Bart De Schutter

Bart De Schutter is a Full Professor and Head of the Delft Center for Systems and Control (DCSC) at Delft University of Technology, The Netherlands. He leads a research group focused on advanced control methodologies with applications in transportation, energy, and environmental systems.

His research interests span model predictive control (MPC), hybrid and piecewise-affine systems, multi-agent and distributed control, reinforcement learning, and discrete event systems with applications in intelligent transportation, smart grids, and underwater robotics. His work integrates model-based and data-driven approaches to enable robust, scalable, and intelligent control of large-scale networks.

His recent publications reflect a strong trend toward integrating learning with formal control methods, ensuring safety and performance in complex hybrid systems. Research themes include learning-based MPC, scenario reduction for stochastic control, stability analysis of max-plus systems, and applications in railway scheduling and marine monitoring.

Notable scientific awards include:

• ERC Advanced Grant (CLariNet, 2021–2026)
• Richard C. DiPrima Prize for PhD thesis
• Robert Stock Prize for PhD theses in Exact Sciences
• VIDI grant from STW
• IEEE Fellow
• IFAC Fellow

Bart De Schutter has coordinated major EU projects such as HD-MPC, SeaClear, and SeaClear2.0, demonstrating leadership in both theoretical innovation and real-world applications. He serves as a senior editor for IEEE Transactions on Intelligent Transportation Systems and associate editor for IEEE Transactions on Automatic Control.

He leads a research team working on next-generation control solutions for autonomous systems and infrastructure, with ongoing projects in intelligent traffic control, smart energy systems, and underwater robotics. The group actively recruits PhD and postdoctoral researchers, indicating a vibrant and expanding lab environment.