Charles Audet, Sébastien Le Digabel, Michael Kokkolaras, Miguel Diago Martinez
Combining machine learning and blackbox optimization for engineering designMichel Denault, Dominique Orban, Pierre-OIivier Pineau
Paths to a cleaner Northeast energy system through approximate dynamic programmingMehmet Gumus, Erick Delage, Arcan Nalca, Angelos Georghiou
Data-driven Demand Learning and Sharing Strategies for Two-Sided Online MarketplacesJonathan 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 MontréalNadia Lahrichi, Sébastien Le Digabel, Andrea Matta, Nicolas Zufferey, Andrea Lodi, Chunlong Yu
Reactive/learning/self-adaptive metaheuristics for healthcare resource schedulingLiam Paull, Derek Nowrouzezahrai, James Forbes
Differentiable perception, graphics, and optimization for weakly supervised 3D perceptionJean-François Plante, Patrick Brown, Thierry Duchesne, Nancy Reid, Luc Villandré
Statistical inference and modelling for distributed systemsWei Qi, Xue (Steve) Liu, Max Shen, Michelle Lu
Deals on Wheels: Advancing Joint ML/OR Methodologies for Enabling City-Wide, Personalized and Mobile RetailMarie-Ève Rancourt, Gilbert Laporte, Aurélie Labbe, Daniel Aloise, Valérie Bélanger, Joann de Zegher, Burcu Balcik, Marilène Cherkesly, Jessica Rodriguez Pereira
Humanitarian Supply Chain AnalyticsSaibal Ray, Maxime Cohen, James Clark, Ajung Moon
Retail Innovation Lab: Data Science for Socially Responsible Food Choices
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Announcement
Several GERAD teams funded by IVADO
Congratulations to the teams selected to lead new fundamental research projects!