GITA REESE SUKTHANKAR Educational Background Employment History

GITA REESE SUKTHANKAR

University of Central Florida E-mail : [email protected] 4000 Central Florida Blvd WWW : http://www.eecs.ucf.edu/˜gitars/ Orlando, FL 32816 Tel : (407) 823-4305 U.S.A.

Educational Background Ph.D., Robotics (School of Computer Science), Carnegie Mellon University, Aug 2007 Dissertation: Activity Recognition for Agent Teams Thesis advisor: Dr. Katia Sycara

M.S., Robotics (School of Computer Science), Carnegie Mellon University, May 2000 Cumulative QPA: 4.08/4.0 Coursework: software systems, artiﬁcial intelligence, machine learning, robot programming

A.B., Psychology, cum laude, Princeton University, June 1997 Senior thesis: A Computational Model of the Formation of Achromatic Afterimages Thesis advisor: Dr. Ron Kinchla

Employment History Department of Electrical Engineering and Computer Science - University of Central Florida Associate Professor and Charles N. Millican Faculty Fellow, 2013–present - Direct research on multi-agent systems in games and simulations, machine learning, robotics Afﬁliate Research Faculty, Institute for Simulation and Training, 2008–present Assistant Professor and Charles N. Millican Faculty Fellow, 2007–2013 The Robotics Institute - School of Computer Science - Carnegie Mellon University Graduate Research Assistant, 2003–2007 - Thesis research on team behavior recognition (see publications) HP Labs - Cambridge Research Laboratory (formerly Compaq/DEC). Member of Research Staff, 2000–2003 - Conducted research in Handhelds project (see publications) - Research on Smart Projectors project (patents and publications) The Robotics Institute - School of Computer Science - Carnegie Mellon University. Graduate Research Assistant/Programmer, 1998–2000 - Developed intelligent agent applications (see publications) - Maintained RETSINA multi-agent infrastructure system Center for Neural Basis of Cognition - Carnegie Mellon University. Research Programmer, 1997–1998 - Developed computational learning models in Matlab Teaching Course # Title Credits Class Semester # Students Excellent/Very Good CAP6671 Intelligent Systems 3.0 Graduate Spring 2014 31 - EGN3060C Intro to Robotics (with lab) 3.0 Junior Fall 2012 25 68.4% CAP6671 Intelligent Systems 3.0 Graduate Spring 2012 24 85.7% EEL 4818 Honors Machine Learning I (co-taught) Senior Fall 2011 16 NA EGN3060C Intro to Robotics (with lab) 3.0 Junior Fall 2011 23 75.0% CAP6671 Intelligent Systems 3.0 Grad Spring 2011 15 83.3% EEL 4817 Honors Machine Learning II (co-taught) Senior Spring 2011 6 NA EEL 4818 Honors Machine Learning I (co-taught) Senior Fall 2010 20 NA EGN3060C Intro to Robotics (with lab) 3.0 Junior Fall 2010 18 57.1% CAP6671 Intelligent Systems 3.0 Grad Spring 2010 24 75.0% EGN3060C Intro to Robotics (with lab) 3.0 Junior Fall 2009 24 85.7% CAP6671 Intelligent Systems 3.0 Grad Spring 2009 28 75.0% EGN3060C Intro to Robotics (with lab) 3.0 Junior Fall 2008 16 53.3% CAP6671 Intelligent Systems 3.0 Grad Spring 2008 13 63.6% CAP6938 ST: Activity Recognition 3.0 Grad Fall 2007 6 60.0%

Graduated Ph.D. Students Date Current Position Liyue Zhao May 2013 Publisher at Elsevier Jeremiah Folsom-Kovarik Feb 2012 Researcher at SoarTech Fahad Shah Oct 2011 Research Engineer at Microsoft Kennard Laviers June 2011 Assistant Professor at AFIT

Current Ph.D. Students Funding Hamidreza Alvari NSF CAREER Rahmatollah Beheshti NSF CAREER Erfan Davami NSF CAREER Alireza Hajibagheri NSF CAREER Astrid Jackson NSF CAREER Bennie Lewis Self Mahsa Maghami Self Bulent Tastan Self Xi Wang NSF CAREER

Masters Thesis Student Funding Awrad Mohammed Ali Self Educational Contributions ◦ Developed new course, CAP6671 (Intelligent Systems), taught on Tegrity since 2009 ◦ Developed new course, CAP6637 (Plan, Activity, and Intent Recognition), ﬁrst taught as a special topics course in fall 2007 ◦ Developed lectures and assignments for previously proposed course, EGN3060C (Introduction to Robotics) ◦ Set up robotics hardware and software for EGN3060C lab ◦ Service as faculty champion for the Intelligent Robotic Systems minor ◦ Faculty mentor for undergraduate students in the LEARN, EXCEL, and COMPASS programs Research Keywords: autonomous agents, multi-agent systems, activity recognition, teamwork, games, virtual worlds, human-robot interaction, social networks

2 Books

[1] Gita Sukthankar, Robert Goldman, Chris Geib, David Pynadath, and Hung Bui, editors. Plan, Activity, and Intent Recognition. Elsevier, 2014.

