Alexandre M. Bayen

Alexandre M. Bayen is the Liao-Cho Innovation Endowed Chair and Professor in the Department of Civil and Environmental Engineering at the University of California, Berkeley. His research interests include control and optimization, with a focus on modeling and control of distributed parameters systems, large-scale infrastructure systems, and automation of transportation (ground and air). Bayen's work involves the control of systems modeled by partial differential equations, combinatorial optimization, viability theory, and optimal control. He is also a member of the Institute of Electrical and Electronic Engineers (IEEE) and the Institute of Aeronautics and Astronautics (AIAA).

Alexandre Bayen is a Professor in Electrical Engineering and Computer Science at UC Berkeley, specializing in control, optimization, mobile sensing, crowdsourcing, and traffic systems. His research focuses on developing advanced methodologies for traffic state estimation, modeling, and control using GPS-enabled mobile devices and machine learning techniques. He explores the integration of Lagrangian measurements, dynamic Bayesian networks, and reinforcement learning to improve traffic forecasting and management. His work also addresses cybersecurity in critical infrastructure, such as water SCADA systems, and investigates the viability of cooperative multi-agent systems for complex environments. Bayen's contributions span both theoretical and applied aspects of control theory, optimization, and data-driven traffic analysis.