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

Simon Tam

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

Ph.D. in Mechanical Engineering

Supervisor(s)
  • Benoit Gosselin
  • Alexandre Campeau-Lecours

Advanced Machine learning algorithms for the control of prosthetic hands with EMG sensors

Data Science Health Machine Learning Robotics

Mélina Côté

Department(s)
  • School of Nutrition
Program(s)

Ph.D. in Nutrition

Supervisor(s)
  • Benoit Lamarche

Predicting Adherence to Canada’s Food Guide Recommendations on Healthy Food Choices Using Machine Learning Algorithms

Data Science Health Machine Learning

Marianne Boyer

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

Ph.D. in Mechanical Engineering

Supervisor(s)
  • Alexandre Campeau-Lecours

Development of intelligent algorithms based on biomedical sensors for real-time muscular fatigue detection

Data Science Health Machine Learning

Arman Safarnejadian

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

Master’s in Electrical Engineering

Supervisor(s)
  • Ming Zeng

Machine learning empowered optical communications

Machine Learning Smart Environments

Étienne Gael Tajeuna

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

Postdoctoral Internship in Computer Science

Supervisor(s)
  • Pascal Germain
  • Jacques Corbeil

Data Science Health Machine Learning

Yohann Chiu

Research center(s)
  • CRDM
Department(s)
  • Faculty of Pharmacy
Program(s)

Postdoctoral Internship in Medecine

Supervisor(s)
  • Caroline Sirois
  • Richard Khoury

Déterminer la qualité de la polypharmacie chez les aînés : une approche basée sur l’intelligence artificielle

Health Machine Learning

Tasnime Touil

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

Ph.D. in Animal Sciences

Supervisor(s)
  • Éric Paquet

L’intelligence artificielle appliquée à l’analyse de la composition fine du lait

Data Science Life Sciences Machine Learning

Amir Omidi

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

Ph.D. in Electrical Engineering

Supervisor(s)
  • Leslie Rusch
  • Ming Zeng

ML for constellation design in optical communications

Machine Learning

Jonas Ngnawé

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

Ph.D. in Computer Science

Supervisor(s)
  • Christian Gagné
  • Frédéric Precioso

Développement d’un cadre méthodologique général pour atteindre la robustesse aux instances adverses par la détection et la régularisation

Confidentiality Data Science Machine Learning

Axel Gedeon Mengara

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

Ph.D. in Computer Science

Supervisor(s)
  • Richard Khoury

Discovering user preferences from interactions with an insurance company

Insurance Machine Learning Natural Language Processing

Ian Maquignaz

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

Computer Vision Machine Learning

Hamza Imtiaz

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

Ph.D. in Electrical Engineering

Supervisor(s)
  • Leslie Rusch
  • Ming Zeng

ML for equalization of nonlinear impairments in silicon photonics devices

Internet of Things Machine Learning

Rizan Homayoun Nejad

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

Ph.D. in Electrical Engineering

Supervisor(s)
  • Leslie Rusch

ML for resource allocation in modal multiplexed optical systems

Machine Learning

Louis Fortier-Dubois

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

Ph.D. in Computer Science

Supervisor(s)
  • Pascal Germain

Complexité et capacité de généralisation des réseaux de neurones

Data Science Machine Learning

Lamiae El Mendili

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

Ph.D. in Geomatics

Supervisor(s)
  • Thierry Badard
  • Sylvie Daniel

Unsupervised domain adaptation for semantic segmentation of large-scale 3D point clouds

Data Science Geospatial Data Machine Learning

Niffa Cheick Oumar Diaby

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

Ph.D. in Computer Science

Supervisor(s)
  • Mario Marchand
  • Thierry Duchesne

Data Science Machine Learning

Luc Coupal

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
  • François Pomerleau

Resilient Deep RL policy for real-world robotics facing adverse conditions

Machine Learning Robotics

Qi Chen

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

Ph.D. in Computer Science

Supervisor(s)
  • Mario Marchand

Data Science Machine Learning

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

Akshaya Athwale

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

Computer Vision Machine Learning

Wissam Akretche

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

Ph.D. in Computer Science

Supervisor(s)
  • Mario Marchand

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

Catherine Villeneuve

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

Méthodes d’apprentissage par renforcement pour la modélisation du mouvement du renard arctique

Machine Learning Smart Environments

Louis-Philippe Vignault

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

Master’s in Mathematics and Statistics

Supervisor(s)
  • Audrey Durand
  • Pascal Germain

PAC-Bayesian theory and Reinforcement Learning

Data Science 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

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