Antoine Legrain
B. Eng, M.Sc.A., Ph.D
Associate Professor
Department of Mathematical and Industrial Engineering
Department of Mathematical and Industrial Engineering
Research interests and affiliations
Affiliation(s)
Expertise type(s) (NSERC subjects)
- 1601 Operations research and management science
- 1603 Logistics
- 2713 Algorithms
- 2715 Optimization
- 2960 Mathematical modelling
Publications
Recent publications
Conference paper
Dataset
Journal article
Journal article
Bourgeat, M., Legrain, A., & Cappart, Q. (2026, May). Imitation-Guided World Models for Multi-agent Train Rescheduling [Paper]. 23rd International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2026), Rabat, Morocco. Published in Lecture notes in computer science, 16595.
Amiri, E., Legrain, A., & El Hallaoui, I. (2026). Manhattan dial-a-ride benchmark dataset with NYC TLC taxi trips, 2015–2016 [Dataset]. 
Kolcheva, L., Legrain, A., & Trépanier, M. (2026). Network-wide transfer synchronization strategies in a public bus system with real-time AVL and smart card data. Public Transport.
Gawas, P., Legrain, A., & Rousseau, L.-M. (2026). Notification timing for on-demand personnel scheduling. Computers & Operations Research, 107611.
See all publications (64)
Biography
Antoine Legrain is a professor at Polytechnique Montreal in the Department of Mathematics and Industrial Engineering since 2019. His research focuses on real-time operations management (online and stochastic optimization applied to dynamic problems) to improve access to healthcare systems and manage on-demand and multimodal transportation services.
Teaching
- MTH1102 - Calculous II
- MTH6602 - Real-time optimization
Education
- Ph.D. in mathematics, Polytechnique Montreal
- Master of Research in applied mathematics, Polytechnique Montreal
- Diplôme d'ingénieur, École Centrale Paris
Supervision at Polytechnique
COMPLETED
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Ph.D. Thesis (2)
- Gawas, P. (2025). Notification Timing for On-Demand Personnel Scheduling - Complexity and an Imitation Learning Approach [Ph.D. thesis, Polytechnique Montréal].
- Kolcheva, L. (2025). Synchronisation en temps réel des correspondances de réseaux de transports publics [Ph.D. thesis, Polytechnique Montréal].
- Gawas, P. (2025). Notification Timing for On-Demand Personnel Scheduling - Complexity and an Imitation Learning Approach [Ph.D. thesis, Polytechnique Montréal].
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Master's Thesis (2)
- Mehiri, E. (2025). Problème d'optimisation d'un système de transport à la demande sur plusieurs gares [Master's thesis, Polytechnique Montréal].
- Haghjoo, N. (2023). Optimal Operator Assignment in a Real-life Environment [Master's thesis, Polytechnique Montréal].
- Mehiri, E. (2025). Problème d'optimisation d'un système de transport à la demande sur plusieurs gares [Master's thesis, Polytechnique Montréal].
