Research InterestsMachine and Reinforcement Learning, Robust and Distributed Optimal Control, Robotics, Convex Optimization, Cyber-Physical Systems Research OverviewMachine learning techniques - bolstered by successes in video games, sophisticated robotic simulations, and Go – are now being applied to plan and control the behavior of autonomous systems interacting with physical environments. Such systems, which include self-driving vehicles, distributed sensor networks, and agile robots, must interact with complex environments that are ever changing and difficult to model, strongly motivating the use of data-driven decision making and control. However, if machine learning techniques are to be applied in these new settings, it is critical that they be accompanied by guarantees of reliability, robustness, and safety, as failures could be catastrophic. To address these challenges, my research is focused on developing learning-based control strategies for the design of safe and robust autonomous networked systems. Please see my publications page for current research projects. |