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

Benoît Turcotte

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

Master’s in Electrical Engineering

Supervisor(s)
  • Audrey Durand
  • Flavie Lavoie-Cardinal

Reinforcement Learning for adaptive microscopy imaging

Computer Vision Health 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
  • Michael Morin

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

Data Science Industry 4.0 Machine Learning

Antoine Séverin-Oillier

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

Master’s in Mechanical Engineering

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

Machine learning assisted detection of time- and spectrally resolved fluorescence signal in super-resolution microscopy

Computer Vision Health Machine Learning

Saeideh Sadeghpour

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

Master’s in Computer Science

Supervisor(s)
  • Richard Khoury

Détecter les mensonges dans les données soumises par les utilisateurs

Data Science Machine Learning Natural Language Processing

Dominique Piché-Meunier

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
  • Yannick Hold-Geoffroy

Computer Vision Machine Learning

William Leclerc

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
  • Flavie Lavoie-Cardinal

Unsupervised deep learning approaches for bacterial phenotype detection

Data Science Health Life Sciences Machine Learning

Benjamin Leblanc

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

Ph.D. in Computer Science

Supervisor(s)
  • Pascal Germain

Interprétabilité des réseaux de neurones à fonction d’activation

Data Science Machine Learning

Alexandre Larouche

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
  • Richard Khoury

Reinforcement Learning for combinatorial optimization applied to polypharmacy characterization

Health Machine Learning

Damien LaRocque

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

Master’s in Computer Science

Supervisor(s)
  • Philippe Giguère
  • François Pomerleau

Ground identification though energy consumption

Computer Vision Data Science Machine Learning Smart Environments

Ludovic Girard

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

Master’s in Computer Science

Supervisor(s)
  • Philippe Giguère
  • François Pomerleau

Application of Deep Learning on rare target detection in hyperspectral imagery

Computer Vision Machine Learning

Félix Gélinas-Gascon

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

Master’s in Computer Science

Supervisor(s)
  • Richard Khoury

Conversations dans les commentaires sur les nouvelles de la COVID-19

Health Machine Learning Natural Language Processing

Antoine Gariépy

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

Bandits for adaptive and personalized recommendations in mHealth applications

Data Science Health Machine Learning

Léandre Gagnon-Lewis

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

Master’s in Computer Science

Supervisor(s)
  • Mario Marchand

Data Science Machine Learning

Jean-Michel Fortin

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

Master’s in Computer Science

Supervisor(s)
  • Philippe Giguère
  • François Pomerleau

Forestry forwarder crane automation using RGBD cameras and Deep Learning

Computer Vision Machine Learning Smart Environments

Guillaume Desmarais-De Grandpré

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
  • Richard Khoury

Characterizing bias and generalization in machine learning methods for polypharmacy detection

Data Science Health Machine Learning

Alexandre Bouras

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

Master’s in Computer Science

Supervisor(s)
  • Richard Khoury

Recommandation d’articles de nouvelles

Data Science Machine Learning Natural Language Processing

William Ricardo Bonilla Villatoro

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

Master’s in Electrical Engineering

Supervisor(s)
  • Denis Laurendeau

Détection des émotions par imagerie et apprentissage machine

Computer Vision Machine Learning

Theophile Bertheloot

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
  • Richard Khoury

Data mining methods for detecting drug combination effects in polypharmacy

Health Machine Learning

Renaud Bernatchez

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

Master’s in Biophotonics

Supervisor(s)
  • Audrey Durand
  • Flavie Lavoie-Cardinal

Active Learning approaches for online quantitative analysis of optical microscopy

Data Science Machine Learning

Jean-Michel Bellavance

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

Master’s in Neurosciences

Supervisor(s)
  • Flavie Lavoie-Cardinal
  • Chantelle Sephton

Multi-modal imaging of synaptic protein organization to detect early signs of neuro-degeneration

Computer Vision Health Machine Learning

Frédéric Beaupré

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

Master’s in Biophotonics

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

Development of anomaly detection approaches for the detection of early signs of neurodegeneration

Data Science Health Machine Learning

Mathieu Bazinet

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

Master’s in Computer Science

Supervisor(s)
  • Pascal Germain

Data Science Machine Learning

William Albert

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

Master’s in Geomatics

Supervisor(s)
  • Sylvie Daniel

Automatic detection and characterization of occlusions in large-scale urban point clouds using deep neural networks

Geospatial Data Machine Learning

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

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

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

Let’s keep in touch!

Would you like to be informed about IID news and activities? Subscribe now to our monthly newsletter.