Mathijs M. de Weerdt

Mathijs M. de Weerdt is a Full Professor of Algorithms for Planning and Scheduling and head of the Algorithmics Group at TU Delft's Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). His research focuses on robust, scalable, and multi-agent planning techniques for energy systems, transportation, and logistics. He holds a PhD from TU Delft (2003) and BSc/MSc from Utrecht University (1998).

Key research areas include stochastic scheduling, multi-agent pathfinding, energy transition algorithms, and railway optimization. He leads projects on smart grid scheduling, train unit shunting (TORS simulator), and AI-driven energy market design. Notable awards include the 2016 Erasmus Energy Science Award and 2015 Best Teacher Award at TU Delft.

Over 196 publications span conferences like AAAI, AAMAS, and journals in Operations Research. Supervised 15 PhD students, with 9 completed. Active in industry collaborations (NS Railways, Alliander), advisory roles (Dutch Rail Scientific Board), and initiatives like the Center for Energy System Intelligence (CESI).

Teaching roles include Algorithm Design, Probabilistic AI, and leading the TU Delft AI Initiative's education efforts. Developed open-source tools like B-FELSA (flexible load scheduling benchmark) and TORS (railway shunting simulator).