Large deviations for Markov processes with resetting
Janusz M. Meylahn, Sanjib Sabhapandit, and Hugo Touchette. (2015). "Large deviations for Markov processes with resetting." Phys. Rev. E. 92, 062148.
CV
Education
- B.Sc. in Theoretical Physics, Stellenbosch University, 2012
- Hons. Sc. in Theoretical Physics, Stellenbosch University, 2013
- M.Sc. in Theoretical Physics, Stellenbosch University, 2015
- Ph.D in Mathematics, Leiden University, 2019
Academic Positions
- April 2019 - November 2020: Postdoctoral Researcher
- University of Amsterdam
- Amsterdam Business School
- Supervisor: Dr. Arnoud den Boer
- December 2020 - June 2022: Postdoctoral Researcher
- University of Amsterdam
- Dutch Institute of Emergent Phenomena
- July 2022 - present: Assistant Professor
- University of Twente
- Department of Applied Mathematics
Research Interests
- Collusion of pricing algorithms
- Multiagent Reinforcement Learning
- Synchronization on complex networks using the Kuramoto model
- Stochastic resetting
Publications
Synchronization of phase oscillators on the hierarchical lattice
Garlaschelli, D., den Hollander, F., Meylahn, J. M., & Zeegers, B. (2019). "Synchronization of phase oscillators on the hierarchical lattice." Journal of Statistical Physics . 174(1), 188-218.
Properties of additive functionals of Brownian motion with resetting
Den Hollander, F., Majumdar, S. N., Meylahn, J. M., & Touchette, H. (2019). "Properties of additive functionals of Brownian motion with resetting." Journal of Physics A: Mathematical and Theoretical. 52(17), 175001.
Two-Community Noisy Kuramoto Model Suggests Mechanism for Splitting in the Suprachiasmatic Nucleus
Rohling, J. H., & 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.
Two-community noisy Kuramoto model
Meylahn, J. M. (2020). "Two-community noisy Kuramoto model." Nonlinearity. 33(4), 1847.
Two-community noisy Kuramoto model with general interaction strengths. I
Achterhof, S., & Meylahn, J. M. (2021). "Two-community noisy Kuramoto model with general interaction strengths. I" Chaos: An Interdisciplinary Journal of Nonlinear Science . 31(3), 033115.
Two-community noisy Kuramoto model with general interaction strengths. II
Achterhof, S., & Meylahn, J. M. (2021). "Two-community noisy Kuramoto model with general interaction strengths. II" Chaos: An Interdisciplinary Journal of Nonlinear Science . 31(3), 033116.
Learning to Collude in a Pricing Duopoly
Meylahn, J. M., & den Boer, A. V. (2021). "Learning to Collude in a Pricing Duopoly" Manufacturing & Service Operations Management . 0(0).
Limiting dynamics for Q-learning with memory one in symmetric two-player, two-action games
Meylahn, J. M., & Janssen, L. (2022). "Limiting dynamics for Q-learning with memory one in symmetric two-player, two-action games" Complexity . 0(0).
Intrinsic fluctuations of reinforcement learning promote cooperation
Barfuss, W., & Meylahn, J. M. (2023). "Intrinsic fluctuations of reinforcement learning promote cooperation" Scientific Reports . 13(1309).
Talks
Hierarchical synchronization with the noisy Kuramoto model
Talk at Japan-Netherlands meeting on Probabilistic methods in statistical mechanics of random media, Leiden, The Netherlands
A variational approach to network games
Talk at Stochastic Networks and Learning, Eindhoven, The Netherlands
Learning to collude in a pricing duopoly
Talk at 31 st European Conference on Operational Research, Greece, (Hybrid)
Teaching
Service and leadership
- Regular reviewer for the Journal of Physics A and Journal of Physics: Complexity
- Organizer of the Leiden Complex Networks Network (LCN2) from 2017-2019
- Organizer of the Dutch Institute of Emergent Phenomena bi-monthly Seminar
- Organizer of the Dutch Institute of Emergent Phenomena bi-monthly Journal Club