexaploid wheat genotype with tolerance to the soilborne necrotrophic pathogens Rhizoctonia so/ani AG-8 and R. myzae. Theoretical and Applied Genetics 119: 293-303 0
Santra, D., M. Santra, R. Allan, K.G. Campbell, and K. Kidwell. 2009. Genetic and molecular characterization of vernalization genes Vrn-Al, Vrn-Bl, and Vrn-Dl in spring wheat germplasm from the Pacific Notihwest region of the U.S.A. Plant Breeding 128 (6): 576-584.
Santra, D.K., X. Chen, K.G. Campbell, and K.K. Kidwell. 2008. Identification and mapping QTL for high-temperature, adult-plant resistance to stripe rust in winter wheat (Triticum aestivum L.) cultivar ‘Stephens’. Theoretical and Applied Genetics 117:793-802.
Walker, C., K. Garland Campbell, B. Carter and K. Kidwell. 2008. Identifying superior soft white wheat genotypes in diverse production environments using the solvent retention capacity test. Crop Science 48:495-506.
Santra, D.K., X. Chen, K.G. Campbell, and K.K. Kidwell. 2008. Identification and mapping QTL for high-temperature, adult-plant resistance to stripe rust in winter wheat (Triticum aestivum L.) cultivar ‘Stephens’. Theoretical and Applied Genetics 117:793-802.
Feng, P.C.C., G.J. Baley, W.P. Clinton, G.J. Bunkers, M.F. Alibhai, T.C. Paulitz, and K.K. Kidwell. Glyphosate inhibits rust diseases in glyphosate-resistant wheat and soybean. Proc. Natl. Acad. Sci. USA 102(48): 17290-17295.
Higginbotham, R.W., T.C Paulitz, and K.K. Kidwell. 2004. Virulence of Pythium species collected from wheat fields in eastern Washington. Plant Disease 88(9):1021-1026.
Higginbotham, R.W., T.C Paulitz, K.G. Campbell, and K.K. Kidwell. 2004. Evaluation of adapted wheat cultivars for tolerance to Pythium Rot root. Plant Disease 88(9): 1027-1032.
Smith, J.D., K.K. Kidwell, M.A. Evans, R.J. Cook and R.W. Smiley. 2003. Assessment of spring wheat genotypes for disease reaction to Rhizoctonia solani AG-8 in controlled environment and direct- seeded field evaluations. Crop Science 43:694-700.
Competitive Research Grant Funding Generated from 1994 to 2007: $5,656,309
Melissa McDonnell Bean
525 NW Robert Street Pullman, WA 99163
509-339-3387
Melissa.Bean@wsu .edu
Education
1994 Washington State University, Pullman, Washington Bachelor of Arts, Speech and Hearing Sciences
2003 Idaho State University, Pocatello, Idaho Master of A1ts, Sociology
Employment
Washington State University-Pullman , Washington Associate Director of Development 2013-Present
Currently working to secure major gifts to supp01i new development of academic center. Working with p01tfolio of corporations, foundations, alumni and industry leaders. Leading team effmts to supp01t the establishment of the center. Supervisory responsibilities for the internship coordinator and all fundraising for the center.
Washington State University- Pullman, Washington Assistant Director of Development 2011-2013
Worked as a major gift development officer in the College of Agricultural, Human and Natural Resource Sciences. Developed and implemented campaigns supporting Organic and Sustainable Agriculture, International Research and Agricultural Development and Student Scholarships. Developed strategy and fundraising marketing materials to suppmt campaigns. Assisted in the leadership restricted of the Office of Alumni and Friends. Secured more than $10 Million in private gifts.
Eastern Idaho Technical College Foundation- Idaho Falls, Idaho 2008-2011 Executive Director
Provided leadership and management of the Eastern Idaho Technical College Foundation including major gifts, corporate and foundation relations, annual giving, donor relations and research; served as the senior fund raising professional and chief major gifts officer with responsibility for directing a diverse fund raising operation, including volunteers, supervisory personnel, and support staff. Developed and implemented fundraising events, finance and investment committee and overall day to day operations of the foundation.
Taught introductory courses in Sociology, to both traditional and non-traditional students attending college. Selected required reading, created own testing and education materials for instruction, advised students on progress, and developed learning strategies for a variety of learning styles. Developed experiential/applied module for hands on learning opportunities.
Idaho State Department of Health and Welfare- Idaho Falls, Idaho 2006-2008 Regional Program Manager
Managed the Idaho regional operations of the Children’s Mental Health, Adult Mental Health and Substance Abuse programs. Supervised the programs and services for 9 counties in Southeastem Idaho. Managed large regional budget for all services and personnel. Supervision of staff of over 50 individuals. Oversight and reporting of data collection and outcome accountability for programs and services. Supervised clinical services for Asse1iive Community Treatment Team, Crisis Services Team and Children’s Mental Health Team. Wrote grants and budgets for Behavioral Health extension services.