Book Chapters

[1] Gita Sukthankar, Robert Goldman, Christopher Geib, David Pynadath, and Hung Bui. An introduction to plan, activity, and intent recognition. In Gita Sukthankar, Robert Goldman, Chris Geib, David Pynadath, and Hung Bui, editors, Plan, Activity, and Intent Recognition. Elsevier, 2014. (to appear). [2] Kennard Laviers and Gita Sukthankar. Using opponent modeling to adapt team play in american football. In Gita Sukthankar, Robert Goldman, Chris Geib, David Pynadath, and Hung Bui, editors, Plan, Activity, and Intent Recognition. Elsevier, 2014. (to appear). [3] Liyue Zhao*, Xi Wang*, and Gita Sukthankar. Improving the supervised learning of activity classiﬁers for motion data. In Hans W. Guesgen and Stephen Marsland, editors, Human Behavior Recognition Technolo- gies: Intelligent Applications for Monitoring and Security, pages 281–302. IGI Global, 2013. [4] Gita Sukthankar, Randall Shumaker, and Michael Lewis. Intelligent agents as teammates. In Eduardo Salas, Stephen M. Fiore, and Michael Letsky, editors, Theories of Team Cognition: Cross-Disciplinary Perspectives, pages 313–343. Routledge Academic, 2011. [5] Gita Sukthankar, Katia Sycara, Joseph Andrew Giampapa, Christopher Burnett, and Alun Preece. An analysis of salient communications for agent support of human teams. In Virginia Dignum, editor, Multi- agent Systems: Semantics and Dynamics of Organizational Models, pages 284–312. IGI Global, 2009.

Journal Articles

[1] Rahmatollah Beheshti* and Gita Sukthankar. A hybrid modeling approach for parking and traffic prediction in urban simulations. AI and Society: Journal of Knowledge, Culture and Communication, 2014. (to appear). [2] Jeremiah Folsom-Kovarik*, Gita Sukthankar, and Sae Schatz. Tractable POMDP representations for intelligent tutoring systems. ACM Transactions in Intelligent Systems Technology, 4(2):29:1–29:22, March 2013. [3] Kirill Osipov-Lvoff* and Gita Sukthankar. AmalgaCloud: Social network adaptation for human and computational agent team formation. ASE Human Journal, 2:61–73, 2012. [4] Erfan Davami* and Gita Sukthankar. Online learning of user-specific destination prediction models. ASE Human Journal, 3:144–151, 2012. [5] Gita Sukthankar and Katia Sycara. Activity recognition for dynamic multi-agent teams. ACM Transactions in Intelligent Systems Technology, 3(1):18:1–18:24, October 2011. [6] Bulent Tastan* and Gita Sukthankar. Leveraging human behavior models to improve path prediction and tracking in indoor environments. Pervasive and Mobile Computing, 7:319–330, 2011. [7] Liyue Zhao*, Xi Wang*, and Gita Sukthankar. Recognizing household activities from human motion data using active learning and feature selection. Technology and Disability, 22(1-2):17–26, June 2010. [8] Gita Sukthankar and Katia Sycara. Analyzing team decision-making in tactical scenarios. The Computer Journal, 53(5):503–511, 2010. [9] Gita Sukthankar, Michael Mandel, and Katia Sycara. Planning for physically-embodied agents using realistic human motion models. Journal on Simulation and Gaming, 39:64–82, 2008. [10] Andrea Simmons, Gita Reese, and Michael Ferragamo. Periodicity extraction in the anuran auditory nerve: II. phase and temporal fine structure. Journal of the Acoustical Society of America, 93(6):3374–3389, 1993.

