A proposal for FY13 UTK Organized Research Unit Funding Presented by: Dr. Lynne Parker, Director March 5, 2012

1. A proposal for FY13 UTK Organized Research Unit Funding Presented by: Dr. Lynne Parker, Director March 5, 2012

2. The Vision for CISML • Developinterdisciplinary theory and practice of intelligent systems and machine learning technologies • Enable cross-fertilizationof ideas from several individual disciplines • Attract increased external funding involving multiple faculty • Connect industry with curricula and research • Help UTK reach its Top 25 goal, by cultivating our established strengths in intelligent systems and machine learning • Attract more highly qualified students • Integratecurricular content and emphasize interdisciplinary study

3. CISML Organization Feb. 2012 Organizational and Management Chart COE Associate Dean for Research and Technology (Bill Dunne) Internal Advisory Board Bill Dunne, Engineering Chris Boake, Arts & Sciences Tom Ladd, Business Executive Board Contributing Faculty Affiliates Dr. Lynne Parker Director Director Lynne Parker (EECS) Associate Director Mike Berry (EECS) Program Manager Scott Wells Dr. Michael Berry Assoc. Director Faculty Affiliates Industrial Affiliates National Lab Affiliates ItamarArel (EECS) Michael W. Berry (EECS)Ham Bozdogan (SOMS) Daniela Corbetta (Psych) Wes Hines (NE) Bruce MacLennan (EECS) Lynne Parker (EECS) Hairong Qi (EECS) Shih-Lung Shaw (Geog) Wenjun Zhou (SOMS) Catalyst Repository Systems Huron Legal Link Analytics M-CAM (Others, TBD) Jacob Barhen John Goodall Tom Potok Vladimir Protopopescu Brian Worley Songhua Xu (Others, TBD) Mr. Scott Wells Program Manager Approved as a formal UTK Center in October, 2011

4. CISML UTK Faculty – From 3 Colleges, 4 Depts. • College of Engineering: • CISML Director: Dr. Lynne Parker, Electrical Engineering and Computer Science (EECS) • Dr. ItamarArel, EECS • Dr. Michael Berry, EECS • Dr. J. Wes Hines, Nuclear Engineering • Dr. Bruce MacLennan, EECS • Dr. HairongQi, EECS • College of Business Administration • Dr. Ham Bozdogan, Statistics, Operations, and Mgmt. Sci. (SOMS) • Dr. Wenjun Zhou, SOMs • College of Arts and Sciences • Dr. Daniela Corbetta, Psychology • Dr. Shih-Lung Shaw, Geography

5. CISML Nat’l Lab Affiliates – from 2 Divisions, 4 groups • Computer Science and Mathematics Division: • Dr. Jacob Barhen, Complex Systems Group • Dr. Tom Potok, Applied Software Engineering Group • Computational Science and Engineering Division • Dr. Brian Worley, CSE Director • Dr. Vladimir Protopopescu, CSE Chief Scientist • Dr. John Goodall, Cyber Security and Information Infrastructure Research Group • Dr. Songhua Xu, Early Career Biomedical Research

6. CISML Industry Affiliates • Each industry affiliate contributes $5K annually • In return, their benefits are: • Access to undergrad and grad students for internships, employment • Collaborative research with CISML • Access to all public domain software developed, with opportunities for licensing • Access to faculty and student research publications • Display of corporate logo on website • Participation in Industrial Affiliate workshop • Recognition as CISML Industrial Affiliate More industry affiliates being recruited …

7. External Funding Opportunities • Important sponsors with broad open BAAs relevant to CISML include AFOSR, ARO, DARPA, DOE, IARPA, NIH, NSF, ONR, etc. • Other Industries currently engaged with CISML faculty (but not yet Affiliates) include: Pilot Travel Centers, Voices Heard Media, Capital One, Computable Genomix, SAS, Luxottica Retail, Document Solutions, Inc., and Lockheed Martin Advanced Technology Laboratories

8. Opportunities are Numerous and Significant:Many potential applications  Many funding sponsors Example applications: • Energy applications • E.g., Building energy prediction • Environmental monitoring • E.g., prediction of volcanic eruptions • Geographic Information Systems • E. g., people tracking • Medical diagnosis • E.g., Breast cancer detection, diagnostic imaging, detection of cause of heart attack • Text and data mining • E.g., Electronic discovery • Cognitive computing and robotic learning • E.g., Using infant perceptual-motor learning • Reliability and prognostics • E.g., in nuclear reactors, multi-robot systems • Intelligent transportation systems • E.g., automatic detection of incidents, maximizing flow

9. Key Objective of CISML: Leverage Research Synergies to Pursue Multi-Collaborator Funding • Strategy: • Identify unique synergies amongst CISML Faculty, National Lab, and Industry Affiliates • Through extensive discussions, CISML seminars, cross-fertilization of ideas • Leverage synergies to pursue new directions for multi-collaborator, multi-disciplinary research • Explore and pursue opportunities to participate in UTK, State, and National Initiatives • E.g., in Energy/Power, national security and non-proliferation, manufacturing, etc. • Explore and pursue opportunities for Center-level funding • E.g., with NSF, DOE, etc.

