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 received 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.
Many dynamical systems nowadays fall into the so-called cyber-physical systems (CPS) category, with something as small as our phones being qualified but also something as large as a power grid. This ubiquity of CPS generates an urgent need for control and decision-making approaches that are resilient against uncertainties and adversarial entities, the presence of which is inevitable in interconnected systems. My research draws tools from data-driven and game-theoretic control to address this need. Of particular interest to me are learning-based approaches that can select the most efficient and secure sensors and actuators for CPS with incomplete knowledge of their dynamics. I am also interested in game-theoretic control methods that can help compensate for adversarial influence within CPS.