3 Conference Papers

[1] Erfan Davami* and Gita Sukthankar. Evaluating trust-based fusion models for participatory sensing applications (extended abstract). In Proceedings of the International Conference on Autonomous Agents and Multi-agent Systems, Paris, France, May 2014. (to appear). [2] Rahmatollah Beheshti* and Gita Sukthankar. A normative agent-based model for predicting smoking cessation. In Proceedings of the International Conference on Autonomous Agents and Multi-agent Systems, Paris, France, May 2014. (to appear). [3] Hamidreza Alvari*, Kiran Lakkaraju, Gita Sukthankar, and Jon Whetzel. Predicting guild membership in massively multiplayer online games. In Proceedings of the International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, Washington, D.C., April 2014. (to appear). [4] Bennie Lewis*, Bulent Tastan*, and Gita Sukthankar. An adjustable autonomy paradigm for adapting to expert-novice differences. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 1656–1662, Tokyo, Japan, November 2013. [5] Rahmatollah Beheshti* and Gita Sukthankar. Analyzing agent-based models using category theory. In IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pages 280–286, Atlanta, GA, November 2013. [6] Xi Wang* and Gita Sukthankar. Multi-label relational neighbor classification using social context features. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 464– 472, Chicago, IL, August 2013. [7] Xi Wang* and Gita Sukthankar. Link prediction in multi-relational collaboration networks. In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pages 1445–1447, Niagara Falls, Canada, August 2013. (Best Poster). [8] Mahsa Maghami* and Gita Sukthankar. Hierarchical influence maximization for advertising in multi-agent markets. In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pages 21–27, Niagara Falls, Canada, August 2013. [9] Alireza Hajibagheri*, Ali Hamzeh, and Gita Sukthankar. Modeling information diffusion and community membership using stochastic optimization. In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pages 175–182, Niagara Falls, Canada, August 2013. [10] Nicholas Bowen*, Jonathan Todd*, and Gita Sukthankar. Adjutant bot: An evaluation of unit microman- agement tactics. In Proceedings of the IEEE Conference on Computational Intelligence in Games, pages 336–343, Niagara Falls, Canada, August 2013. [11] Yuan Chang* and Gita Sukthankar. Exploiting key events for learning interception policies. In Proceedings of Florida Artifical Intelligence Research Society, pages 40–45, Tampa, FL, May 2013. [12] Rahmatollah Beheshti* and Gita Sukthankar. Improving Markov Chain Monte Carlo estimation with agent-based models. In Proceedings of the International Conference on Social Computing, Behavioral- Cultural Modeling, and Prediction, pages 495–502, Washington, D.C., April 2013. [13] Kirill Osipov-Lvoff* and Gita Sukthankar. Forming effective teams from agents with diverse skill sets. In Proceedings of the ASE/IEEE International Conference on Social Informatics, pages 44–48, Washington, D.C., December 2012. [14] Rahmatollah Beheshti* and Gita Sukthankar. Extracting agent-based models of human transportation patterns. In Proceedings of the ASE/IEEE International Conference on Social Informatics, pages 157– 164, Washington, D.C., December 2012. [15] Erfan Davami* and Gita Sukthankar. Online learning of user-specific destination prediction models. In Proceedings of the ASE/IEEE International Conference on Social Informatics, pages 40–43, Washington, D.C., December 2012.

4 [16] Liyue Zhao*, Gita Sukthankar, and Rahul Sukthankar. Importance-weighted label prediction for active learning with noisy annotations. In Proceedings of the IAPR/IEEE International Conference on Pattern Recognition, pages 3476–3479, Tsukuba Science City, Japan, November 2012. [17] Bulent Tastan*, Yuan Chang*, and Gita Sukthankar. Learning to intercept opponents in first person shooter games. In Proceedings of the IEEE Conference on Computational Intelligence in Games, Granada, Spain, September 2012. 100–107. [18] Jeremiah Folsom-Kovarik*, Gita Sukthankar, and Sae Schatz. Integrating learner help requests using a POMDP in an adaptive training system. In Proceedings of the AAAI Conference on Innovative Applications of Artificial Intelligence, pages 2287–2292, Toronto, CA, July 2012. [19] Mahsa Maghami* and Gita Sukthankar. Identifying influential agents for advertising in multi-agent markets. In Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems, pages 687–694, Valencia, Spain, June 2012. [20] Bennie Lewis* and Gita Sukthankar. Configurable human-robot interaction for multi-robot manipulation tasks (extended abstract). In Proceedings of International Conference on Autonomous Agents and Multi- Agent Systems, pages 1219–1220, Valencia, Spain, June 2012. [21] Bulent Tastan* and Gita Sukthankar. Learning policies for first person shooter games using inverse re- inforcement learning. In Proceedings of the AAAI Conference on Artificial Intelligence for Interactive Digital Entertainment, pages 85–90, Palo Alto, CA, Oct 2011. [22] Liyue Zhao*, Gita Sukthankar, and Rahul Sukthankar. Incremental relabeling for active learning with noisy crowdsourced annotations. In IEEE International Conference on Social Computing, pages 728–733, Boston, MA, Oct 2011. [23] Xi Wang* and Gita Sukthankar. Extracting social dimensions using Fiedler embedding. In IEEE Interna- tional Conference on Social Computing, pages 824–829, Boston, MA, Oct 2011. [24] Bennie Lewis* and Gita Sukthankar. Two hands are better than one: Assisting users with multi-robot manipulation tasks. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 2590–2595, San Francisco, CA, Sept 2011. [25] Xi Wang*, Mahsa Maghami*, and Gita Sukthankar. Leveraging network properties for trust evaluation in multi-agent systems. In IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pages 288–294, Lyon, France, Aug 2011. [26] Kennard Laviers* and Gita Sukthankar. A real-time opponent modeling system for Rush football. In Proceedings of the International Joint Conference on Artificial Intelligence, pages 2476–2481, Barcelona, Spain, July 2011. [27] Fahad Shah* and Gita Sukthankar. Using network structure to identify groups in virtual worlds. In Pro- ceedings of the International AAAI Conference on Weblogs and Social Media, pages 614–617, Barcelona, Spain, July 2011. [28] Fahad Shah* and Gita Sukthankar. Constructing social networks from unstructured group dialog in virtual worlds. In Proceedings of the International Conference on Social Computing and Behavioral-Cultural Modeling, pages 180–187, College Park, MD, Mar 2011. [29] Mahsa Maghami* and Gita Sukthankar. An agent-based simulation for investigating the impact of stereo- types on task-oriented group formation. In Proceedings of the International Conference on Social Com- puting and Behavioral-Cultural Modeling, pages 252–259, College Park, MD, Mar 2011. [30] Kennard Laviers* and Gita Sukthankar. A Monte Carlo approach for football play generation. In Pro- ceedings of the AAAI Conference on Artificial Intelligence for Interactive Digital Entertainment, pages 150–155, Palo Alto, CA, Oct 2010. [31] Liyue Zhao*, Xi Wang*, Gita Sukthankar, and Rahul Sukthankar. Motif discovery and feature selection for CRF-Based activity recognition. In Proceedings of the IAPR/IEEE International Conference on Pattern Recognition, pages 3826–3829, Istanbul, Turkey, Aug 2010.