10. Building CISML Synergies from Existing Competencies • CISML Affiliates have broad expertise in Intelligent Systems and Machine Learning: • Reinforcement learning, deep machine learning (Arel, Parker) • Text/data mining and knowledge discovery (Berry, Bozdogan, Goodall, Parker, Potok, Worley, Xu, Zhou) • Human infant perceptual and motor learning (Corbetta) • Cognitive learning (Arel, Corbetta) • Pattern recognition (Barhen, Berry, Hines, Parker, Qi) • Prognostics and diagnostics (Hines, Parker) • Embodied intelligence (Arel, Corbetta, MacLennan, Parker) • Collaborative/Cooperative/Distributed systems (Parker, Potok, Protopopescu, Qi) • Remote sensing (Barhen, Parker) • Biologically-inspired intelligence (Arel, MacLennan, Parker, Potok)

11. Active CISML Research Synergies • Identified thus far: • Using psychological studies of human infants’ grasping/manipulation learning to inform how to build smarter robotic systems • CISML Affiliates Involved: Arel, Corbetta, MacLennan, Parker • Preliminary research underway • Analyzing human infant grasping trajectories for identifying motion patterns • CISML Affiliates Involved: Corbetta, Parker • Preliminary research underway • Using models of visual attention built from human infant studies to develop high-performing computational models • CISML Affiliates Involved: Arel, Corbetta • Preliminary research underway • Using Microsoft’s Kinect motion sensing device to capture intensity and depth information to detect and create models for 3D objects • CISML Affiliates Involved: Parker, Arel • Preliminary research underway High Priority: Continue to define synergistic opportunities

12. Active CISML Research Synergies • Using locomotion tracking of fish larvae to predict biological and environmental behavior changes induced by drugs and toxins • CISML Affiliates Involved: Parker, MABE dept. faculty, • Preliminary research underway • Using algorithms to automatically catalog document objects and creates data types for ease of computational analysis • CISML Affiliates Involved: Berry, Catalyst Repository Systems • Preliminary research underway • Using novel technologies, including eye-tracking, for improving the search of relevant online literature based on the segmentation of image, text, and audio data • CISML Affiliates Involved: Berry, Xu • Preliminary research underway

13. Active CISML Research Synergies • Creating software (called PolyLens) to perform in-depth visual analysis of genome-scale polymorphism data • CISML Affiliates Involved: Berry • Preliminary research underway • Analyzing and increasing functionality of the Cyton Alpha 7D 1G arm via enhancement of the Robot Operating System (ROS) architecture • CISML Affiliates Involved: Parker, Arel • Preliminary research underway • Using Artificial Neural Network (ANN)-based classifiers to identify disturbances in electric power systems • CISML Affiliates Involved: Parker • Preliminary research underway

14. CISML Accomplishments since last review • Established a permanent/comprehensive web presence (http://cisml.utk.edu/) • Continued bi-weekly research seminar series; 18 seminars held to date (presentations available on website) • Produced center Bylaws (available on website) • Established a collaborative relationship with the Center for Brain-Like Computing and Machine Intelligence in Shanghai, China

15. CISML Accomplishments since last review • Developed annual Industry Affiliate Workshop (1st one held in April 2011) • Established a Distinguished Research Seminar Series co-sponsored by ORNL • Added three new Industry Affiliates • Added two new Faculty Affiliates Shih-Lung Shaw Geography Wenjun Zhou Statistics, Operations And Management Science

16. CISML Accomplishments since last review • Six proposal submissions • Produced multiple internships with existing industry affiliates • Established a new seminar course for PhD students in machine learning • Established a more unified presence with move into the new Min H. Kao building

17. CISML Plans and Goals for Year 3 (FY13) • Identification of new multi-investigator research synergies • Goal: 5+ new synergies identified • Increased number of multi-investigator proposals submitted • Goal: 6+ new proposals • Increased number of multi-investigator publications and presentations • Goal: 5+ papers/presentations • Increased interaction with potential sponsors • Goal: 4 visits and discussions with potential sponsors • Provide seed funds to CISML faculty for promising new research • Continuation of Distinguished Research CISML Seminar Series • Goal: 2 distinguished speakers • Increased number of Industrial Affiliate sponsors • Goal: 2+ new Industrial Affiliates • Increased number National Laboratory Affiliates • Goal: 1 new researcher