Help, Inc. and Snake River Children’s Advocacy Center- Idaho Falls, Idaho 2002-2006 Executive Director
Supervised the day-to-day operation of agency including financial, budgets, staff, programs and grants/grants administration, and individual fundraising. Wrote all grants for agency, as well as collaboration grants for local. Developed comprehensive marketing strategy and fundraising campaign to develop revenue to capital for new building. Hosted several large scale fundraising and awareness events. Private and grant supplied fundraising of $5 Million.
Developmental Options-Pocatello, Idaho 1999-2002
Coordinated the daily operation of the Developmental Disability Agency. Supervised and trained professional staff. Provided quarterly to the State Department of Health and Welfare. Monitored all billing and grant activity for unit. Worked directly with parents and clients to ensure services were appropriate and successful in promoting independent living skills.
Idaho State University- Pocatello, Idaho Adjunct Faculty Instructor, Department of Sociology 1999-2003
Taught introductory courses in Sociology, to both traditional and non-traditional students attending college. Selected required reading, created own testing and education materials for instruction, advised students on progress, and developed learning strategies for a variety of learning styles.
Southeastern District Health Department-Pocatello, Idaho VISTA Leader, Immunization Educator 1996-1998
Performed job duties as Volunteer in Service to America (VISTA). Designed and implemented several :fundraising events, wrote grants and approached individual businesses for donations. Coordinated an immunization coalition, which included several members of community agencies. Launched a successful Public Service Announcement campaign to increase immunization awareness throughout Idaho. Implemented a successful immunization reminder program in local hospitals.
Interviewed potential clients for legal representation. Organized and implemented computer system for case selection. Worked with clients in fuming statements for case review. Screened potential clients for service, investigating cases for attorneys as well as finding other resources and services when necessary.
Stevenson/Carson School District-Stevenson, Washington Communication Disorders Specialist Intern 1994
Worked as speech-language therapist in the school district. Worked with children K-12 in a variety of settings. Provided language and articulation therapy. Conducted Individual Education Plan Meetings, wrote Individual Education Plans and implemented all goals and objectives.
Washington State University Foundation-Pullman, Washington 1992-1993 Call Center Fundraising
Worked for the University Foundation office in fundraising. Called alumni for donations to various depmiments within the university. Worked as an assistant in the office to foundation staff to assist in mailing and donation follow up.
Affiliations
College of Agricultural, Human and Natural Resource Sciences Campaign Council
Washington State University Alumni Association
Idaho Falls Rotary
Exchange Club of Idaho Falls
Idaho State Parents as Teachers Steering Committee
Parents as Teachers Advisory Board
United Way of ldaho Falls and the Upper Valley Idaho State Regional Substance Abuse Coalition
Idaho State Region VII Mental Health Board
Idaho State Regional Children’s Mental Health Council
Professional Presentations
Juvenile Sex Offenders: A preliminary report.
1999
Southwestern Sociological Association Conference
Galveston, Texas
Family Violence Prevention: Family Risk Factors
National Parent Aide Conference 2002
Birmingham, Alabama
Family Violence Prevention: Strategies for Breaking the Cycle
Northwest Parenting Conference 2003
Vancouver, Washington
NBC and CBS Weekly Parenting Segments Idaho Falls and Pocatello, Idaho
2002-2006
Additional Training
Executive Leadership Exchange Center, Toledo Ohio
2002
Leadership in Incident Management Federal Emergency Management Agency
2007
Robert J Cooper
Clinical Assistant Professor Department of Human Development Washington State University
601C Johnson Tower Pullman, WA 99164
(509) 335 – 2442 robby.cooper@wsu.edu
EDUCATION
Ph.D., The Pennsylvania State University, 2012
Emphasis: Effects of Outdoor Orientation Programs on Transition to College Minor: Extension Education
Dissertation Title: Outdoor Orientation Programs: Recreation Socialization, Social Support and Identity Development in Emerging Adulthood
M.S., The Pennsylvania State University, 2010
Emphasis: Management of Public Recreation Areas
Thesis Title: Encounter Norms and Perceived Crowding on the White Salmon River in Southern Washington
B.S., Southeast Missouri State University, 2005
Emphasis: Outdoor I Adventure-based Recreation
PRESENT POSITION
Clinical Assistant Professor
Department of Human Development Washington State University
Center for Transformational Learning and Leadership
College of Agriculture, Human and Natural Resource Sciences Washington State University
PROFESSIONAL EXPERIENCE
Research Experience
2011
Graduate Research Assistant, Penn State University
Hickory Run I Lehigh Gorge State Parks Economic Impact Study Pennsylvania Department of Conservation and Natural Resources
Analyzed data and summarized in management report.
2008
Graduate Research Assistant, Penn State University National Visitor Use Monitoring Study
United States Forest Service
Conducted field interviews and managed research documents
2007
Graduate Research Assistant, Penn State University Pennsylvania Visitor Use Monitoring Study
Pennsylvania Department of Conservation and Natural Resources
Conducted field interviews and managed research documents.
2006-2007
Graduate Research Assistant, Penn State University TimeWise Leisure-time Intervention: York Project
Managed research project; met with partner agencies and local stakeholders; adapted and facilitated delivered)’ of program implemented within a 5′” grade physical education curriculum; collected, analyzed and reported data.
