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J. M. Meylahn PhD (Janusz)

Assistant Professor

Expertise

Engineering & Materials Science
Algebra
Data Storage Equipment
Dynamic Response
Learning Algorithms

Publications

Recent
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. Advance online publication. https://doi.org/10.1177/07487304231175191, 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. Advance online publication. https://doi.org/10.1287/msom.2021.1074
Meylahn, J. M. (2020). Two-community noisy Kuramoto model. Nonlinearity, 33(4), 1847-1880. Advance online publication. https://doi.org/10.1088/1361-6544/ab6814
Rohling, J. H. T. , & Meylahn, J. M. (2020). Two-Community Noisy Kuramoto Model Suggests Mechanism for Splitting in the Suprachiasmatic Nucleus. Journal of Biological Rhythms, 35(2), 158-166. Advance online publication. https://doi.org/10.1177/0748730419898314

UT Research Information System

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (building no. 11), room 4029
Hallenweg 19
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  4029
P.O. Box 217
7500 AE Enschede
The Netherlands