5 [32] Syed Fahad Allam Shah*, Gita Sukthankar, and Chris Usher*. Modeling group dynamics in virtual worlds. In Proceedings of International AAAI Conference on Weblogs and Social Media, pages 327–330, Wash- ington, DC, May 2010. [33] Bennie Lewis*, Bulent Tastan*, and Gita Sukthankar. Agent assistance for multi-robot control (extended abstract). In Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems, pages 1505–1506, Toronto, CA, May 2010. [34] Kennard Laviers* and Gita Sukthankar. Identifying and utilizing subgroup coordination patterns in team adversarial games (extended abstract). In Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems, pages 1409–1410, Toronto, CA, May 2010. [35] Rawad Haddad and Gita Sukthankar. A psychologically-inspired agent for iterative prisoner’s dilemma. In Proceedings of Florida Artifical Intelligence Research Society, pages 2–7, Daytona Beach, FL, May 2010. [36] Syed Fahad Allam Shah*, Philip Bell*, and Gita Sukthankar. A destination recommendation system for virtual worlds. In Proceedings of Florida Artifical Intelligence Research Society, pages 475–476, Daytona Beach, FL, May 2010. [37] Liyue Zhao* and Gita Sukthankar. An active learning approach for segmenting human activity datasets. In Proceedings of the ACM International Conference on Multimedia, pages 765–768, Beijing, China, Oct 2009. [38] Kennard Laviers*, Gita Sukthankar, Matthew Molineaux, and David Aha. Improving offensive performance through opponent modeling. In Proceedings of the AAAI Conference on Artificial Intelligence for Interactive Digital Entertainment, pages 58–63, Palo Alto, CA, Oct 2009. [39] Syed Fahad Allam Shah*, Philip Bell*, and Gita Sukthankar. Agent-assisted navigation for virtual worlds. In Proceedings of the International Conference on Intelligent Virtual Agents, pages 542–544, Amsterdam, Netherlands, Sept 2009. [40] David Aha, Matthew Molineaux, and Gita Sukthankar. Case-based reasoning in transfer learning. In Proceedings of the International Conference on Case-Based Reasoning, pages 29–44, Seattle, WA, July 2009. [41] Bulent Tastan* and Gita Sukthankar. Exploiting human steering models for path prediction. In Proceedings of the IEEE International Conference on Information Fusion, pages 1722–1729, Seattle, WA, July 2009. [42] Matt Molineaux, David Aha, and Gita Sukthankar. Beating the defense: Using plan recognition to inform learning agents. In Proceedings of Florida Artifical Intelligence Research Society, pages 337–342, Sanibel Island, FL, May 2009. [43] Syed Fahad Allam Shah*, Philip Bell*, and Gita Sukthankar. Identifying user destinations in virtual worlds. In Proceedings of Florida Artifical Intelligence Research Society, pages 445–446, Sanibel Island, FL, May 2009. [44] John Reeder, Gita Sukthankar, M. Georgiopoulos, and G. Anagnostopoulos. Intelligent trading agents for massively multi-player game economies. In AAAI Conference on Artificial Intelligence for Interactive Digital Entertainment Conference, pages 102–107, Palo Alto, CA, Oct 2008. [45] Gita Sukthankar and Katia Sycara. Hypothesis pruning and ranking for large plan recognition problems. In AAAI Conference on Artificial Intelligence, pages 998–1003, Chicago, IL, July 2008. [46] Gita Sukthankar and Katia Sycara. Robust and efficient plan recognition for dynamic multi-agent teams (short paper). In Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems, pages 1383–1386, Estoril, Portugal, May 2008. [47] Gita Sukthankar and Katia Sycara. Policy recognition for multi-player tactical scenarios. In Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems, pages 59–65, Honolulu, HI, May 2007. [48] Gita Sukthankar and Katia Sycara. Efficient plan recognition for dynamic multi-agent teams. In Grace Hopper Women in Computer Science Conference, pages 204–208, Orlando, FL, October 2007.

