Rudy R. 
Negenborn       Rudy Negenborn
Associate Professor
Team & Themes

Associate Professor
Automatic Control for Networked Transport Technology and Logistics

Section of Transport Engineering & Logistics,
Department of Maritime & Transport Technology,
Delft University of Technology.

Dr. Rudy Negenborn is associate professor in automatic control & coordination of transport technology at the Section Transport Engineering & Logistics of Department Maritime & Transport Technology, Delft University of Technology. He obtained the MSc degree in computer science / intelligent systems in 1998 at Utrecht University, and received the PhD degree in distributed control for networked systems from Delft University of Technology, the Netherlands, in 2007.

Dr. Negenborn's research interests include multi-agent systems, distributed control, model predictive control, simulation of large-scale transport systems, and applications in (waterborne) networked transport systems. Current research lines he is leading are developing control theoretical approaches for efficient and sustainable operation of future container terminals, inter terminal transport systems in port areas, and intermodal / synchromodal transport networks at national and European scale.

He has over 100 peer reviewed academic publications. He is on the editorial board of the series on "Intelligent Systems, Control and Automation: Science and Engingeering", and is on the international programming council of the International Journal on Marine Navigation and Safety of Sea Transportation. Dr. Negenborn was general chair of the 6th International Conference on Computational Logistics, has acted as member of the organizing committee of several other international conferences (including IEEE control conferences and maritime systems & logistics conferences) and was guest editor of a special journal issue on control of water systems. In addition, he is editor of the books "Intelligent Infrastructures", "Distributed Model Predictive Control Made Easy", and "Transport of Water versus Transport over Water", and guest editor of the Transportation Research Part E special issue on "Coordination for Real-Time Transport Logistics".

Fundamental research interests
Multi-agent systems, distributed control, and model predictive control.

Applied research interests
Flow control in transportation networks and intelligent infrastructures.

Current research focus
Real-time/operational control for improving the coordination inside and among transport hubs.

Additional research interests
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Educational interests
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