Andreas Malikopoulos

Andreas Malikopoulos is a professor in the School of Civil and Environmental Engineering at Cornell University. His research interests are grounded at the intersection of learning and control to enable systems—whether vehicles, robots, or large-scale infrastructures—to operate autonomously and achieve near-optimal performance while safely adapting to and interacting with dynamic environments. His work integrates decision-theoretic foundations with learning-based methods to endow engineered systems with the capability to reason, learn, and act in real time. His principal domain of application has been emerging mobility systems, including connected and automated vehicles, shared autonomous mobility, and smart-city infrastructures.

Andreas A. Malikopoulos is a professor at Cornell University, specializing in team theory, decentralized control, learning-based control, and cyber-physical systems. His research focuses on the coordination and optimal control of connected and automated vehicles in various traffic scenarios, including intersections, merging roads, and roundabouts. He has published extensively on energy management, traffic flow optimization, and cooperative vehicle systems. His work also extends to modeling frameworks for residential buildings and simulation-based policy transfer for traffic control. Malikopoulos's research emphasizes the integration of control theory with real-time learning and decentralized decision-making in complex environments.