Control and Game Theoretic Methods for Cyber-Physical Security. This item is unavailable.Control and Game Theoretic Methods for Cyber-Physical Security

• Serves as a bibliography on different aspects of security in cyber-physical systems
• Offers insights into security through innovative approaches, which amalgamate principles from diverse disciplines
• Explores unresolved challenges in the security domain, examining them through the lens of rigorous formulations from control and game theory
  

Aris Kanellopoulos received his diploma equivalent to a Master of Science in Mechanical Engineering from the National Technical University of Athens, Greece, in 2017. He studied at the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech and was awarded a PhD in Aerospace Engineering at the Georgia Institute of Technology. In 2022 he was a Research Engineer within Professor Kyriakos G. Vamvoudakis' group. He is currently a Postdoctoral Researcher with the Division of Information Science and Engineering at the Royal Institute of Technology, Sweden.

Lijing Zhai received her MS in Power Engineering and Engineering Thermophysics from Beihang University, Beijing, China, in 2018. She is currently working toward a PhD degree at the Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, USA. Her current research interests include cyber-physical security, optimal and learning-based control.

Filippos Fotiadis was born in Thessaloniki, Greece. He received the Diploma (joint B.Sc. and M.Sc. degree) in Electrical and Computer Engineering from the Aristotle University of Thessaloniki, Greece, in 2018. He is currently pursuing the Ph.D. degree in Aerospace Engineering at the Georgia Institute of Technology, where he also obtained the M.Sc. degree in Aerospace Engineering in 2022, and the M.Sc. degree in Mathematics in 2023. His research interests include optimal and learning-based control, game theory, and their applications to cyber–physical security, as well as prescribed performance control.

Kyriakos G. Vamvoudakis is the Dutton-Ducoffe Endowed Professor at The Daniel Guggenheim School of Aerospace Engineering at Georgia Tech. He holds a secondary appointment in the School of Electrical and Computer Engineering. His expertise is in reinforcement learning, control theory, game theory, cyber-physical security, bounded rationality, and safe/assured autonomy.He has served on various international program committees and has organized several international conferences. He currently is a member of the Technical Committee on Intelligent Control of the IEEE Control Systems Society, a member of the Technical Committee on Adaptive Dynamic Programming and Reinforcement Learning of the IEEE Computational Intelligence Society, a member of the IEEE Control Systems Society Conference Editorial Board, an Associate Editor of: Automatica; IEEE Transactions on Automatic Control; IEEE Transactions on Neural Networks and Learning Systems; IEEE Computational Intelligence Magazine; IEEE Transactions on Systems, Man, and Cybernetics: Systems; IEEE Transactions on Artificial Intelligence; Neurocomputing; Journal of Optimization Theory and Applications; and of Frontiers in Control Engineering-Adaptive, Robust and Fault Tolerant Control. He had also served as a Guest Editor for, IEEE Transactions on Automation Science and Engineering (Special issue on Learning from Imperfect Data for Industrial Automation); IEEE Transactions on Neural Networks and Learning Systems (Special issue on Reinforcement Learning Based Control: Data-Efficient and Resilient Methods); IEEE Transactions on Industrial Informatics (Special issue on Industrial Artificial Intelligence for Smart Manufacturing); and IEEE Transactions on Intelligent Transportation Systems (Special issue on Unmanned Aircraft System Traffic Management). He is also a registered Electrical/Computer engineer (PE), a member of the Technical Chamber of Greece, an Associate Fellow of AIAA, and a Senior Member of IEEE.