18. New CISML Activities for FY13 • Support travel for CISML faculty to visit potential research sponsors, research program planning workshops, etc. • Numerous federal funding sponsors, numerous faculty • Highly interdisciplinary nature and diversity of our research results in large pool of programs and program managers, etc. • Likewise, many workshops are offered • Support seed money research funds for CISML faculty to pursue preliminary investigations • Funds will be competitive • Require identification of specific funding opportunities to be pursued, expected publication venue(s), and expected benefit to CISML • Funds will primarily support student stipends • Faculty will be required to submit developed proposals through CISML

19. Emerging Synergies for FY13 • Grasping eDiscovery momentum with existing and prospective industry affiliates and ORNL • Build a coalition of CISML affiliates around the opportunities presented for developing new and novel algorithms and software for eDiscovery. • Definition: Electronic discovery (eDiscovery) is the process of collecting and analyzing electronic documents to determine their relevance to a legal matter. • Participants • Faculty affiliates: Berry, Parker, Zhou • ORNL affiliates: Goodall, Potok, Worley, Xu • Industry affiliates: Huron Legal, M-CAM, Catalyst Repository Systems

20. Emerging Synergies for FY13 • Vision and Strategy • Capitalize on new opportunities that have arisen to establish and continue developing learning-based technologies that assist software developers, service providers, and legal teams in efficiently and accurately identifying the most relevant documents for litigation. • Pursue center level funding via NSF’s Industry/University Cooperative Research Centers Program (I/UCRC) • Funding Amount - $10,000,000 • Centers funded – 2 - 8 From NSF Solicitation “The Industry/University Cooperative Research Centers (I/UCRC) program develops long-term partnerships among industry, academe, and government. An I/UCRC contributes to the Nation's research infrastructure base and enhances the intellectual capacity of the engineering and science workforce through the integration of research and education.”

21. Budget and Requested Funds for CISML

22. Expected Returns are Significant • Increased Funding: CISML will enable UTK faculty to attract significant collaborative funding that otherwise would not be possible. • Innovative Research: CISML will develop new research directions enabled by cross-fertilization of ideas, to achieve multi-disciplinary, collaborative synergies • International Recognition: CISML will be recognized as a national and international leader in intelligent systems and machine learning • Higher Caliber Students: UTK will be better able to recruit high-caliber undergraduate and graduate students and postdocs

23. Thank you for your consideration! Ham Bozdogan Michael Berry ItamarArel Daniela Corbetta Lynne Parker CISML Faculty Wenjun Zhou Bruce MacLennan Shih-Lung Shaw Wes Hines HairongQi

24. Backup Slides

25. Who is our “competition”? • Carnegie Mellon University, Machine Learning Department • 24 core faculty, 27 affiliated faculty, ~20 related faculty • Highly interdisciplinary • UC Berkeley, Center for Intelligent Systems • 26 faculty & research staff • Highly interdisciplinary • UC Irvine, Center for Machine Learning and Intelligent Systems • 30 faculty & research staff • Highly interdisciplinary • George Washington Univ., Center for Intelligent Systems Research • 12 faculty & research staff • Emphasis is on Intelligent Transportation Systems • Vanderbilt, Center for Intelligent Systems • 7 faculty & research staff • Emphasis is on robotics • University of Idaho, Center for Intelligent Systems Research • 6 faculty and research staff • Emphasis is primarily control By joining efforts, UTK’s CISML can become a highly competitive research center

26. Achieved All Year 1 Goals – As Presented Last Year • Integrate and increase research activity • Metric: # of proposals submitted • Accomplishment: 4 multi-CISML-investigator proposals submitted • Initiate research discussion groups • Metric: creation of regular discussion group meeting • Accomplishment: Bi-weekly seminar series begun; 9 held to date • Engage in CISML-relevant external workshops and symposia • Metric: faculty actively involved • Accomplishment: Significant faculty involvement in several relevant technical meetings • Integrate and enhance curricular offerings • Metric: development of showcase curriculum • Accomplishment: Underway; will be completed by end of year 1 • Establish a web presence • Metric: creation of the website • Accomplishment: Done (http://cisml.utk.edu)

27. Also Achieved More Ambitious Year 1 Goals – As Evolved During Year • We accomplished all original Year 1 goals • Additionally, we expanded our Year 1 goals to include: • Create Center infrastructure that will facilitate successful collaborations • Accomplishments: • Hired CISML program manager • Identified CISML office space • Applied for, and was approved, as official UTK Center • Identified personnel to handle CISML finance reporting • Identify research synergies among CISML Affiliates • Accomplishments: • Creation of regular research discussion group • Identification of 5 synergies thus far • Pursue funding opportunities that leverage research synergies • Accomplishments: • 4 proposals submitted thus far