Applied Experience
2010-present
Program Manager
Urban Service Experience Orientation Program
Shavers Creek Environmental Center, Penn State University
Design program schedule, lesson plans, assignments and activities; coordinate accommodations, partner agencies and cultural experiences; hire, train and manage staff; lead all aspects of program schedule.
2012-present
Assistant Program Director
ORION Wilderness Experience Orientation Program Shavers Creek Enviromnental Center, Penn State University
Assist program director with all aspects of program, including: staffing, coordinating with partner agencies, management of documents, execution of ceremonies and activities and risk management.
2008-2011
Logistics Coordinator
ORION Wilderness Experience Orientation Program Shavers Creek Environmental Center, Penn State University
Managed all logistical aspects of program, including: equipment, supplies, food, water drops, transportation, route planning and maps; hired and trained logistics staff; coordinated emergency response and evacuation procedures.
2008-2010
Trip Leader
ORION Wilderness Experience Orientation Program Shavers Creek Environmental Center, Penn State University
Led program trip, supervised students, taught backpacking skills, administered wilderness medicine as needed, introduced students to university and local area,facilitated social bonding.
Research Presented at Technical and Professional Meetings
Cooper, R.J. (Presenter),
Graefe, A.R. & Mowen, A.J. (2013). Outdoor Orientation Programs and Transition to College. Northeastern Recreation Research Symposium, Bolton Landing, NY, April.
Cooper, R.J. (Presenter),
Graefe, A.R., Mowen, A.J., Zinn, H.C. & Yoder, E. (2012). Recreation socialization through university outdoor orientation programs. Northeastern Recreation Research Symposium. Cooperstown, NY, April.
Mowen, A.J. (Presenter),
Graefe, A.R., Trauntvein, N.E. & Cooper, R.J. (2012). Preliminary results from a survey of Hick01y Run I Lehigh Gorge State Park visitors. Northeastern Recreation Research Symposium. Cooperstown, NY, April.
Cooper, R.J. (Presenter),
Graefe, A.R. & Burns, R.C. (2011). Effects of visitor perceptions of crowding, conflict and norms. Northeastern Recreation Research Symposium, Bolton Landing, NY, April.
Cooper, R.J. (Presenter),
Graefe, A.R. & Burns, R.C. (2010). An examination of encounter nonns, perceived crowding and conflict on the White Salmon River in southern Washington state. National Association of Recreation Resource Planners Conference, Portland, OR, May.
Cooper, R.J. (Presenter),
Graefe, A.R. & Burns, R.C. (2010). An examination of encounter norms, perceived crowding and conflict on the White Salmon River in southern Washington state. Northeastern Recreation Research Symposium, Bolton Landing, NY, April.
Conference Proceedings
Cooper, R.J., Graefe, A.R. & Burns, R.C. (2011).
Effects of visitor perceptions of crowding, conflict and norms. Proceedings of the 2011 Northeastern Recreation Research Symposium.
Hickory Run I Lehigh Gorge State Park economic impact survey. Report submitted to Pennsylvania Department of Conservation and Natural Resources.
Invited Presentations
Speaker at Recreation Management and Sport Administration Conference, Department of Recreation and Sport Management, Lock Haven University, November 15, 2010. Title: Running from Research? Revolt!.
Teaching Experience
Washington State University
HD 205 Communication and Life Skills
Pennsylvania State University
RPTM 480 Senior Management Seminar
RPTM 297C Backpacking Leadership
RPTM 330 Adventure-Based Recreation Program Leadership
RPTM 356 Programming in Recreation Services
RPTM 530 Graduate Research Methods
RPTM 330 Adventure-Based Recreation Program Leadership
RPTM 440 Adventure- Based Programming and Administration
RPTM 297D Backpacking Leadership
RPTM 297C Urban Service Experience
KINES 089 Wilderness Experience
RPTM 120 Leisure and Human Behavior
PROFESSIONAL AFFILIATIONS
National Recreation and Park Association
Society for Prevention Research
CERTIFICATIONS
Wilderness First Responder
SOLO Wilderness Medicine and Emergency School Conway, NH
Abbie DeMeerleer
1107 College St. • Colton, WA 99113 • 509-432-5587 (home) • abbiedem@wsu.edu
Emphasis in student development, leadership theory and land-grant institutions
Washington State University
B.S.- Agricultural Conummications
Cum Laude (3.7 GPA)
PULLMAN, WA
August 2000 -May 2005
Emphasis in journalism, crop science, media and marketing methods
Minor : Agricultural Economics
CAHE Aggie of the Year (2005), WSU President’s Award (2004), CAHE Outstanding Freshman of the Year (2000)
Professional Experience
WSU- College of Agricultural, Human and Natural Resource Sciences PULLMAN, WA Clinical Assistant Professor July 2011 – current
Teach Human Development 205 (Developing Effective Communication &Life Skills) for 112 students per semester; two-75 minute weekly lectures and facilitate four-2 hour discussion labs per week
Convert course content to PowerPoint delivery system; incorporate interactive media components for the majority of lectures
Validate that course content meets University CORE course standards (Communication CORE)
Develop and facilitate leadership and life skill workshops for WSU audiences of 5-200
Faculty advisor for CAHNRS Student Ambassador program of up to 40 students; serve as liaison for CAHNRS and the Washington State FFA; support and co-coordinate recruitment materials and workshops
Co-create and deliver an online leadership certificate program (Tidal Leadership)
Guest lectures in AFS 10I and VM 500
Member of the CAHNRS Scholarship Selection Committee
Freshman Focus course coordinator and liaison for HD 205 (2012)
Common Reading committee, CAHNRS representative; nominator of the 2012-13 WSU Common Reading book, The Immortal Life of Henrietta Lacks
Mentor and manage two graduate and two undergraduate teaching assistants/timeslip workers
WSU- College of Veterinary Medicine Academic Coordinator PULLMAN, WA December 2009- July 2011
Established and managed the organization and efficiency ofthe CVM Office of Student Services.