6 [49] Gita Sukthankar, Katia Sycara, Joseph Andrew Giampapa, Christopher Burnett, and Alun Preece. Towards a model of agent-assisted team search. In Proceedings of the Annual Conference of the International Technology Alliance in Network and Information Science, College Park, MD, September 2007. [50] Gita Sukthankar and Katia Sycara. Simultaneous team assignment and behavior recognition from spatio- temporal agent traces. In Proceedings of the AAAI Conference on Artificial Intelligence, pages 716–721, Boston, MA, July 2006. [51] Gita Sukthankar and Katia Sycara. Robust recognition of physical team behaviors using spatio-temporal models. In Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems, pages 638–645, Hakodate, Japan, May 2006. [52] Gita Sukthankar and Katia Sycara. A cost minimization approach to human behavior recognition. In Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems, pages 1067– 1074, Utrecht, Netherlands, July 2005. Winner of student best paper award. [53] Gita Sukthankar and Katia Sycara. Identifying physical team behaviors from spatial relationships. In Proceedings of Conference on Behavior Representation in Modeling and Simulation, pages 142–149, Uni- versal City, CA, May 2005. Winner of recommended reading award. [54] Gita Sukthankar, Michael Mandel, Katia Sycara, and Jessica Hodgins. Modeling physical capabilities of humanoid agents using motion capture data. In Proceedings of International Conference on Autonomous Agents and Multi-Agent Systems, pages 344–351, NYC, NY, July 2004. [55] Gita Sukthankar, Michael Mandel, Katia Sycara, and Jessica Hodgins. Modeling physical variability for synthetic MOUT agents. In Proceedings of Conference on Behavior Representation in Modeling and Simulation, pages 332–341, Arlington, Virginia, May 2004. Winner of recommended reading award. [56] Sudha Reese, Gita Sukthankar, and Rahul Sukthankar. An efficient recognition technique for mine-like objects using nearest-neighbor classification. In Proceedings of Undersea Defence Technology Europe, Malmo, Sweden, June 2003. [57] Tat-Jen Cham, James Rehg, Rahul Sukthankar, and Gita Sukthankar. Shadow elimination and occluder light suppression for multi-projector displays. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pages 513–520, Madison, WI, June 2003. [58] James M. Rehg, Matthew Flagg, Tat-Jen Cham, Rahul Sukthankar, and Gita Sukthankar. Projected light displays using visual feedback. In Proceedings of the International Conference on Control, Automation, Robotics, and Vision, pages 926–932, Singapore, Nov 2002. [59] Rahul Sukthankar, Tat-Jen Cham, and Gita Sukthankar. Dynamic shadow elimination for multi-projector displays. In Proceedings of IEEE Computer Conference on Computer Vision and Pattern Recognition, pages 151–157, Kauai, HI, Dec 2001. [60] Onn Shehory, Katia Sycara, Gita Sukthankar, and Vikram Mukherjee. Agent aided aircraft maintenance. In Proceedings of International Conference on Autonomous Agents, pages 306–312, Seattle, WA, May 1999.

Additional Publications

[1] Liyue Zhao*, Yu Zhang, and Gita Sukthankar. An active learning approach for jointly estimating worker performance and annotation reliability with crowdsourced data. http://arxiv.org/pdf/1401.3836.pdf. [2] Rahmatollah Beheshti* and Gita Sukthankar. An agent-based transportation simulation of the UCF cam- pus. In Proceedings of SwarmFest, Orlando, FL, July 2013. [3] Bennie Lewis*, Bulent Tastan*, and Gita Sukthankar. Adapting to expert-novice differences in human- robot interaction. In AAMAS Workshop on Autonomous Robots and Multi-robot Systems, pages 256–270, St. Paul, Minnesota, May 2013.

