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

Sewagnouin Rogia Kpanou

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

Ph.D. in Computer Science

Supervisor(s)
  • Jacques Corbeil
  • Elsa Rousseau

Characterization of drug-drug interactions by deep learning

Health Machine Learning

Fouad Jabiri

Research center(s)
  • CRDM
Department(s)
  • Department of Mathematics and Statistics
Program(s)

Master’s in Statistics

Supervisor(s)
  • Mario Marchand
  • Thierry Duchesne

Supervised and unsupervised methods for fraud detection

Machine Learning

Alexandre Hains

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

Master’s in Electrical Engineering

Supervisor(s)
  • Christian Gagné

Online Lifelong Learning

Machine Learning

Tesnim Hadhri

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

Master’s in Electrical Engineering

Supervisor(s)
  • Jean-François Lalonde

Depth Estimation for Train Images

Computer Vision Machine Learning

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

Mathieu Godbout

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

Ph.D. in Computer Science

Supervisor(s)
  • Audrey Durand

A theoretical characterization of generalization for Reinforcement Learning algorithms

Machine Learning Natural Language Processing

Élina Francovic-Fontaine

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

Ph.D. in Molecular Medicine

Supervisor(s)
  • Jacques Corbeil
  • Pascal Germain

Data Science Health Machine Learning

Antoine Dufour

Research center(s)
  • CeRVIM
  • CERVO
Department(s)
  • Department of Computer and Electrical Engineering
Program(s)

Master’s in Electrical Engineering

Supervisor(s)
  • Jean-François Lalonde

Deep Style Transfer

Computer Vision Machine Learning

Anthony Deschênes

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

Apprentissage automatique et optimisation pour favoriser l’adoption de modes de transports à źero-émission

Logistics Machine Learning

Roxane Debruyker

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

Master’s in Computer Science

Supervisor(s)
  • Richard Khoury

E-Community Health and Toxicity (Machine Learning, Neural Networks and Artificial Intelligence, Supervised Learning)

Machine Learning Natural Language Processing

Sam Chandavong

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

Master’s in Computer Science

Supervisor(s)
  • Nicolas Doyon
  • Simon Duchesne

Multi-level interface for visualisation of medical data (AI in medecine)

Health Machine Learning

Catherine Bouchard

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

Ph.D. in Electrical Engineering

Supervisor(s)
  • Christian Gagné
  • Flavie Lavoie-Cardinal

Biomedical image generation across modalities with Generative Adversarial Networks

Computer Vision Health Machine Learning

Cyril Blanc

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

Master’s in Electrical Engineering

Supervisor(s)
  • Christian Gagné
  • Jean-François Lalonde

Learning to Infer House Properties from Street-Level Images

Computer Vision Machine Learning Smart Environments

Luca Blanchout

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

Master’s in Electrical Engineering

Supervisor(s)
  • Jean-François Lalonde
  • Claude Demers
  • Marc Hébert

Indoor HDR Lighting Capture and Visualization

Computer Vision Machine Learning

Louis-Philippe Asselin

Research center(s)
  • CeRVIM
Department(s)
  • Department of Computer and Electrical Engineering
Program(s)

Master’s in Electrical Engineering

Supervisor(s)
  • Jean-François Lalonde
  • Denis Laurendeau

Surface Reflectance Estimation Using Deep Learning

Computer Vision Machine Learning

Ali Assafiri

Research center(s)
  • CRDIG
  • CRDM
Department(s)
  • Department of Geomatics Science
Program(s)

Master’s in Geomatics

Supervisor(s)
  • Christian Gagné
  • Sylvie Daniel

Geospatial Data Machine Learning

Alain Mathieu

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

Master’s in Computer Science

Supervisor(s)
  • Pascal Germain
  • François Laviolette

Évaluation du risque épistémique par approche baysienne

Machine Learning

Nora Ajakan

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

Master’s in Computer Science

Supervisor(s)
  • Richard Khoury

Machine Learning

Mohamed Abderrahmen Abid

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

Master’s in Electrical Engineering

Supervisor(s)
  • Christian Gagné

Machine Learning

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