Provided assistance, support, advice and knowledge to the Associate Dean for Student & Academic Affairs.
Academic advisor to approximately 390 professional DVM students during an academic year; informational resource to all members of the CVM concerning all aspects of the professional DVM academic program; liaison between the DVM students and CVM administration, faculty, staff and WSU administration; Registered Student Organization advisor for all veterinary student RSOs.
Maintained all DVM student records; compiled and submitted all veterinary student grades, ranks, and academic deficiency notifications/ committee liaison; prepared and completed all enrollment reports required by various governing bodies.
Ex officio member on all major CVM committees : Student Progress Committee, Curriculum Committee, Attendance Committee, Student Faculty Council, CVM Safety Committee, Dean’s Advisory Committee; served as Chair for the CVM Scholarship & Awards Committee .
Scheduled all DVM courses for years 1-3 to include day, time, location and faculty instructor; scheduled all DVM exams for years 1-3, including formal exam day, time and location; served as liaison to the Registrar’s office and submitted all major/minor course changes for the CVM.
CVM Disability Resource Center liaison for all student accommodations, maintained confidential records, made arrangements with/for all CVM faculty to meet the designated student accommodations.
Managed the entire CVM Scholarship & Awards process for approximately $560,000 provided through 330 awards; coordinated and ran the committee meetings and selection process; co- designed a new electronic database and application system; served as treasurer for Phi Zeta (veterinary medicine honorsociety); acted as emcee for the annual CVM Awards Dessert event for 3 years.
Coordinated, planned and facilitated the annual Cougar Orientation & Leadership Experience (COLE) for all newly admitted, incoming DVM students.
Independently planned and coordinated all aspects of the CVM Graduation ceremony, Senior Brunch and Transitions Ceremony.
Responsible for three Student Services budgets; managed and allocated funds for the two CVM emergency student loan funds.
WSU- College of Veterinary Medicine PULLMAN, WA Assistant Director of Admissions/Recruitment Officer Apri12005 -December 2009
Developed, updated and remain accountable to a CVM strategic recruitment plan, managed CVM recruitment budget, traveled throughout the US to recruit potential students, reported directly to admissions committee on the character and nature of students.
Oversaw and helped coordinate the annual DVM admissions process, served as an ex officio member of the faculty selection committee, helped run data on applicant pool/admitted class for AAVMC, WICHE, WSU and CVM reports.
Provided general DVM academic advising to prospective undergraduate students (approximately 120 scheduled meetings/year and numerous additional drop-in meetings), as well as submitting prerequisite coursework evaluations for various US institutions.
Coordinated and managed prospective student visits, managed tours of the CVM facilities- both individual and group visits (nearly 200/year).
Created and managed three major recruitment events annually- Pre-Vet@ Washington State (PAWS) for high school students, Discover Veterinary Medicine @ WSU (DVM@WSU) for current collegiate students across the nation and “A Day in the Life of a Veterinarian” track for the Cougar Quest summer event geared toward junior high and high school students. All events required extensive planning, scheduling, coordination of guest speakers/ catering/room reservations/ guest housing, fiscal management of events and post-event evaluation.
Active participant in numerous university-wide recruitment/student events, academic career fairs and prospective student advising visits (approximately 70/year) with non-enrolled students
Redesigned recruitment and admissions publications to have greater appeal among the publication’s target audience, designed new college brochures to create awareness among previously unattended target audiences
Designed and executed a prospective students website that has since expanded to include the admissions application and a prospective student blog, executed both Facebook and Myspace.com websites for CVM recruitment purposes, managed and designed pages for two lobby plasma screens used as marquees/information venues for the college
Established and maintained five listservs for recruitment and information purposes, developed e- newsletter sent monthly to prospective students and advisors, also developed and maintained a prospective student database.
Developed and managed the CVM student ambassador program and practicum, trained all CVM tour guides, assisted with VM 500- Animals, Society and the Veterinarian course, co-facilitated professional development curriculum at the AVMA Veterinary Leadership Experience (4 years) and WSU-CVM Cougar Orientation & Leadership Experience (4 years), also sat as a member of the college Leadership Team and present/co-facilitate at additional professional development events.