7 [4] Mark Riedl, Gita Sukthankar, Arnav Jhala, Jichen Zhu, Santiago Ontanon, Michael Buro, and David Churchill. The Eighth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. AI Magazine, 34(1):87–89, 2013. [5] Peter Jacques, Claire Knox, and Gita Sukthankar. From Rio to Resistance: Direct observation of the climate denial counter-movement in social media. In Proceedings of the International Studies Association National Convention, San Francisco, April 2013. [6] Claire Knox, Peter Jacques, and Gita Sukthankar. Direct observation of climate-related narratives in social networks. In Proceedings of the American Society for Public Administration Conference, New Orleans, March 2013. [7] Claire Knox, Peter Jacques, and Gita Sukthankar. Climate change narratives in social networks: Case study using narrative policy framework and social amplification of risk framework. In Proceedings of the Conference of the Midwest Politiical Science Association, Chicago, April 2013. [8] Peter Jacques, Claire Knox, and Gita Sukthankar. Tweeting Sandy: Observed climate risk amplification before, during, and after hurricane Sandy. In Proceedings of the National Conference on Science, Policy, and the Environment, Washington, D.C., January 2013. [9] Bennie Lewis* and Gita Sukthankar. Configurable human-robot interaction for multi-robot manipulation tasks. In AAMAS Workshop on Autonomous Robots and Multi-robot Systems, pages 51–70, Valencia, Spain, June 2012. [10] Bennie Lewis* and Gita Sukthankar. Learning macros for multi-robot tasks. In Florida Conference on Recent Advances in Robotics, Boca Raton, FL, May 2012. [11] Mahsa Maghami* and Gita Sukthankar. Influence maximization for advertising in multi-agent markets (extended abstract). In Workshop on Complex Networks, Melbourne, FL, March 2012. [12] Bulent Tastan*, Yuan Chang*, and Gita Sukthankar. Learning motion prediction models for opponent interception (abstract). In Proceedings of Florida Artifical Intelligence Research Society, Marco Island, FL, May 2012. (Best Poster). [13] Liyue Zhao*, Gita Sukthankar, and Rahul Sukthankar. Robust active learning using crowdsourced annotations for activity recognition. In AAAI Workshop on Human Computation, pages 74–79, San Francisco, CA, Aug 2011. [14] Gita Sukthankar. Coupling plan recognition with plan repair for real-time opponent modeling. In Robert Goldman, Christopher Geib, Henry Kautz, and Tamim Asfour, editors, Plan Recognition (Dagstuhl Semi- nar 11141), volume 1, page 19. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik, 2011. [15] Xi Wang*, Mahsa Maghami*, and Gita Sukthankar. A robust collective classification approach to trust evaluation. In AAMAS Workshop on Trust in Agent Societies, pages 125–139, Taipei, Taiwan, May 2011. [16] Sumit Jha and Gita Sukthankar. Modeling and verifying intelligent automative cyber-physical systems. In Workshop for Developing Dependable and Secure Automative Cyber-Physical Systems, Troy, Michigan, Mar 2011. [17] Fahad Shah* and Gita Sukthankar. Using dialog for community detection in virtual worlds. In Proceedings of the International Network for Social Network Analysis Sunbelt Conference, St. Pete’s Beach, FL, Feb 2011. (extended abstract). [18] Gita Sukthankar. Imbuing human-robot teams with mutual predictability. In Proceedings of the Lorentz Center Workshop on Human-Agent-Robot Teams, Leyden, Netherlands, Dec 2010. (extended abstract). [19] Jeremiah Folsom-Kovarik*, Sae Schatz, Gita Sukthankar, and Denise Nicholson. What information does this question convey? Leveraging help-seeking behavior for improved modeling in a simulation-based intelligent tutor. In Proceedings of SpringSim Military Modeling and Simulation Symposium, pages 26:1– 26:8, Orlando, FL, Apr 2010. [20] Kennard Laviers* and Gita Sukthankar. Improving offensive performance through opponent modeling, 2009. (nominated for Best Student video at the IJCAI-09 AI Video Competition).

8 [21] Liyue Zhao* and Gita Sukthankar. A semi-supervised method for segmenting multi-modal data. In Pro- ceedings of the International Symposium on Quality of Life Technology, Pittsburgh, PA, June 2009. [22] Kennard Laviers*, Gita Sukthankar, Matthew Klenk, David Aha, and Matthew Molineaux. Opponent modeling and spatial similarity to retrieve and reuse superior plays. In Proceedings of the ICCBR Workshop on Case-Based Reasoning for Computer Games, pages 29–44, Seattle, WA, July 2009. [23] Kennard Laviers*, Gita Sukthankar, Matthew Molineaux, and David Aha. Exploiting early intent recognition for competitive advantage. In Proceedings of the IJCAI Workshop on Plan, Activity, and Intent Recognition, pages 58–63, Pasadena, CA, July 2009. [24] Bennie Lewis* and Gita Sukthankar. RSARSim: A toolkit for evaluating HRI in robotic search and rescue tasks. In Proceedings of Florida Conference on Recent Advances in Robotics, Jupiter, FL, May 2009. [25] Joseph Giampapa, Katia Sycara, and Gita Sukthankar. Toward identifying process models in ad hoc and distributed teams. In Proceedings of First International Working Conference on Human Factors and Com- putational Models in Negotiation, Delft, Netherlands, June 2008. [26] Gita Sukthankar, Matt Molineaux, and David Aha. Recognizing and exploiting opponent intent in rush football. Technical Report AIC-09-062, Naval Research Lab, Navy Center for Applied Research in Artiﬁ- cial Intelligence, Washington, DC, 2008. [27] Gita Sukthankar, Katia Sycara, Joseph Andrew Giampapa, and Christopher Burnett. A model of human teamwork for agent-assisted search operations. In Proceedings of Human Factors and Medicine Panel Symposium on Adaptability in Coalition Teamwork, Copenhagen, Denmark, April 2008. [28] Gita Sukthankar and Katia Sycara. Automatic recognition of human team behaviors. In Proceedings of the IJCAI Workshop on Modeling Others from Observations (MOO), Edinburgh, Scotland, July 2005. [29] Gita Sukthankar. The DynaDOOM visualization agent: A handheld interface for live action gaming. In AAMAS Workshop on Ubiquitous Agents on Embedded, Wearable, and Mobile Devices, Bologna, Italy, July 2002.

