Back to news

Several GERAD teams funded by IVADO

Congratulations to the teams selected to lead new fundamental research projects!

  • Charles Audet, Sébastien Le Digabel, Michael Kokkolaras, Miguel Diago Martinez
    Combining machine learning and blackbox optimization for engineering design

  • Michel Denault, Dominique Orban, Pierre-OIivier Pineau
    Paths to a cleaner Northeast energy system through approximate dynamic programming

  • Mehmet Gumus, Erick Delage, Arcan Nalca, Angelos Georghiou
    Data-driven Demand Learning and Sharing Strategies for Two-Sided Online Marketplaces

  • Jonathan Jalbert, Françoise Bichai, Sarah Dorner, Christian Genest
    Modélisation des surverses occasionnées par les précipitations et développement d’outils adaptés aux besoins de la Ville de Montréal

  • Nadia Lahrichi, Sébastien Le Digabel, Andrea Matta, Nicolas Zufferey, Andrea Lodi, Chunlong Yu
    Reactive/learning/self-adaptive metaheuristics for healthcare resource scheduling

  • Liam Paull, Derek Nowrouzezahrai, James Forbes
    Differentiable perception, graphics, and optimization for weakly supervised 3D perception

  • Jean-François Plante, Patrick Brown, Thierry Duchesne, Nancy Reid, Luc Villandré
    Statistical inference and modelling for distributed systems

  • Wei Qi, Xue (Steve) Liu, Max Shen, Michelle Lu
    Deals on Wheels: Advancing Joint ML/OR Methodologies for Enabling City-Wide, Personalized and Mobile Retail

  • Marie-Ève Rancourt, Gilbert Laporte, Aurélie Labbe, Daniel Aloise, Valérie Bélanger, Joann de Zegher, Burcu Balcik, Marilène Cherkesly, Jessica Rodriguez Pereira
    Humanitarian Supply Chain Analytics

  • Saibal Ray, Maxime Cohen, James Clark, Ajung Moon
    Retail Innovation Lab: Data Science for Socially Responsible Food Choices

edited Mar 8, 2022 11:34 AM