Peter Verleijsdonk

Peter Verleijsdonk is a Postdoctoral Research Fellow at the Mathematics and Computer Science school of Eindhoven University of Technology, specializing in Stochastic Operations Research. His work bridges theoretical and applied domains, focusing on real-time data-driven decision-making systems.

Research Interests

His research integrates Deep Reinforcement Learning and Stochastic Modeling to solve Real-Time Maintenance Scheduling challenges in asset networks. Key areas include Data-Driven Decision Making, Public-Private Collaborations, and Stochastic Optimization.

Projects

• Active member of the Information Processing Technology for Personalization of Hearing Instruments project (2014–2026).

Education

• PhD in Stochastic Operations Research (2025), Eindhoven University of Technology.
• MSc in Operations Research (2020), Eindhoven University of Technology.
• BSc in Mathematics (2017), Eindhoven University of Technology.