WSU- CAHNRS Information Department PULLMAN, WA Communication Internship August 2004 – April 2005
Wrote articles for various community and university publications including WSU Today and Extension Focus, assisted with layout and graphic design for college and university publications
Supported camera and A/V equipment management for teleconference meetings, edited and produced video news segments, provided voice-over on Extension video projects
Wrote and distributed press releases for various events within the college, completed transcription and did general scheduling/secretarial duties for a department of24 individuals.
National FFA Organization INDIANAPOLIS, IN National FFA Officer/Professional Development Trainer Nov. 2001- Nov. 2002
For a one-year recruitment campaign, I created and prepared presentation curriculum on topics such as: agriculture, communication, teamwork, leadership, vision, diversity, mission- writing, etc. The recruitment efforts increased organization membership by 5,000 students in one year.
Served as a keynote speaker at more than 15 engagements with an average attendance of lO,OOO, co-planned and executed three organization conventions for audiences ranging from 3,000-50,000 and averaged 12 three-day conferences each year.
Emceed a press conference and meeting with President George W. Bush and 100 FFA members; served as personal host to former Secretary of Agriculture Ann Veneman at the National FFA Convention.
Anchored the press conference to announce the organization’s convention move to Indianapolis with various television and print media news sources, also served as the public information source for the organization to various media outlets.
Traveled over 200,000 miles in the United States, Japan, and Europe to educate students about American agriculture, personal leadership and recruit them to join FFA; coordinated and managed logistics for a six-member presentation team.
WSU- CAHNRS Winter Wheat Breeding, Genetics & Cytology PULLMAN, WA Technical Assistant/Field Worker August 2000 -August 2004
Developed and maintained program website, assisted with DNA extractions and coleoptile research, maintained research records, planted nurseries in the greenhouse, emasculated wheat plants for traditional breeding, general lab upkeep, full-time summer field and harvest labor.
Johnson’s Jewelry Sales Associate MOSCOW,ID November 2002- June 2006
Responsible for jewelry consultation and sales, minor repairs, all engraving projects, designed and updated store window displays, coordinated shift scheduling for 4-7 employees, assisted with store bookkeeping, inventory management and inventory ordering.
City of Colfax Municipal Pool COLFAX, WA Manager/Lifeguard May 1995- September 2000
Oversaw and organized pre-season cleaning/maintenance/facility updates, assisted city council with lifeguard hiring, coordinated shift scheduling for approximately 10 employees, coordinated and oversaw three swim lesson sessions (for approximately 100 children/session), verified and submitted Red Cross certification paperwork, completed nightly and weekly deposits/budget management and season-end cleaning/winterizing/ employee reviews.
Publications
“Veterinary Medicine.” WSU College of Veterinary Medicine grabber-updated& revised. December 2008, August 2007, July 2006. This publication is used as the primary awareness tool for recruitment in the undergraduate, graduate and professional programs, as well as for development purposes.
WSU College of Veterinary Medicine Admissions brochure -updated & revised. April2009, April2008, March 2007, May 2006, May 2005. This publication is used for recruitment in the professional program and provides details regarding the application and admission process for the D.V.M. program.
“The Journey to Becoming a Veterinarian.” WSU College of Veterinary Medicine brochure. August 2005. This publication is used for awareness building in the junior high and early high school target audience.
WSU-CAHNRS College Award Banquet program. 2001,2003,2004,2005. Authored and co- authored the program, as well as assisted with layout and design.
“Meet Your Neighbor, Jim Cook.” Pullman Commnnity UPDATE. May 2005.
“4-H’ers learn judicial ropes during Olympia visit.” WSUToday/EXTENSION Today. April 22,2005.
“A Shade of Blue.” FFA New Horizons magazine. February/March 2005.
“Washington Tribal Nations and Washington State University Extension- A Summary of Activity for 2004.” WSU Extension Publications. March 2005. Assisted with writing, editing and layout design.
“Imported wasps will help control cereal leaf beetle.” WSU Today/EXTENSION Today. December 17, 2004.
“Language Institute immerses students.” WSU Today/EXTENSION Today. October 15, 2004.
Recruitment & Retention Coordinator, CAHNRS Academic Programs, WSU Aug 2013-Present
Development of college-wide recruitment and infmmational materials.
Coordination of recruitment and retention efforts of the college’s departments and schools. Liaison for WSU Enrollment Management and statewide community colleges and high schools.
Advisor for the CAHNRS Ambassadors student organization.
Coordination of Ambassador participation in statewide recruitment efforts as well as on- campus recruitment and retention events.
Advising Assistant, CAHNRS Academic Programs, WSU Aug 2010- Dec 2012
Provided advisement and counseling for prospective students.
Responded to student inquiries.
Assisted in the plmming of outreach and recruitment events.
Designed and edited web content.
Recruited potential students at university events and high school visits.
Served on hiring committee for mid-level administrative positions.
Conesponded with industry representatives, donors, faculty, administration, and students.
