Our graduate students contribute to the advancement of research in fields involving artificial intelligence and data science

Graduate students work together with IID researchers to contribute to the development and enrichment of knowledge in a multitude of fields of application – from industry 4.0 to the Internet of Things (IoT), from machine learning methods to immersive technologies, from smart cities to medical imaging, and more.

Students

Patrice Lajoie

Research center(s)
  • CIRRELT
Department(s)
  • Department of Mechanical Engineering
Program(s)

Ph.D. in Mechanical Engineering

Supervisor(s)
  • Nadia Lehoux

Conception d’un outil de simulation pour le contrôle de l’échantillonnage en milieu manufacturier 4.0

Industry 4.0 Operations Research

Maude Gagné

Research center(s)
  • CIRRELT
Department(s)
  • Department of Information and Decision Systems
Program(s)

Ph.D. in Business Administration

Supervisor(s)
  • Jacques Renaud

Optimisation et déploiement de systèmes d’entreposage automatisés

Industry 4.0 Logistics Operations Research

Roger Booto Tokime

Research center(s)
  • CeRVIM
  • CRDM
Department(s)
  • Department of Computer Science and Software Engineering
Program(s)

Ph.D. in Computer Science

Supervisor(s)
  • Xavier Maldague
  • François Pomerleau

Reconnaissance assistée des défauts : Un voyage d’apprentissage profond dans l’inspection radiographique numérique industrielle

Computer Vision Industry 4.0 Machine Learning

Rania Antar Eltaieb Abouelela

Department(s)
  • Department of Computer and Electrical Engineering
Program(s)

Ph.D. in Electrical Engineering

Supervisor(s)
  • Leslie Rusch

ML for design of optical fibers

Industry 4.0 Machine Learning

François-Alexandre Tremblay

Research center(s)
  • CeRVIM
  • CRDM
Department(s)
  • Department of Computer Science and Software Engineering
Program(s)

Master’s in Computer Science

Supervisor(s)
  • Audrey Durand
  • Jonathan Gaudreault

Reinforcement Learning for wood processing factory optimization

Data Science Industry 4.0 Machine Learning

Jean-Thomas Sexton

Research center(s)
  • CRDM
Department(s)
  • Department of Computer Science and Software Engineering
Program(s)

Master’s in Computer Science

Supervisor(s)
  • Jonathan Gaudreault

Pilotage en temps réel d’une ligne de rabotage à l’aide de l’apprentissage par renforcement

Data Science Industry 4.0 Machine Learning

Émilie Lachance

Research center(s)
  • CIRRELT
  • CRDM
Department(s)
  • Department of Mechanical Engineering
Program(s)

Master’s in Mechanical Engineering

Supervisor(s)
  • Nadia Lehoux

Conception d’un système de production robotisé pour des projets de construction en bois

Industry 4.0 Logistics Operations Research

Marc-André Ménard

Research center(s)
  • CRDM
Department(s)
  • Department of Computer Science and Software Engineering
Program(s)

Ph.D. in Computer Science

Supervisor(s)
  • Claude-Guy Quimper
  • Jonathan Gaudreault

Learning Sensitivity of RCPSP by Analyzing the Search Process

Industry 4.0 Operations Research

Vincent Martineau

Research center(s)
  • CRDM
Department(s)
  • Department of Computer Science and Software Engineering
Program(s)

Master’s in Computer Science

Supervisor(s)
  • Jonathan Gaudreault

Création et évaluation de méta-modèles se substituant aux modèles de simulation du débitage

Industry 4.0

Vincent Grondin

Research center(s)
  • CeRVIM
  • CRDM
Department(s)
  • Department of Computer Science and Software Engineering
Program(s)

Ph.D. in Computer Science

Automation of tree felling using RGBD images

Computer Vision Data Science Industry 4.0 Machine Learning

François Chêné

Research center(s)
  • CRDM
Department(s)
  • Department of Computer Science and Software Engineering
Program(s)

Master’s in Computer Science

Supervisor(s)
  • Claude-Guy Quimper
  • Jonathan Gaudreault

Human centered Mixed-Initiative Systems applied to a wood industry strategic planification optimization real-time interactive expert system

Industry 4.0 Logistics

Catherine Bourdeau-Laferrière

Research center(s)
  • CRDM
Department(s)
  • Department of Computer Science and Software Engineering
Program(s)

Master’s in Computer Science

Supervisor(s)
  • Jonathan Gaudreault
  • Carl Duchesne

Monitoring et analyse prédictive d’une teinturerie dans une perspective Industrie 4.0 pour réduire les écarts de couleur

Industry 4.0 Operations Research

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