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

Afshin Jamshidi

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

Postdoctoral researcher in Operation and Decision Systems

Supervisor(s)
  • Arnaud Droit

Identifications de biomarqueurs lors de l’asterosclerose par des approches d’apprentissage profond (deep learning)

Health Machine Learning

Fatemeh Gholizadeh Karrat

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

Postdoctoral researcher in Electrical Engineering

Supervisor(s)
  • Christian Gagné
  • Caroline Sirois

Machine Learning

Mahsa Dadar

Research center(s)
  • CERVO
Department(s)
  • Department of Radiology
Program(s)

Postdoctoral researcher in Medecine

Supervisor(s)
  • Simon Duchesne
  • Richard Camicioli

Machine learning driven small vessel disease lesion segmentation

Health Machine Learning

Fan Zhou

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

Postdoctoral researcher in Computer Science

Supervisor(s)
  • Brahim Chaib-draa

Deep Active Learning: Unified and Principled Method for Query and Training

Machine Learning

Luxin Zhang

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

Ph.D. in Computer Science

Supervisor(s)
  • Pascal Germain

Transfer Learning for Anomaly Detection

Machine Learning

Paul Viallard

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

Ph.D. in Computer Science

Supervisor(s)
  • Émilie Morvant
  • Pascal Germain
  • Amaury Habrard

Interpreting Representation Learning Through PAC-Bayes Theory

Machine Learning

Zeineb Trabelsi

Research center(s)
  • CRDM
Department(s)
  • Department of Organizational Information Systems
Program(s)

Ph.D. in Administration Sciences

Supervisor(s)
  • Sehl Mellouli
  • Richard Khoury

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

Machine Learning Natural Language Processing

Prudencio Tossou

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

Ph.D. in Computer Science

Supervisor(s)
  • Mario Marchand
  • Jacques Corbeil
  • François Laviolette

Machine learning implementation in drug discovery

Health Machine Learning

Pier-Luc Plante

Research center(s)
  • CRDM
Department(s)
  • Department of Molecular Medicine
Program(s)

Ph.D. in Molecular Medicine

Supervisor(s)
  • Mario Marchand
  • Jacques Corbeil

Coupling high throughput Mass spectrometry to machine learning to uncover biomarkers

Health Machine Learning

Mathieu Pagé-Fortin

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

Ph.D. in Computer Science

Supervisor(s)
  • Brahim Chaib-draa

Multimodal Sentiment Analysis: A Multitask Learning Approach

Machine Learning

Mazid Abiodoun Osseni

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

Ph.D. in Computer Science

Supervisor(s)
  • Jacques Corbeil
  • François Laviolette

Machine learning algorithm for biomarker discovery

Health Machine Learning

Alexandre Lemire-Paquin

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

Ph.D. in Computer Science

Supervisor(s)
  • Philippe Giguère
  • Brahim Chaib-draa

Régularisation au travers de l’optimisation pour l’apprentissage profond

Machine Learning

Benjamin Léger

Research center(s)
  • CeRVIM
  • CRDM
Program(s)

Ph.D. in Electrical Engineering

Supervisor(s)
  • Christian Gagné

Machine Learning

Mathieu Garon

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

Ph.D. in Electrical Engineering

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

Deep learning for 3D reconstruction

Computer Vision Machine Learning

Marc-André Gardner

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

Ph.D. in Electrical Engineering

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

Semantics in Deep Neural Networks

Machine Learning Natural Language Processing

Pierre-Louis Gagnon

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

Ph.D. in Computer Science

Supervisor(s)
  • François Laviolette
  • Pierre Marquet

Développement d’algorithmes d’apprentissage automatique en microscopie holographique numérique

Computer Vision Health Machine Learning

Gabriel Dubé

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

Ph.D. in Computer Science

Supervisor(s)
  • Mario Marchand
  • François Laviolette

Réseaux aléatoires en apprentissage automatique

Machine Learning

Geoffroi Côté

Research center(s)
  • CRDM
Department(s)
  • Department of Physics, Physics Engineering and Optics
Program(s)

Ph.D. in Physics

Supervisor(s)
  • Simon Thibault
  • Jean-François Lalonde

Deep learning for lens design

Computer Vision Machine Learning

Julie Buquet

Research center(s)
  • CRDM
Department(s)
  • Department of Physics, Physics Engineering and Optics
Program(s)

Ph.D. in Physics

Supervisor(s)
  • Simon Thibault
  • Jean-François Lalonde

Deep Learning for Wide Angle Images

Computer Vision Machine Learning

Francis Brière

Research center(s)
  • CRDM
Department(s)
  • Department of Molecular Medicine
Program(s)

Ph.D. in Molecular Medicine

Supervisor(s)
  • Jacques Corbeil

High throughput mass spectrometry coupled to machine learning for biomarker discovery

Computer Vision Machine Learning

Baptiste Bauvin

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

Ph.D. in Computer Science

Supervisor(s)
  • Jacques Corbeil
  • François Laviolette

Apprentissage automatique multivues en sciences de la vie

Life Sciences Machine Learning

Jean-Thomas Baillargeon

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

Ph.D. in Computer Science

Supervisor(s)
  • Luc Lamontagne
  • Étienne Marceau

Prediction from textual claim reports using deep learning

Machine Learning Natural Language Processing

Amar Ali-Bey

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

Ph.D. in Computer Science

Supervisor(s)
  • Philippe Giguère
  • Brahim Chaib-draa

Reconnaissance visuelle des lieux à l’aide des réseaux de neurones profonds

Computer Vision Machine Learning

Hana Ajakan

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

Ph.D. in Computer Science

Supervisor(s)
  • Mario Marchand
  • François Laviolette

Adaptation de domaine en apprentissage automatique

Machine Learning

Madieh Abbasi

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

Ph.D. in Electrical Engineering

Supervisor(s)
  • Christian Gagné
  • Denis Laurendeau

Ensemble Methods, Adversarial Attacks and Deep Learning

Data Science Machine Learning

Kevin Voyer

Research center(s)
  • CRDM
Program(s)

Master’s in Physics

Supervisor(s)
  • Philippe Després

Développement d’un outil d’aide à la prise de décision permettant l’approbation de médicaments d’exception basé sur des algorithmes d’apprentissage supervisé

Data Science Machine Learning

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