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

Leila Nombo

Department(s)
  • Department of Mathematics and Statistics
Program(s)

Ph.D. in Statistics

Supervisor(s)
  • Anne-Sophie Charest

Analysis of differentially private synthetic datasets

Data Science

El Hadji Ousseynou Accrachi

Department(s)
  • Department of Mathematics and Statistics
Program(s)

Master’s in Statistics

Supervisor(s)
  • Anne-Sophie Charest
  • M'Hamed Lajmi Lakhal Chaieb

New statistical framework for fine-mapping

Data Science

Samarth Thonta Setty

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

Postdoctoral researcher in Molecular Medicine

Supervisor(s)
  • Arnaud Droit

Identifying the genetic causes of rare diseases using highthroughput bioinformatic approaches

Data Science Health

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

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

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

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

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

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

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

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

Ronan Lefol

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

Ph.D. in Physics

Supervisor(s)
  • Philippe Després

Portfolio dosimétrique personnalisé par calcul Monte Carlo en radiologie diagnostique

Data Science Health

Jacquelin Labrecque

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

Artificial intelligence applied to precision livestock farming

Data Science Life Sciences

Daniel Gourdeau

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

Ph.D. in Physics

Supervisor(s)
  • Louis Archambault
  • Simon Duchesne
  • Philippe Després

Synthetic FDG PET from MRI data (Prédiction d’évolution des démences par la radiomique)

Data Science Health

Abdelmajid Erramaline

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

Ph.D. in Geomatics

Supervisor(s)
  • Thierry Badard
  • Marie-Pier Côté

Développement d’un modèle capable de prédire, avec précision, les risques liés à l’utilisation du véhicule par les assurés et ainsi lier le calcul de la prime du client à l’utilisation du véhicule

Data Science Geospatial Data Insurance

Andréanne Deschênes

Research center(s)
  • CeRVIM
  • CERVO
  • CRDM
Department(s)
  • Department of Biochemistry, Microbiology and Bioinformatics
Program(s)

Ph.D. in Biophotonics

Supervisor(s)
  • Paul De Koninck
  • Flavie Lavoie-Cardinal

Parallelized multiplexed RESOLFT nanoscopy to study synaptic transmission in living neurons

Computer Vision Data Science

Maxime Deraspe

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

Ph.D. in Molecular Medicine

Supervisor(s)
  • Jacques Corbeil
  • Paul H. Roy

Utilisation of Kmer and NGS sequencing to compare complex genomes using Ray surveyor

Data Science Health

Antoine Bodein

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

Ph.D. in Molecular Medicine

Supervisor(s)
  • Arnaud Droit

MultiOmics Integration prostate par des approches bioinformatique

Data Science Life Sciences

Anthony Bilodeau

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

Ph.D. in Biophotonics

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

Intelligent STED nanoscopy of synaptic architecture at the nanoscale

Computer Vision Data Science

Nassim Benmesbah

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

Grasping and Bin-Picking for Data-Set Generation and Study of Reproducibility

Data Science

Ines Aouadi

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

Ph.D. in Administration Sciences

Supervisor(s)
  • Sehl Mellouli
  • Thierry Badard

Conception et modélisation d’un système de recommandation dans le cadre des assurances

Data Science Insurance

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

Hanae Zouitene

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

Master’s in Statistics

Supervisor(s)
  • Thierry Duchesne
  • Louis-Paul Rivest

Inférence causale pour mesurer le retour sur les investissements publicitaires

Data Science

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