Biography
Martin Cousineau is an assistant professor in the Department of Logistics and Operations Management at HEC Montréal and a professor of the Institute for Data Valorization (IVADO). He is a co-head researcher of the Sustainable Health research theme of the International Observatory on the Societal Impacts of AI and Digital Technology (OBVIA) and a member of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT). He is specialized in methods at the intersection of operations research and artificial intelligence, with applications to logistics, transportation and healthcare.
- Decision Support System
- Operations Research
- Artificial Intelligence
- Logistics, Transportation and Healthcare Applications
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Ph.D. in Management, 2020
McGill University
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M.Sc. in Administration, 2013
HEC Montréal
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B.Ing. in Mechanical Engineering, 2010
École Polytechnique de Montréal
Projects
Integration of machine learning and operations research
As highlighted in Bengio et al. (2021), machine learning appears as a promising avenue to solve combinatorial optimization problems, directly or along operations research methods. My projects along this theme include:
- the use of reinforcement learning for the end-to-end control of a fleet of electric vehicles;
- the use of reinforcement learning for inventory control; and
- the Atari-fication of combinatorial optimization problems such as the vehicle routing problem.
Another somewhat related project is the use of constrained optimization for causal inference.
Logistics, transportation and healthcare applications
I also have several projects on demand forecasting, inventory management, supplier selection and scheduling. Some of which are more theoretical while others are more applied. Several of these logistics projects are related to the COVID-19 pandemic and thus are related to healthcare. Finally, I also have some pure healthcare projects, e.g., medical decision making for the management of treatment-resistant depression.
Recent Publications
Supervision
Current students/researchers/postdocs
- Nadia Ghernaout, Ph.D. candidate (University of Angers), May 2022 – present, co-supervised with C. Guéret and D. Bigaud
- Seyedhamid Seyedifazlollahi, Ph.D. candidate (École Polytechnique de Montréal), Nov. 2021 – present, co-supervised with J. Carreau and M. Gendreau
- Qihua Zhong, Ph.D. candidate (HEC Montréal), Aug. 2019 – present, co-supervised with Y. Adulyasak and R. Jans
- Arzhang Khoshghalb, M.Sc. candidate (HEC Montréal, Thesis), May 2023 – present, co-supervised with V. Bélanger
- Ange Ernestine Iradukunda, visiting master’s student (Carnegie Mellon University Africa), Sept. 2023 – present
- Alexandre Pawlotsky, M.Sc. candidate (HEC Montréal, Project), Jan. 2024 – present
- Xiaoxuan Jiang, M.Sc. candidate (HEC Montréal, Project), Jan. 2024 – present
- Sasa Matovic, M.Sc. candidate (HEC Montréal, Project), Aug. 2023 – present, co-supervised with C. Rebolledo
- Rayan Saad, M.Sc. candidate (HEC Montréal, Project), May. 2023 – present, co-supervised with V. Bélanger
Former students/researchers/postdocs
- Shadé Andjorin, M.Sc. candidate (HEC Montréal, Thesis), Aug. 2020 – Jan. 2023, co-supervised with V. Bélanger
- Kaveh Dehkhoda, M.Sc. candidate (HEC Montréal, Thesis), Jul. 2020 – Jan. 2023, co-supervised with V. Bélanger
- Jitong Feng, M.Sc. candidate (HEC Montréal, Project), May 2023 – Oct. 2023
- Elodie Benoit-Cattin, M.Sc. candidate (HEC Montréal, Project), Jan. 2023 – Sept. 2023
- Ruiqi Zhang, M.Sc. candidate (HEC Montréal, Project), Aug. 2022 – May 2023, co-supervised with R. Jans
- Abhishek Abhishek, M.Sc. candidate (HEC Montréal, Project), Aug. 2022 – Apr. 2023, co-supervised with C. Rebolledo
- Yi Li, M.Sc. candidate (HEC Montréal, Project), May 2022 – Dec. 2022
- Jingjing Lu, M.Sc. candidate (HEC Montréal, Project), May 2022 – Dec. 2022, co-supervised with R. Charpin
- Ashish Dave, M.Sc. candidate (HEC Montréal, Project), May 2022 – Nov. 2022
- Hajar Zegrati, visiting master’s student (University of Brescia), Jul. 2022 – Oct. 2022, co-supervised with M. Gendreau
- Catherine Jodoin, M.Sc. candidate (HEC Montréal, Project), May 2022 – Aug. 2022, co-supervised with V. Bélanger
- Fanny Laliberté, M.Sc. candidate (HEC Montréal, Project), Jan. 2022 – Aug. 2022
- Paul Mulot, M.Sc. candidate (HEC Montréal, Project), Jun. 2021 – Dec. 2021, co-supervised with M.-C. Arellano-Caro
- Aayush Dhanuka, M.Sc. candidate (HEC Montréal, Project), May 2021 – Dec. 2021, co-supervised with V. Bélanger
- Florent Delforge, M.Sc. candidate (HEC Montréal, Project), May 2021 – Dec. 2021
- Andrea Leitch, M.Sc. candidate (HEC Montréal, Project), Jan. 2021 – Dec. 2021
- Yifan Bai, research intern, Apr. 2021 – Nov. 2021, co-supervised with J.E. Mendoza
- Mengwei Sun, M.Sc. candidate (HEC Montréal, Project), Jan. 2021 – Aug. 2021
- Shubham Bhardwaj, M.Sc. candidate (HEC Montréal, Project), Jan. 2021 – Aug. 2021, co-supervised with J. Mendoza
- Ying Wang, M.Sc. candidate (HEC Montréal, Project), Jan. 2021 – Aug. 2021, co-supervised with V. Bélanger
- Maaz Ahmad, M.Sc. candidate (HEC Montréal, Project), Jan. 2021 – May 2021
- Arthur Kennel, M.Sc. candidate (HEC Montréal, Project), Oct. 2020 – Aug. 2021
- Li Li, M.Sc. candidate (HEC Montréal, Project), Aug. 2020 – Aug. 2021, co-supervised with R. Charpin
- Godefroy Lavirotte, M.Sc. candidate (HEC Montréal, Project), May 2020 – Apr. 2021, co-supervised with V. Bélanger
- Diana Di-Paolo, M.Sc. candidate (HEC Montréal, Project), May 2020 – Dec. 2020, co-supervised with R. Charpin
- Cody MacKay, M.Sc. candidate (HEC Montréal, Project), Aug. 2019 – Jun. 2020
- Nikita Dudorov, undergraduate project (Polytechnique Paris), Apr. 2023 – Sept. 2023, co-supervised with J.E. Mendoza
- Zakaria Rayadh, undergraduate project (HEC Montréal), May 2019 – Nov. 2019, co-supervised with J.-F. Cordeau
- Clément Grodecoeur, undergraduate project (Polytech Tours), May 2019 – Sept. 2019, co-supervised with J.E. Mendoza
Teaching
I teach the following courses at HEC Montréal.
Contact
- martin.cousineau@hec.ca
- 3000 Côte-Sainte-Catherine Road, Montréal, QC H3T 2A7
- Google Scholar
- GitHub