Published several academic papers, such as 'Optimizing Autonomous Multimodal Last-mile Delivery Systems with Time Windows' and 'The Selective Multiple Depot Pickup and Delivery Problem with Multiple Time Windows and Paired Demand'.
Research Experience
After completing his Ph.D., he did a postdoc at Princeton University, Department of Operations Research and Financial Engineering, where he researched Ranking and Selection (R&S), Bayesian Global Optimization (BGO), and Optimal Learning. Participated in various research and implementation projects on sustainable logistics, urban logistics, city distribution, port logistics, and intermodal/synchromodal transport.
Education
Master's degree in Applied Mathematics (2002), Ph.D. from the School of Management and Governance, University of Twente (2008). Advisor information not provided.
Background
Professor of Transportation and Logistics Management (TLM) with research interests in AI for logistics management, drones and electric vehicles, green logistics, multi-agent systems, pricing and auctions in freight transport, dynamic vehicle routing problems, discrete-event simulation, simulation optimization, stochastic optimization, optimal learning, and deep reinforcement learning.
Miscellany
Provides various BSc and MSc courses within the Industrial Engineering and Management program, covering topics like simulation, queuing theory, Markov chains, dynamic programming, approximate dynamic programming, reinforcement learning, transportation management, and management of technology.