Han Hoogeveen

Dr. Han Hoogeveen serves as an Associate Professor in the Department of Information and Computing Sciences within the Faculty of Science at Utrecht University. His research focuses on applied operations research, particularly in transportation systems and robust optimization. Hoogeveen obtained his PhD from Eindhoven University of Technology for research on Single Machine Bicriteria Scheduling problems, conducted at the Centrum voor Wiskunde en Informatica (CWI) in Amsterdam under Jan Karel Lenstra.

His research interests center on developing robust solutions for real-world planning problems, especially in transportation systems. He has pioneered research on finding solutions that remain feasible during small disruptions, with applications in railway operations, airport management, and public transportation. His work combines theoretical algorithm development with practical implementation through collaborations with major Dutch companies including NS (Dutch Railways), KLM, Amsterdam Airport Schiphol, and Qbuzz.

Hoogeveen co-founded an Operations Research group with Marjan van den Akker, which evolved into the AI and Mobility Lab. His research has produced significant practical applications including gate assignment systems for Schiphol Airport, bus scheduling for Qbuzz, and shunting plans for NS. In 2021, he was conducting research for improving planning of city hubs and KLM operations through the kickstart AI initiative.

Dr. Hoogeveen has supervised multiple PhD students including Guido Diepen (gate assignment), Marcel van Kooten Niekerk and Jan Posthoorn (bus scheduling), and Roel van den Broek (shunting plans for NS). His work exemplifies his philosophy that successful research must address real-world problems where 'we are not interested in the color of the hood, but in what is running beneath it'.