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

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

Jean-Samuel Leboeuf

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

Ph.D. in Computer Science

Supervisor(s)
  • Mario Marchand

Predicting and interpreting embeddings for out of vocabulary words in downstream tasks

Natural Language Processing

Essaied Khadija

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

Ph.D. in Computer Science

Supervisor(s)
  • Sehl Mellouli
  • Richard Khoury

Agents conversationnels intelligents et Intelligence artificielle en assurance

Insurance Natural Language Processing

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

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

Talia Sanchez Viera

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)

Natural Language Processing

Slim Oueslati

Research center(s)
  • CRDM
Program(s)

Master’s in Statistics

Supervisor(s)
  • Thierry Duchesne
  • Luc Lamontagne

Détection automatique de changements dans l’utilisation du vocabulaire à l’aide de l’allocation latente de Dirichlet

Natural Language Processing

Jian Mo

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

Master’s in Computer Science

Supervisor(s)
  • Richard Khoury
  • Luc Lamontagne

Word Embeddings and Global Preference for Contextual Suggestion

Natural Language Processing

Xavier Lindsay

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

Master’s in Computer Science

Supervisor(s)
  • Richard Khoury

Natural Language Processing

Marc-André Larochelle

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

Master’s in Computer Science

Supervisor(s)
  • Richard Khoury

Natural Language Processing

Mathieu Godbout

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

Master’s in Computer Science

Supervisor(s)
  • Audrey Durand
  • Luc Lamontagne

A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well

Machine Learning Natural Language Processing

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

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