Invited Talks ◦ “Player Modeling and Game Analytics”, AAAI Spotlight and Senior Member Track (2013) ◦ “Practical Plan Recognition”, Symantec Lake Mary Retreat Keynote (2010) ◦ “Intention Recognition for Groups and Teams”, Cognitive Studies Student Association, University of Central Florida (2009) ◦ “Creating Social Systems”, EECS Industry Day, University of Central Florida (2009) ◦ “Robust and Efﬁcient Multi-agent Plan Recognition”, Naval Research Lab (2008) ◦ “Activity Recognition for Agent Teams”, EECS Seminar, University of Central Florida (2008) ◦ Women@SCS Graduate Outreach: Harvey Mudd (2005), Columbia (2004), Princeton (2004), Georgia Tech (2003) ◦ ”Handheld Interfaces for Live Action Gaming”, University of Tokyo (2002) ◦ “Open Source Software for Handheld Computing”, University of Toronto (2001) Patents

[1] Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, and James M. Rehg. Wireless multi-user multi-projector presentation system, 2003. U.S. Patent 7006055.

Grants/Funding: $1,506,398 ◦ PI (100%) 1/2013–12/2013 DARPA CSSG (Phase 3): Crowdsourcing the Anticipatory Analysis of Human Movement ($170,373) ◦ PI (50%) 6/2013–5/2014 In-house Grant: Acquisition of Robot Platforms for Research and Education in Hu- man Robot Interaction ($108,441)

9 ◦ PI (100%) 5/2009–5/2014 NSF CAREER: Modeling Group Dynamics in Multi-agent Systems ($434,943) ◦ PI (100%) 7/2010–8/2012 DARPA CSSG (Phase 2): Exploiting Social Context for the Anticipatory Analysis of Human Movement Systems ($400,000) ◦ PI (100%) 1/2009–11/2012 AFOSR YIP: Improving Synthesis and Recognition of Crowded Scenes using Statistical Models of Group Behavior ($299,714) ◦ PI (100%) 1/2009–12/2009 DARPA CSSG (Phase 1): Exploiting Psychological Models for Intent Inference ($100,000) ◦ PI (100%) 8/2008–12/2010 QoLTC Subcontract with Carnegie Mellon University: An Evaluation of Psychologically- Grounded Models for Human Activity Recognition ($47,148) ◦ PI (100%) 5/2009–6/2011 In-house Grant: Psychological Models for Intent Inference ($5004)

Professional Activities Service to the Department ◦ EECS Awards Committee (2009, 2010) ◦ EECS Graduate Committee (2009, 2010, 2011, 2012, 2013, 2014) ◦ EECS Faculty Search Committee (2009) ◦ EECS (CS) Website Committee (2013)

Service to the Profession ◦ Organizing committee, AAMAS Workshop on Agents, Virtual Societies, and Analytics (2014) ◦ Area chair, International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (2014) ◦ Senior program committee, International Conference on the Foundations of Digital Games (2014) ◦ Senior program committee, International Conference on Autonomous Agents and Multi-agent Systems (Robotics Track) (2014) ◦ General chair, AI and Interactive Entertainment (2013) ◦ Member, IEEE Computational Intelligence Society Technical Committee on Games (2013) ◦ Program chair, AI and Interactive Entertainment (2012) ◦ Co-chair, AAAI Symposia Series (2012-2015) ◦ Organizing committee, AAMAS Workshop on Multiagent Interaction Networks (2013) ◦ Senior program committee, AAAI Conference on Artificial Intelligence (2013, 2014) ◦ Program committee, International Conference on Intelligent User Interfaces (2014) ◦ Program committee, Ubicomp Workshop on Situation, Activity, and Goal Awareness (2012) ◦ Program committee, ASE/IEEE International Conference on Social Informatics (2012) ◦ Program committee, International Conference on Principles and Practice of Multi-Agent Systems (2012) ◦ Program committee, ASE/IEEE International Conference on Social Computing (2012, 2013, 2014) ◦ Program committee, AAAI Conference on Artificial Intelligence (2012) ◦ Program committee, International Joint Conference on Ambient Intelligence (2011) ◦ Program committee, AI and Interactive Entertainment (2011) ◦ Program committee, International Joint Conference on Artificial Intelligence (2011) ◦ Program committee, ICAPS Workshop on Goal, Activity, and Plan Recognition (2011) ◦ Organizing committee, AAAI Symposium on Proactive Assistant Agents (2010) ◦ Organizing committee, AAAI Workshop on Plan, Activity, and Intent Recognition (2010, 2011, 2013) ◦ Program committee, Conference of the Florida AI Research Society (2010, 2011, 2012) ◦ Associate editor, IEEE International Conference on Intelligent Robots and Systems (2010) ◦ Program committee, IEEE Computational Intelligence in Games (2010, 2012) ◦ Organizing committee (Doctoral Mentoring), International Conference on Autonomous Agents and Multi- agent Systems (2010) ◦ Organizing committee, IJCAI Workshop on Plan, Activity, and Intent Recognition (2009)

