Quentin Cappart
Scholar

Quentin Cappart

Google Scholar ID: QJQMYLsAAAAJ
Associate Professor at Polytechnique Montreal
Artificial intelligencecombinatorial optimizationconstraint programmingreinforcement learning
Citations & Impact
All-time
Citations
1,729
 
H-index
17
 
i10-index
23
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • 2024 ACP Early Career Researcher Award; 2025 Early Career Engineer Award (Ordre des ingénieurs du Québec); 2025 Early Career Professor Award (Polytechnique Montréal); 2025 Prix Méritas (Polytechnique Montréal); 2024 Best Paper Award (Machine Learning Track) (ACP); 2023 Winning Approach for Citylearn Challenge (NeurIPS competition); 2023 Distinguished Paper (ACP); 2024 Prix Méritas (Polytechnique Montréal); 2022 Best Paper Award (ACP); 2022 Discovery Grant (NSERC); 2022 Prix Méritas (Polytechnique Montréal); 2018 Postdoctoral Research Funding (IVADO); 2017 University Laureate of Three Minutes Thesis Contest (UCLouvain); 2015 Student Paper Contest Third Prize (IEEE Region 8); 2014 Best Master Thesis in IEEE Field (UCLouvain IEEE student branch).
Research Experience
  • Before becoming an associate professor at Polytechnique Montréal, he was an IVADO post-doctoral fellow and a research intern at ElementAI (later acquired by ServiceNow). He also leads the CORAIL research group, which he co-founded with Louis-Martin Rousseau.
Education
  • Ph.D. from UCLouvain in 2017, supervised by Pierre Schaus.
Background
  • Associate professor at Polytechnique Montréal, with research interests in artificial intelligence, particularly in the areas of constraint programming, machine learning, and combinatorial optimization. The goal is to develop decision-making tools able to leverage different aspects of artificial intelligence to perform better decisions.