معرفی
Wouter J.A. van Heeswijk is an Assistant Professor in the Department of Industrial Engineering & Business Information Systems at the University of Twente, Faculty of Engineering Technology. His research lies at the intersection of operations research, logistics, and artificial intelligence, with a strong focus on decision-making under uncertainty.
- University: University of Twente
- School: Faculty of Engineering Technology
- Department: Industrial Engineering & Business Information Systems
- Academic Rank: Assistant Professor
His research interests include logistics, simulation, dynamic programming, reinforcement learning, urban mobility, and human-centered automation. He applies advanced computational methods to real-world challenges in transportation, disaster response, and business process optimization. His work often integrates machine learning with optimization techniques to build adaptive, data-driven decision support systems.
The most recent articles reflect a strong trend toward applying reinforcement learning and simulation-based optimization in complex logistics and urban systems. Topics include traffic equilibrium prediction, post-disaster inventory allocation with UAVs, and self-organizing transportation networks. His publications span high-impact journals and conferences in operations research and computer science.
Scientific Awards and Recognitions:
- No specific awards mentioned in the provided text.
Advising and Grants: Dr. van Heeswijk supervises graduate students, including PhD candidates such as R. Bosch. While specific grants are not listed, his active publication record across multiple years and diverse topics suggests ongoing research funding. He collaborates extensively with colleagues like M.R.K. Mes and others in the logistics and operations research domain.
Labs and Research Teams: He is part of a research group focused on logistics, simulation, and decision support systems within the Industrial Engineering department. His work contributes to the broader fingerprint of ‘Logistics’, ‘Simulation’, and ‘Reinforcement Learning’ at the university.
