Tim Brüdigam

Dr.-Ing. Tim Brüdigam is a researcher affiliated with the Chair of Automatic Control Engineering at the Technical University of Munich. His work focuses on stochastic model predictive control (MPC) for systems with uncertainty, particularly in autonomous driving applications. He received the 2nd Prize IEEE ITSS Germany – Best PhD Dissertation Award for his research on safety and efficiency in MPC under uncertainty.

• 2024: Best PhD Dissertation Award (2nd prize), IEEE ITSS Germany

His research bridges control theory, transportation systems, and uncertainty quantification, with recent publications addressing constraint tightening, collision avoidance, and distributed control strategies. Articles demonstrate a focus on stochastic MPC algorithms for autonomous vehicles, integrating machine learning and multi-granularity models to enhance safety and computational efficiency.

Key scientific contributions include advancements in probabilistic constraint handling, event-based maneuver planning, and scenario-based uncertainty representation. His work has implications for urban automated driving, vehicle platooning, and high-speed autonomous racing.