Rudesindo Núñez Queija is a Professor at the Korteweg-De Vries Institute, Faculty of Science, University of Amsterdam (UvA), and a Scientific Staff Member in the Stochastics Department at Centrum Wiskunde & Informatica (CWI), Amsterdam. His work bridges theoretical stochastic modeling and practical applications in transportation and network systems. University: University of Amsterdam Research Institute: Centrum Wiskunde & Informatica (CWI) Department: Stochastics Role: Professor and Scientific Staff Member His research focuses on queueing theory, stochastic models, and dynamic systems, particularly in the context of transportation networks and service systems. He investigates problems such as dynamic routing under uncertainty, traffic congestion modeling, optimal dispatching in queues, and performance analysis of polling and processor-sharing systems. His methodological toolkit includes Markov decision processes, fluid approximations, heavy-traffic analysis, and perturbation techniques. The 15 most recent publications highlight a strong trend in applying stochastic modeling to real-world transportation challenges—such as intelligent routing, bottleneck dynamics under uncertainty, and urban traffic control—while also advancing fundamental queueing theory. His work frequently appears in high-impact journals like Transportation Research Part B , Queueing Systems , and Operations Research Letters . Notable scientific recognition includes: Applied Probability Trust Award for his PhD thesis on Processor-Sharing Models (2000) He has co-supervised several PhD students, including Daphne van Leeuwen, Peter Kovacs, and Nikki Levering, and has been actively involved in major research grants, such as the NWO Networks program and the NWO Sustainable Logistics project 'Dynafloat'. He teaches courses such as 'Statistics for Forensic Science', demonstrating a broad educational impact. His research is supported by funding from the Netherlands Organisation for Scientific Research (NWO), and he collaborates extensively within the Dutch academic and research community. He is affiliated with research groups at both CWI and UvA, particularly within the Stochastics and Networks domains, contributing to large-scale interdisciplinary projects focused on modeling and optimizing complex systems.






