J. M. Meylahn PhD (Janusz)

Assistant Professor

About Me

I'm an assistant professor in the Stochastic Operations Research group of the Applied Mathematics Department, working on multiagent learning. I studied Theoretical Physics at Stellenbosch University in South Africa and completed my PhD in Mathematics at Leiden University in 2019. 


Engineering & Materials Science
Data Storage Equipment
Dynamic Response
Learning Algorithms


I currently work on (decentralized) multiagent reinforcement learning, with a focus on designing provably convergent algorithms with equilibrium selection control. My main area of application, is in the realm of algorithmic pricing. In this setting, I am interested in understanding if and how algorithms can learn to collude. 


van Beurden, A. W. , Meylahn, J. M., Achterhof, S., Buijink, R., Olde Engberink, A., Michel, S., Meijer, J. H., & Rohling, J. H. T. (2023). Reduced Plasticity in Coupling Strength in the Aging SCN Clock as Revealed by Kuramoto Modeling. Journal of Biological Rhythms, 38(5), 461-475. https://doi.org/10.1177/07487304231175191
den Boer, A. V. , Meylahn, J. M., & Schinkel, M. P. (2022). Artificial Collusion: Examining Supracompetitive Pricing by Q-Learning Algorithms. (pp. 1-49). (Amsterdam Law School Research Paper; No. 2022-25), (Amsterdam Center for Law & Economics Working Paper ; No. 2022-06). Social Science Research Network (SSRN). https://doi.org/10.2139/ssrn.4213600
Meylahn, J. , & den Boer, A. (2022). Learning to Collude in a Pricing Duopoly. Manufacturing & service operations management, 24(5), 2577–2594. https://doi.org/10.1287/msom.2021.1074

UT Research Information System


I am responsible for teaching a number of course, including

  1. Social Network Structure and Dynamics (Bachelor)
  2. Complex Networks (Honours)
  3. Stochastic Processes (Masters)

Additionally, I supervise internships, bachelor projects and master projects. 

Courses Academic Year  2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses Academic Year  2022/2023

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 4009
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4009
P.O. Box 217
7500 AE Enschede
The Netherlands