my resume Research Interests
Learning in games: evolutionary dynamics, distributed convergence to efficient outcomes in large games, equilibrium selection in games
Efficient decision making under uncertainty: distributed power flow in electricity networks, optimal advertising in social networks, distributed routing and power control in wireless communications, efficient glucose regulation for diabetic patients
Self-configured systems: distributed network formation and topology control in sensor networks, distributed estimation, distributed resource allocation
Complex networked systems: control of preferences and norm formation in social networks, control of cascade phenomena in complex networks
Operations research: differential games in advertising, pricing games in electricity markets
Doctoral Dissertation
G. Chasparis, "Distributed Learning and Efficient Outcomes in Uncertain and Dynamic Environments," PhD Dissertation, University of California, Los Angeles, Department of Mechanical & Aerospace Engineering, Los Angeles, CA, May 2008.
Master's & Diploma Theses
G. Chasparis, "Linear-Programming-Based Multi-Vehicle Path Planning with Adversaries," Master's Thesis, University of California, Los Angeles, Department of Mechanical & Aerospace Engineering, Los Angeles, CA, May 2004.
G. Chasparis, "Design of a Servomechanism Control System with Friction Compensation," (in Greek) Diploma Thesis, National Technical University of Athens, Department of Mechanical Engineering, Athens, Greece, Nov 2001.
Journal Publications & Book Chapters
G. Chasparis, Ari Arapostathis and J. Shamma, "Aspiration Learning in Coordination Games," 2011. (submitted for publication to SIAM Journal on Control and Optimization)
G. Chasparis and J. Shamma, "Network Formation: Neighborhood Structures, Establishment Costs, and Distributed Learning," 2011. (submitted for publication to IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics)
G. Chasparis and J. Shamma, "Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination and Network Formation," Dynamic Games and Applications, Volume 2, Number 1, Pages 18-50, 2012.
G. Chasparis and J. Shamma, "LP-based multi-vehicle path planning with adversaries," pages 261-279. In Shamma, Jeff (ed.), Cooperative Control of Distributed Multi-Agent Systems, John Wiley & Sons, February 2008.
E. Papadopoulos and G. Chasparis, "Analysis and Model-based Control of Servomechanisms with Friction," ASME J. Dynamic Systems, Measurement and Control, Vol. 126, No. 4, December 2004.
Peer-Reviewed Conference Papers
M. Maggio, G. Chasparis, E. Bini and K.-E. Arzen, "A Game-Theoretic Resource Manager for Real-Time Applications: Modeling, Analysis and Implementation," (submitted to) The Thirty Third Real-Time Systems Symposium (RTSS), 2012.
G. Chasparis, A. Arapostathis and J. Shamma, " Fair Scheduling in Common-Pool Games by Aspiration Learning," 8th International workshop on Resource Allocation and Cooperation in Wireless Networks, Paderborn, Germany, May 18th, 2012. (accepted)
G. Chasparis, J. Shamma and A. Rantzer, "Nonconvergence to Saddle Boundary Points under Perturbed Reinforcement Learning," 4th World Congress of the Game Theory Society, July 2012. (accepted)
G. Chasparis and J. Shamma, "Control of Preferences in Social Networks," 4th World Congress of the Game Theory Society, July 2012. (accepted)
G. Chasparis, J. Shamma and A. Rantzer, "Perturbed Learning Automata in Potential Games," 50th IEEE Conference on Decision and Control, Dec. 2011.
G. Chasparis and J. Shamma, "Information Flow and Active Social Influence in Social Networks," Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS), May 31st-June 1st, 2011, MIT, Boston, MA. (presentation)
G. Chasparis and J. Shamma, "Control of Preferences in Social Networks," 49th IEEE Conference on Decision and Control, Dec. 2010.
G. Chasparis, J. Shamma and A. Arapostathis, "Aspiration Learning in Coordination Games," 49th IEEE Conference on Decision and Control, Dec. 2010.
G. Chasparis and J. Shamma, "Efficient Network Formation by Distributed Reinforcement," 47th IEEE Conference on Decision and Control, Dec. 2008. (presentation)
G. Chasparis and J. Shamma, "Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination," Third World Congress of the Game Theory Society, July 2008.
G. Chasparis and J. Shamma, "Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination," European Control Conference (ECC), Greece, Kos, July 2-5, 2007.
G. Chasparis and J. Shamma, "The Emergence of Efficient Social Networks by Dynamic Reinforcement," Presented at the 4th Lake Arrowhead Conference on Human Complex Systems, April 25-29, 2007. (abstract, presentation)
G. Chasparis and J. Shamma, "Linear-Programming-Based Multi-Vehicle Path Planning with Adversaries," 24th American Control Conference (ACC), Portland, Oregon, Jun. 8-10, 2005.
E. Papadopoulos and G. Chasparis, "Analysis and Model-based Control of Servomechanisms with Friction," Proc. of the 2002 IEEE/RSG Int. Conference on Intelligent Robots and Systems (IROS '02), Lausanne, Switzerland, October 2002.
Invited Talks/Presentations
Distributed Learning & Equilibrium Selection in Coordination Games, Department of Automatic Control, Kungliga Tekniska högskolan (KTH), Stockholm, Sweden, August 25th, 2011.
Efficient Network Formation by Distributed Learning, DCL Graduate Student Symposium, Georgia Institute of Technology, Atlanta, GA, April 23rd, 2010.
Efficient Network Formation by Distributed Learning, Lund Center of Control of Complex Engineering Systems (LCCC), Lund University, Lund, Sweden, March 9th, 2010.
Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination, OPTEC, Electrical Engineering Department, Catholic University of Leuven, Leuven, Belgium, October 24th, 2008.
Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination, 4th Northeast Control Workshop, University of Maryland, College Park, MD, April 26-27, 2008.
Distributed Dynamic Reinforcement of Efficient Outcomes in Multiagent Coordination, Social and Information Sciences Laboratory, California Institute of Technology, July 30th, 2007.
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