• Source: Scopus
  • Calculated based on number of publications stored in Pure and citations from Scopus
1992 …2022

Research activity per year

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Personal profile

Personal profile

Martijn's research involves freight transportation, synchromodal transport, multi-agent systems (MAS), pricing and auctions in freight transport, dynamic vehicle routing problems (VRP & DVRP), ranking and selection problems (R&S), optimal learning, approximate dynamic programming (ADP), simulation optimization, discrete-event simulation, and simulation of logistics and healthcare systems. Martijn participated in various research and implementation projects (national as well as European) on the topics of sustainable logistics, urban logistics, city distribution, healthcare logistics, port logistics, and intermodal and synchromodal transport.

External positions

Postdoc, Princeton University

1 Feb 20091 Aug 2009

Researcher, University of Twente

1 Dec 200228 Feb 2003


  • HE Transportation and Communications
  • Logistics
  • Freight Transportation
  • Transportation
  • Logistics Management
  • Drones
  • UAV
  • Electric Vehicles
  • Autonomous Vehicles
  • Green Logistics
  • Urban Logistics
  • Vehicle Routing
  • QA76 Computer software
  • Artificial Intelligence
  • AI
  • Deep learning
  • Reinforcement Learning
  • Neural Networks
  • Machine Learning
  • Multi Agent Systems
  • Digital Platforms
  • Simulation
  • Agent-based models
  • Simulation Optimization
  • Operations Research
  • Dynamic Programming
  • Stochastic Optimization
  • Optimal Learning
  • Markov Decision Theory
  • TA Engineering (General). Civil engineering (General)
  • Transport Engineering
  • Transportation
  • Traffic
  • Simulation

Artificial Intelligence Expert

  • Autonomous Agent Systems
  • Data Mining, Process Mining and Search
  • Machine Learning: from Traditional Methods to Deep Neural Networks
  • Mobility and Transport
  • Smart & Service Industry
  • Societal Context of AI


Dive into the research topics where Martijn R.K. Mes is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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