Peyman is a PhD student in Industrial Engineering at École Polytechnique de Montréal and is a researcher at CIRRELT. He is graduated in Industrial Engineering in his M.Sc. and B.Sc. at Sharif University of Technology, Iran. His research interests lies in the span of Optimization (Integer Programming in Large scale optimization problems) in Healthcare and medical decision-making and applying machine learning techniques in these fields. He works under the supervision of Louis-Martin Rousseau.
2023
Peyman K, Cappart Q, Chapados N, Pouya H, Rousseau L-M, (2023), Dynamic Routing and Wavelength Assignment with Deep Reinforcement Learning. INFORMS Journal on Optimization, 6(1): 1-18.
2021
Kafaei P, Cappart Q, Renaud M-A, Chapados N, Rousseau L-M, (2021), Graph neural networks and deep reinforcement learning for simultaneous beam orientation and trajectory optimization of Cyberknife, Physics in Medicine and Biology, 66(21). https://doi.org/10.1088/1361-6560/ac2bb5
Kafaei P, Cappart Q, Renaud M-A, Chapados N, Rousseau L-M, (2021), Deep Q-learning for simultaneous Beam Orientation and trajectory optimization for Cyberknife. Physics and Medecine in Biology, 66(21).