State FFA Officer, Washington State FFA Association May 2008- May 2009
Underwent extensive training in leadership, workshop creation and presentation, public speaking, teamwork, and teaching.
Became well educated on many diverse aspects of the agricultural industry including many areas of natural resources.
Facilitated a minimum of 100 workshops and performed numerous public speeches for students from over 300 Washington high schools and over 100 California high schools.
Aided in the planning, execution, and presentation of a 4-day convention at which there was an attendance of over 3,000 people.
Traveled a minimum of20,000 miles within Washington to educate high school students as well as to California and Indiana to attend conventions all on a very limited budget.
Retail Sales Clerk, VF Outlet Seasonal2007- 2012
Gained experience in providing quality customer service, using cash registers, keeping accurate inventory, and managing a warehouse.
Horse Farm Technician, Helland Horse Farm Jun 2006- Jul 2008
Upgraded and updated a barn with water, electricity, and horse stalls including the removal of concrete and the creation of new foundation.
Constructed and wired high-tension electric fences for over 3 acres of pastures and paddocks.
Gained experience in heavy machinery operation, construction, electrical engineering, and landscaping.
Learned to work independently and overcome obstacles without supervision.
Education:
Washington State University, Pullman, WA 2009-2013
Y 3.76 cumulative GPA
Y Agricultural Education major
Y B.S. in Agricultural and Food Systems
Y Includes 4 months of student teaching and a WA State Teaching Certificate
Centralia Community College, Centralia, WA 2006-2008
Y 3.35 cumulative GPA
Y Running Start enrollment
Rochester High School, Rochester, WA 2004-2008
Y 3.73 cumulative GPA
Y Challenging course load
Y Honor roll 4 years
Technology Proficiencies
Y Microsoft Office, Excel, Publisher, PowerPoint, Outlook, SharePoint
Y Adobe Dreamweaver, Photoshop, Acrobat
Y Pinnacle Studio
Y WordPress
Y HTML-based web design
Y Hardware management & installation
Offices, Achievements, and Participation:
Y CAHNRS Ambassadors Vice Facilitator
Y WSU Ag. Ed. Club Vice President
Y Top 3 National FFA Job Interview CDE
Y Rochester FFA Chapter President
Y Rochester School Board Member
Y WSU Fencing Club Vice President
Y National Honor Society Member
Y Top 8 Washington FFA Parliamentary Procedure CDE Chairman
Y ASB Publicity Manager
Volunteer Service:
Y Leadership education & mentoring, 800+ hrs
Y Project Santa Toy Drive, 27 hrs
Y Thanksgiving Food Drive, 18 hrs
Y Walk-n-Knock Food Drive, 25 hrs
Y Tutoring, 20+ hrs
Y Relay For Life Cancer Walk, 75 hrs
Y Firewood For The Elderly, 28 hrs
Y Senior Services Auction, 10 hr
Y Roadside cleanup, 50+ hrs
Hobbies & Interests:
Y Classic car & motorcycle restoration
Y Construction, welding, & engineering
Y Math & technology
Y Outdoor sports and recreation
Y Fencing, swimming, & racquetball
Y Raising animals & growing plants
References:
Kim Kidwell,
Exec. Associate Dean CAHNRS at WSU
(509) 335-4562
2020 Wilson Rd
Marilyn Colyar,
Student Teach Supervisor College of Ed at WSU
(253) 265-6323
7801 281 St Ct NW
Jodi Momoe,
Executive Secretary Washington FFA Asc.
(360) 725-6244
P.O. Box 47200
KATIE NICKELS
1535 NE MERMAN DR F1• PULLMAN, WA 99163 PHONE (425) 293-3635 • E-MAIL KATIE.NICKELS@EMAIL.WSU.EDU
WORK AND VOLUNTEER EXPERIENCE
CAHNRS Internship Coordinator, CAHNRS AP, Pullman, WA June 2013-Present
Responsibilities: Maintain all CAHNRS students’ internship paperwork and grades, and make sure all internship paperwork, handbooks and procedures are current and efficient in the Center of Transformational Learning and Leadership. Work with companies to create internship opportunities and set up CougLink. Act as the student liaison with the CAHNRS Ambassadors for recruitment needs for the CTLL, and serve as the AFA Campus Liaison.
Interim AFS/IPS and MS in Ag Coordinator, CAHNRS AP, Pullman, WA August 2012- May 2013
Responsibilities: Advise and manage all AFS and IPS undergraduate students, their files, and advising information, maintain SharePoint with AFS and IPS information, keep all advising sheets for AFS/IPS current and up to date, have a strong knowledge of zzusis system, and maintain academic achievement reports for students to graduate on time. Advise and manage all MS in Agriculture graduate students, their files, and advising information, maintain SharePoint with MS in Agriculture information, process MS in Ag applicants and current MS in Ag students’ paperwork within the program.
