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

Tania Cuppens

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

Postdoctoral researcher in Molecular Medicine

Supervisor(s)
  • Arnaud Droit

Elaboration d’approches de détection de variants structuraux à partir de donńees de type Whole Genome Sequencing

Data Science Health

Iman Beheshti

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

Postdoctoral researcher in Medecine

Supervisor(s)
  • Simon Duchesne

BrainAge patch-based technique

Data Science Health

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

Jinsong Zhang

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

Data-driven HDR Illumination from Outdoor Images

Computer Vision Data Science

Elmira Yekani-Khoei

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

Ph.D. in Electrical Engineering

Supervisor(s)
  • Benoit Gosselin
  • François Laviolette

Massive multimodal-sensors data management to predict and monitor epileptic seizures

Data Science Health

Alireza Yeganehparast

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

Ph.D. in Computer Science

Supervisor(s)
  • Josée Desharnais
  • François Laviolette

Certifying AI through probabilistic formal methods

Data Science

Theresa Wiesner

Research center(s)
  • CERVO
  • CRDM
Department(s)
  • Department of Psychiatry and Neurosciences
Program(s)

Postdoctoral researcher in Biophotonics

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

Computer Vision Health Machine Learning

Pengmin Wang

Research center(s)
  • CRDM
Department(s)
  • Department of Animal Sciences
Program(s)

Ph.D. in Animal Sciences

Supervisor(s)
  • Claude Robert
  • Éric Paquet

Long coding RNAs in early development

Data Science Life Sciences

Benjamin Vittrant

Research center(s)
  • CRDM
Program(s)

Ph.D. in Molecular Medicine

Supervisor(s)
  • Arnaud Droit
  • Yves Fradet

Caractérisation du paysage immunologique du cancer de la prostate par des approches bioinformatique

Data Science Health

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

Maxime Vaidis

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

3D mapping of large underground environments

Computer Vision Smart Environments

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

Vanessa Simard

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

Ph.D. in Mechanical Engineering

Supervisor(s)
  • Nadia Lehoux
  • Mikael Rönnqvist

Intégration de l’incertitude des données dans l’optimisation de l’approvisionnement forestier

Data Science Logistics

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

Émanuel Paré

Research center(s)
  • CRDM
Program(s)

Ph.D. in Molecular Medicine

Supervisor(s)
  • Jacques Corbeil

Tackling metabolic diseases using high throughput mass spectrometry coupled to artificial intelligence algorithms

Data Science Health

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

Yannick Ouellet

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

A O(n log2 n) Checker and O(n2 log n) Filtering

Data Science

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

Régis Ongaro-Carcy

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

Ph.D. in Molecular Medicine

Supervisor(s)
  • Arnaud Droit

Big data approaches for multi-OMICS analyses

Data Science Health

Mahtab Mousavi

Research center(s)
  • CIRRELT
Program(s)

Ph.D. in Mechanical Engineering

Supervisor(s)
  • Nadia Lehoux
  • Luc LeBel

Optimisation de la chaine de production de plans au Québec

Logistics Operations Research

Seyedadel Moravveji

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

Ph.D. in Mathematics

Supervisor(s)
  • Nicolas Doyon
  • Simon Duchesne

Data Science Health

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

Akmaral Moldagalieva

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

Increasing robustness of 2D and 3D perception in adversarial weather for autonomous vehicles

Computer Vision Smart Environments

Amal Marzouki

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

Ph.D. in Administration Sciences

Supervisor(s)
  • Sehl Mellouli
  • Sylvie Daniel

Vers une plateforme de participation citoyenne basée sur la visualisation géosptatiale

Geospatial Data Smart Environments

Reza Mahmoodi Koohi

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

Ph.D. in Geomatics

Supervisor(s)
  • Denis Laurendeau
  • Sylvie Daniel

Conception d’un réseau de neurones profond adapté aux nuages de points géospatiaux pour la cartographie 3D de grands espaces urbains

Geospatial Data Smart Environments

Duc Thien Luong

Research center(s)
  • CeRVIM
Program(s)

Ph.D. in Electrical Engineering

Supervisor(s)
  • Denis Laurendeau

Parallelism For A Fast and Interactive Visualization For Out-core 3D Mesh (approaching real-time visualizaion for 1-billion-point cloud)

Computer Vision

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