610262 profile 1535047377 1535048892 Kyriakos G. Vamvoudakis was born in Athens, Greece. He received the Diploma (a 5 year degree, equivalent to a Master of Science) in Electronic and Computer Engineering from Technical University of Crete, Greece in 2006 with highest honors. After moving to the United States of America, he studied at The University of Texas and he received his M.S. and Ph.D. in Electrical Engineering in 2008 and 2011 respectively. During the period from 2012 to 2016 he was a project research scientist at the Center for Control, Dynamical Systems and Computation at the University of California, Santa Barbara. He was an assistant professor at the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech until 2018. He is now an assistant professor at The Daniel Guggenheim School of Aerospace Engineering at Georgia Tech. His research interests include optimal control, reinforcement learning, and game theory. Recently, his research has focused on cyber-physical security, and safe autonomy. Prof. Vamvoudakis is the recipient of a 2018 National Science Foundation CAREER Award, the 2016 International Neural Network Society Young Investigator (INNS) Award, the Best Paper Award for Autonomous/Unmanned Vehicles at the 27th Army Science Conference in 2010, the Best Presentation Award at the World Congress of Computational Intelligence in 2010, and the Best Researcher Award from the Automation and Robotics Research Institute in 2011. He is a coauthor of one patent, more than 110 technical publications, and two books. He is the Program Chair, of the 8th International Conference on the Internet of Things (IoT 2018). He currently is an associate editor of the IEEE Computational Intelligent Magazine, an associate editor of Journal of Optimization Theory and Applications, an associate editor of Control Theory and Technology, a registered electrical/computer engineer (PE) and a member of the Technical Chamber of Greece. He is a Senior Member of IEEE.

]]> AE3531: Control Systems Analysis and Design, Fall 2018

]]> Dr. Vamvoudakis' research is multi-disciplinary and draws from the areas of control theory, game theory, renewable energy (smart grid) and computational intelligence. Interactions between self-interested agents along with nature-inspired approaches, are used to design and develop control system algorithms with guaranteed performance and stability where traditional techniques are unable to provide any solutions. His current research focus is game theory based network security and multi-agent optimization with applications to cyber-physical systems.

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