Ph.D. (14)
- Nizar El Ghazal, Electrical Engineering
- Olivier Bussière, Computer Science (cosupervisor: Bobin Wang)
- Mathis Rezzouk, Electrical Engineering (supervisor: Flavie Lavoie-Cardinal)
- Arian Yavari, Computer Science (supervisor: Jiayi Hong)
- Rose Nayoung Kwon, Computer Science
- Meryam Chaieb, Computer Science (supervisor: Bobin Wang)
- Frédéric Beaupré, Biophotonic (cosupervisor: Flavie Lavoie-Cardinal)
- Jonas Ngnawé, Computer Science (cosupervisor: Frédéric Precioso, Université Côte d’Azur)
- Sara Karami, Electrical Engineering
- Sabyasachi Sahoo, Electrical Engineering (cosupervisor: Frédéric Precioso, Université Côte d’Azur)
- Catherine Bouchard, Electrical Engineering (cosupervisor: Flavie Lavoie-Cardinal)
- Adam Tupper, Electrical Engineering
- Benjamin Léger, Electrical Engineering
- Sophie Baillargeon, Mathematics (specialization in Statistic) (supervisor: Thierry Duchesne)
Master’s (3)
- Fatemeh Nourilenjan Nokabadi, Adversarial Robustness of Learning-based Single Object Trackers, Electrical Engineering (cosupervisor: Jean-François Lalonde) 2025
- Arman Afrasiyabi, Representation Learning for Few-shot Image Classification, Electrical Engineering (cosupervisor: Jean-François Lalonde) 2022
- Changjian Shui, Principled Deep Learning Approaches for Learning from Limited Labeled Data through Distribution Matching, Electrical Engineering (cosupervisor: Boyu Wang, Western Ontario) 2022
- Mahdieh Abbasi, Toward Robust Deep Neural Networks, Electrical Engineering (cosupervisor: Denis Laurendeau) 2020
- Marc-André Gardner, Learning to Estimate Indoor Illumination, Electrical Engineering (supervisor: Jean-François Lalonde) 2020
- Karol Lina Lopez, A Machine Learning Approach for the Smart Charging of Electric Vehicles, Electrical Engineering 2019
- Julien-Charles Lévesque, Bayesian Hyperparameter Optimization: Overfitting, Ensembles and Conditional Spaces, Electrical Engineering (cosupervisor: Robert Sabourin, ÉTS Montréal) 2018
- Audrey Durand, Déclinaisons de bandits et leurs applications, Electrical Engineering (cosupervisor: Joelle Pineau, McGill) 2017
- Ahmed Najjar, Forage de données de banques administratives en santé, Electrical Engineering (cosupervisor: Daniel Reinharz) 2017
- Vahab Akbarzadeh, Spatio-Temporal Coverage Optimization of Sensor Networks, Electrical Engineering (cosupervisor: Marc Parizeau) 2016
- Zahra Toony, Extracting Structured Models From Raw Scans of Manufactured Objects: A Step Towards Embedded Intelligent Handheld 3D Scanning, Electrical Engineering (supervisor: Denis Laurendeau) 2015
- François-Michel De Rainville, Placement interactif de capteurs mobiles dans des environnements tridimensionnels non convexes, Electrical Engineering (cosupervisor: Denis Laurendeau) 2015
- Meysam Argany, Development of a GIS-based Method for Sensor Network Deployment and Coverage Optimization, Geomatic Sciences (supervisor: Mir Abolfazl Mostafavi) 2015
- Darwin Brochero, Hydroinformatics and Diversity in Hydrological Ensemble Prediction Systems, Water Engineering (supervisor: François Anctil) 2013
- Cynthia García Ybarra, Adversarial Random Forest for Synthetic Electronic Health Records Generation, Computer Science (cosupervisor: Anne-Sophie Charest) 2025
- Antoine Séverin Ollier, Développement d’un module de détection hyperspectrale et résolu dans le temps pour la microscopie STED, Electrical Engineering (supervisor: Flavie Lavoie-Cardinal) 2024
- Thomas Philippon, Robustesse des mécanismes de défense adverse basés sur les ensembles de réseaux de neurones, Electrical Engineering 2023
- Cyril Blanc, Caractérisation automatique d’immeuble depuis une image de façade, Electrical Engineering (supervisor: Jean-François Lalonde) 2022
- Mohamed Abderrahmen Abid, Diverse Image Generation with Very Low Resolution Conditioning, Electrical Engineering 2021
- Gabriel Leclerc, Apprendre de données positives et non étiquetées: application à la segmentation et la détection d’événements calciques, Electrical Engineering (cosupervisor: Flavie Lavoie-Cardinal) 2021
- Hugo Siqueira Gomes, Meta Learning for Population-Based Algorithms in Black-box Optimization, Electrical Engineering 2021
- Louis-Émile Robitaille, Réseaux de neurones pour l’apprentissage de la préférence en microscopie super-résolution, Electrical Engineering (cosupervisors : Audrey Durand and Flavie Lavoie-Cardinal) 2021
- Sébastien De Blois, Deep Learning with Multiple Modalities: Making the Most Out of Available Data, Electrical Engineering 2020
- El Mehdi Megder, Approches basées sur l’apprentissage automatique pour l’anticipation de la qualité d’usinage de pièces métalliques, Computer Science (supervisor: Jonathan Gaudreault) 2020
- Marc-André Gardner, Contrôle de la croissance de la taille des individus en programmation génétique, Electrical Engineering (cosupervisor: Marc Parizeau) 2014
- Kevin Tanguy, Modélisation et optimisation de la recharge bidirectionnelle de véhicules électriques : application à la régulation électrique d’un complexe immobilier, Electrical Engineering (cosupervisor: Maxime Dubois) 2013
- Audrey Durand, Simulation et apprentissage Monte-Carlo de stratégies d’intervention en santé publique, Electrical Engineering (cosupervisor: Daniel Reinharz) 2011
- François-Michel De Rainville, Design d’expérimentation interactif : Aide à la compréhension de systèmes complexes, Electrical Engineering (supervisor: Denis Laurendeau) 2010
Postdoctoral Fellows (8)