Advising Assistant CAHNRS Academic Programs, Pullman, WA Februmy 2010- Present
Responsibilities: Manage and respond to student inquiries, direct inquiries throughout the office, and develop spreadsheets to organize student and various information, assist the Dean and Associate Dean, and assist with the Master of Science in Agriculture Program and the AFS and IPS programs
Communications Intern National Association of Agricultural Educators, KY June 2012- July 2012
Responsibilities: Manage award applications, update databases of membership awards, wrote press releases for state and regional award winners, created PowerPoint presentations and scripts for convention, collected pictures for media information and promotional materials, and worked on webpage information.
Produce Specialist Schuh Farms, Stanwood, WA May 2006-August 2009
Responsibilities: Displayed produce and kept displays full, arranged craft displays, took and filled orders, ran the register, supervised other employees
Office Assistant Del Fox Meats, Stanwood, WA October 2006- August 2009
Responsibilities: Assisted customers with retail products, contacted customers to get cutting instructions or let them know their order was ready, input customer information into the database, and file customer’s order preferences for future use.
EDUCATION
August 2009-Present Washington State University, Pullman, WA Majors: Agricultural Education and Ag. & Food Business Economics Pending Graduation: May 2014
Graduated: June 12, 2009 Stanwood High School, Stanwood, WA Related course work: Leadership, Agricultural Science, Welding
Running Start: 2008-2009 Skagit Valley Community College, Mt. Vernon, WA Related course work: Microsoft office/Excel
Tech Prep Credit: 2008 Everett Community College, Everett, WA Related course work: Welding credits
LEADERSHIP
Agriculture Future of America Student Ambassador Washington State University Februmy 2012-April2013
Responsibilities: Represent AFA on the WSU campus and help to establish relations between CAHNRS and AFA and promote student involvement in AFA activities including AFA Leaders Conference, and two Leaders Institutes.
Contributions: Spoke to industry partners for continuing support with AFA and organized the annual AFA Leader’s Conference
CAHNRS Student Ambassador Washington State University December 2009-May 2012
Responsibilities: Represent the College of Agricultural, Human, and Natural Resource Sciences and Washington State University at events, promote CAHNRS to potential students, Facilitator position held from April2011-May 2012. This includes preparing meetings, coordinating travel plans for Ambassadors and planning for the Annual Retreat
Contributions: Organized and coordinated the presentations in high schools for the spring semester
District I President District IFFA Association March 2008 -March 2009
Responsibilities: Organized workshops, directed planning of major district events and activities, promoted the FFA organization
Contributions: Increased awareness of Agriculture and increased membership to the organization
National Honor Society Member Stanwood NHS Chapter May 2007-June 2009
Responsibilities: Wrote letters to local elementary students, volunteered at local events Contributions: Represented the high school in a professional manner
AWARDS
Washington State Student Employee of the Year April 2013
Washington State University Student Employee of the Year April 2013
Outstanding Student Employee for the CAHNRS Office 2011
Outstanding Freshman Nominee for CAHNRS April 2011
American FFA Degree Recipient October 2010
Presidential Award for Academics May 2009
FFA Agricultural Sales CDE second in the Nation October 2008
MARY KAY PATTON
PHONE (208) 553-0195 MARY KAY PATTON31@MSN.COM
EDUCATION
UNIVERSITY OF IDAHO COllEGE OF LAW, Moscow, Idaho. J.D. 1997.
GLASGOW UNIVERSITY, Glasgow, Scodand, U.K. Department of Law. Rotaty Scholar, 1993-94.
UNIVERSITY OF WASHINGTON, Seattle, Washington, B.A. Political Science with
Distinction, magna cumlaude, 1992;Phi Beta Kappa.
EMPLOYMENT
WASHINGTON STATE UNIVERSITY, lnstructor Pullman, JT:7A.
Served as lecturer and facilitated corresponding discussion sections of Human Development 205[C], Developing Effective Communication and Life Skills. Worked as a team to evolve course content and expand delivery opportunities including module development, assignment creation, facilitator training, teaching assistant training and the development of other supportive materials including particularly those that enhance experiential activities. Co-developing life skill enhancement workshops including an online leadership certificate. Co-creating upper division experiential outdoor leadership curriculum.
STRINDBERG & SCHOLNICK, LLC, Associate Attorne)TJ Salt Lake Ci!J’, UT
Civil practice emphasized labor and employment related matters. Case load included litigation arising under Tide VII of the Civil Rights Act, as well as wrongful discharge and employment at- willlitigation, and Section 1981 and 1983 claims.
LAW OFFICES OF CYNTHIA}. WOOLLEY, Associate Attome)TJ Ketchlllll, ID.
Litigated and negotiated labor and employment related matters. Involved in all stages of general litigation practice in contract, property, anti-trust and tort law.
SPECTRUM TRAININGS, INC. Facilitator a11d Program Dit·ector, Boise, JD.
Facilitated group process in dynamic experiential environment focusing on leadership, personal excellence and life enhancement. Assisted with curriculum and trainer development. \Vrote personal and professional trainings modules and staff manuals. Recruited CEO, facilitators, board members and volunteers. Coordinated volunteer staffs and enrollment efforts for various trainings, workshops and seminars. Generated business plan and training schedule.
