Rudy R. 
Negenborn       Rudy Negenborn
Full Professor
Director of Studies MSc TIL
     
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Full Professor
Multi-Machine Operations & Logistics

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


Prof.dr. Rudy Negenborn (TU Delft) is full professor in Multi-Machine Operations & Logistics. He is head of the Section Transport Engineering & Logistics of Department Maritime & Transport Technology, and Director of Studies of the interfaculty MSc programme Transport, Infrastructure & Logistics.

Negenborn's research interests include automatic control and coordination of transport technology (including autonomous vessels) in general, whereby he proposes multi-agent system and model predictive control approaches that benefit from real-time information availability and the potential of communication. As such, his research anticipates the massive introduction of sensing, computation, and communication technologies. Within the 4S Framework this is materialized into innovative solutions for smart equipment, transport hubs, ports and (synchromodal) networks.

He has over 150 peer reviewed academic publications. He leads NWO, EU and industry funded research, and is on the editorial board of the series on "Intelligent Systems, Control and Automation: Science and Engingeering". He was moreover 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 special journal issues on autonomous vessels and computational logistics. In addition, he is editor of the books "Intelligent Infrastructures", "Distributed Model Predictive Control Made Easy", and "Transport of Water versus Transport over Water".


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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