10 ◦ Publication chair, Pacific Rim International Conference on Multi-agents (2009) ◦ Program committee, IEEE/ACM International Conference on Intelligent Agent Technology (2009, 2010, 2011, 2012) ◦ Program committee, Foundation for Digital Games (2009, 2010) ◦ Program committee, AAAI, IJCAI Video Competition (2008, 2009, 2010, 2011) ◦ Program committee, AAAI Workshop on Modeling Others from Observations (2007) ◦ Doctoral mentor, International Conference on Autonomous Agents and Multi-agent Systems (2012) ◦ Program committee, International Conference on Autonomous Agents and Multi-agent Systems (2006, 2007, 2008, 2009, 2011, 2012, 2013) ◦ Program committee, International Conference on Autonomous Agents and Multi-agent Systems, Demo Track (2013) ◦ Member of National Center for Women in Information Technology (NCWIT) Academic Alliance ◦ Organizing committee, Conference for Undergraduate Women in Computer Science (2007) ◦ Editorial board, ASE Human Journal (2013) ◦ Reviewer, ACM CHI Conference on Human Factors in Computing Systems (2014) ◦ Reviewer, Data Mining and Knowledge Discovery (2014) ◦ Reviewer, Social Network Analysis and Mining Journal (2013) ◦ Reviewer, IEEE Transactions on Computational Intelligence and AI in Games (2013) ◦ Reviewer, Neural Networks (2011) ◦ Reviewer, IEEE Systems, Man, and Cybernetics (2010, 2011, 2012) ◦ Reviewer, IEEE Pervasive Computing (2009) ◦ Reviewer, The Computer Journal (2009) ◦ Reviewer, Artificial Intelligence Journal (2008) ◦ Reviewer, IEEE Pervasive Computing (2007) ◦ Reviewer, Journal of Artificial Intelligence Research (2006, 2007, 2008) ◦ Reviewer, Journal of Autonomous Agents and Multi-agent Systems (2006, 2007, 2008, 2010, 2013) ◦ Reviewer, International Conference on Mobile Systems, Applications, and Services (2004) ◦ Reviewer, AFOSR (2009, 2010) ◦ Reviewer, NSF (2009) ◦ Panelist, NSF (2008, 2010, 2011, 2011, 2012)

Thesis Committee Service ◦ Kevin Pfeil, (M.S., University of Central Florida 2013) ◦ Yang Yang, (Ph.D., University of Central Florida 2013) ◦ John Reeder, (Ph.D., University of Central Florida 2013) ◦ Brent Horine, (Ph.D., University of Central Florida 2012) ◦ Kishore Reddy, (Ph.D., University of Central Florida 2012) ◦ Sebastian Risi, (Ph.D., University of Central Florida 2012) ◦ Ramin Mehran, (Ph.D., University of Central Florida 2011) ◦ Philip Verbancsics, (Ph.D., University of Central Florida 2011) ◦ Paul Scovanner, (Ph.D., University of Central Florida 2011) ◦ Rawad Haddad, (Ph.D., University of Central Florida 2011) ◦ David d’Ambrosio, (Ph.D., University of Central Florida 2011) ◦ Cynthia Johnson, (Ph.D., University of Central Florida 2011) ◦ Feras Batarseh, (Ph.D., University of Central Florida 2011) ◦ Miguel Elvir, (M.S., University of Central Florida 2010) ◦ Jason Gauci, (Ph.D., University of Central Florida 2010) ◦ Jennifer Gage, (Ph.D., University of South Florida 2009) ◦ Yusuf Aytar, (M.S., University of Central Florida 2008) ◦ Matthew Howard (M.S., University of Central Florida 2008)

11 Selected Awards ◦ Best poster: International Conference on Advances in Social Networks Analysis and Data Mining (2013) ◦ ACM Senior Member (2013) ◦ UCF Research Incentive Award (2013) ◦ CECS Dean’s Research Professorship Award (2013) ◦ UCF Faculty Excellence for Doctoral Mentoring (Engineering and Sciences) (2012) ◦ IEEE Senior Member (2012) ◦ UCF CECS Distinguished Researcher Award (2011) ◦ Charles N. Millican Faculty Fellow (2010, 2012) ◦ NSF CAREER Award (2009) ◦ AFOSR Young Investigator (2009) ◦ ONR Summer Faculty Fellowship (2008) ◦ Best poster: International FLAIRS Conference (2012) ◦ Best student paper: International Conference on Autonomous Agents and Multi-Agent Systems (2005) ◦ Recommended reading list: Behavior Representation in Modeling and Simulation (2004 and 2005)