Represented indigent capital defendants in all aspects of state post-conviction and direct appeals, including, but not limited to: motion and briefing practice, post-conviction hearings, contact visitation, expert witness consultation, mitigation work-ups and depositions. Attained resentencing for death row inmates, Shawn Eric Smid1 and Timothy Alan Dunlap. Represented indigent non-capital felons in post-conviction and direct appeals as state employee and independent contractor for sole-proprietorship, Patton Law Offices.
ACTIVITIES
Idaho Law Review, Spiral Dynamics training, facilitation apprenticeship, L tah County law clerk, writing lab tutor, Idaho Legal Aid/Nez Perce Tribe grantwriter, ROPES course crew, hiking, skiing, yoga (500 hr. teacher training) and traveling.
Anna P. Whitehall
Washington State University awhitehall@wsu.edu (509)335-0462
Education/Training
PhD Prevention Science, Washington State University, in progress MAHuman Development, Washington State University, 2008
BA Psychology, Western Washington University, 2004
Professional Experience
Washington State University Clinical Assistant Professor Instructor Teaching Assistant
Pullman, WA 2012- present
2008-2012
2006-2008
Eastmont School District Extended Day Program Director
East Wenatchee, WA 2005-2006
Intermountain AmeriCorps Extended Day Program Coordinator
Wenatchee, WA 2004-2005
Research Interest
I am interested in the implementation and evaluation of theory-based, large scale prevention and well-being programs in real-world setting with university students. Cunent projects include the application of Acceptance and Commitment Training (ACT) in a large university class to promote well-being in a real-world setting.
WSU Courses Taught
HD 205 Developing Effective Communication and Life Skills Fall 2008 -present
Professional Atiicles, Manuscripts Published and in Press
Deen, M.K., Parker, L.A., Hill, L.G., Huskey, M. & Whitehall, A.P. (in press).
Development · and implementation of a successful cultural competency training for extension and outreach professionals. Journal of Extension.
Whitehall, A.P., Hill, L.G., & Koehler, C.R. (2012). A comparison ofpatiicipant and practitioner beliefs about evaluation. The American Journal of Evaluation, 33, 208-220. DOl: 10.1177/1098214011423803
Professional Articles,’Manuscripts in Progress
Deen, M.K., Parker, LA., Whitehall, A.P., Hill, L.G., & Huskey, M. &. Mixed-methods analysis of cultural competence training program effects
Presentations and Workshops
Association of Professional Academic Coordinators, April 2009, Workshop FFA State Convention,.May2013., .Workshop: What’s your type?
FFA State Convention, May 2013, Workshop: What’s your brand?
4-H State Staff Retreat, June 2013, Invited Presentation: Mindful and Intentional Planning 4-H Teen Conference, June.2010- June 2013, Workshop: What is your type?
Professional Members
Society for Prevention Research Association for Contextual Behavioral Science
Professional Development
Strengthening Families FaCilitator Training, WSU, Mt. Vernon Washington, 2006 Association for Contextual Behavioral Science World Conference, Washington DC, 2012 Blended Classroom Boot camp, Atlanta Georgia, 2013
Society for Prevention Research Conference, San Francisco California, 2013
Motion carried.
Potential restructuring of Senate committees (Exhibit E1). – as follows:
January 24, 2014
To: Faculty Senate
From: Craig Parks, Chair, Committee on Committees
Re: Potential restructuring of Senate committees
Last semester the Senate asked the Committee on Committees (CoC) to look at the structure of the Budget, Graduate Studies, and Research and Arts committees to determine if they are adequate and appropriate given the current charges of those committees. This memo reports on CoC findings in regard to the Graduate Studies Committee.
The Graduate Studies Committee (GSC) consists of 14 faculty members, with each college having at least one representative and no college having more than two; five at-large graduate students; and ex officio representatives of the Graduate School, GPSA, Provost, and each urban campus Chancellor. The CoC studied the history of GSC to learn why there are 14 members, but could not discover the reason. Informally they were told that the number was set so that a quorum cannot be achieved unless the number of faculty members in attendance is more than the number of graduate students in attendance, but they find no written confirmation of this. The CoC also talked with Jon Yoder, the current chair of GSC, and examined the typical workload of GSC. The committee also noted that Academic Affairs processes more business with fewer members (12 faculty, two undergraduate) than does GSC. Finally, the committee realized that the membership charge merely requires at least one member from each college, and does not specify that members must come from colleges that offer graduate training. This means that the Honors College, for example, could demand voting representation on GSC. While it seems unlikely they would actually do so, the possibility is nonetheless there. The CoC thus recommends that membership of Graduate Studies be changed to one member from each college that offers graduate training, and the number of graduate-student members be reduced from five to three. This last change keeps in place the fact that a quorum will contain a majority of faculty members. Also, since graduate students are already at-large, and since GPSA has an ex officio member on GSC, the CoC sees no evidence that this last change will adversely affect representation of graduate-student interests.
Motion carried
Recommendation from Graduate Studies Committee for Graduate Major Change Bulletin #3 (Exhibit F) – J. Yoder
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