Kyriakos G. Vamvoudakis is the Dutton-Ducoffe Endowed Professor of the Daniel Guggenheim School of Aerospace Engineering and director of the Intelligent Cyber-Physical Laboratory. Vamvoudakis holds a secondary appointment in the School of Electrical and Computer Engineering. His research interests include reinforcement learning, control theory, cyber-physical security, bounded rationality, and safe/assured autonomy.
His work develops mechanisms for increased safety, security, and fault tolerance of urban air mobility systems with increased autonomy capabilities. His team investigates potential faults that can occur due to the existence of learning mechanisms in the system due to the structure of those mechanisms or the opportunities of attack they provide to malicious agents. “The problem of secure motion planning and navigation is a core topic in robotics and autonomous vehicles, as the majority of robotic applications require safe path planning and obstacle avoidance even in the presence of adversaries,” Vamvoudakis notes. “Ideally, a solution to this problem considers collision-free navigation in dynamic environments, computationally affordable algorithms for real-time implementation, and optimal control strategies.”
For more information about Vamvoudakis, see his website.