Kyriakos G. VamvoudakisView profile
Professor
Kyriakos G. Vamvoudakis is the Dutton-Ducoffe Endowed Professor at the Daniel Guggenheim School of Aerospace Engineering and directs the Intelligent Cyber-Physical Laboratory. He holds a secondary appointment in the School of Electrical and Computer Engineering. His research integrates reinforcement learning , control theory , and game theory to develop secure and fault-tolerant autonomous systems, with applications in aviation, robotics, and critical infrastructure. His research focuses on: Safe autonomy for urban air mobility and cyber-physical systems Adversarial reinforcement learning to mitigate security threats Data-driven control for resilient multi-agent systems Bounded rationality in complex adaptive environments Recent publications emphasize adversarial robustness , safe RL , and cyber-physical security , with trends showing increased focus on real-time learning under uncertainty, deception in multi-agent games, and quantum control applications. He leads federally funded projects from NASA , NSF , ARO , and ONR , including: NASA ULI: Safety-Aware Learning for Aviation NSF CPS: Secure Assured Autonomy ARO: Non-Equilibrium Game-Theoretic Learning ONR Minerva: Cyber-Physical Situation Awareness At the Intelligent Cyber-Physical Laboratory , he oversees research on multi-agent coordination, secure autonomy, and reinforcement learning frameworks validated through real-world UAV and robotics platforms.
