Members

We are looking for new PhD students, Postdocs, and Master students to join the team (see openings) !

Ismail Ben Ayed

Professor, Department of Systems Engineering

  • Graph cut algorithms, Convex optimization algorithms

  • Medical image analysis, Computer vision

  • Machine learning and pattern recognition, Markov random fields (MRF)

  • Image segmentation, Computer assisted diagnosis

Patrick Cardinal

Director and Professor, Department of Software Engineering and IT

  • PhD in Engineering at ÉTS

  • Master’s in Computer Science at McGill University

  • Speech recognition, Language Identification, Emotion Detection

Christian Desrosiers

Professor, Department of Software and IT Engineering

  • PhD in applied mathematics at École Polytechnique de Montréal

  • Postdoctoral research at University of Minnesota

  • Data mining, Machine learning, Recommender systems

José Dolz

Associate Professor, Software and Information Technology Engineering Department

  • PhD at INSERM Onco-Thai U1189

  • Postdoctoral researcher at LIVIA, ETS Montreal

  • Medical image analysis, Deep learning, Weakly supervised learning

Vincent Duchaine

Professor, Department of Software and IT Engineering

  • PhD in applied mathematics at École Polytechnique de Montréal

  • Robotics, Mechatronics, Physical human-robot interaction

  • Haptics, Tactile sensors, Impedance control

Matthew Toews

Professor, Department of Software Engineering and IT

  • PhD in Electrical and Computer Engineering

  • Postdoctoral fellow at Harvard Medical School (2009-2015)

  • Computer vision, Medical image analysis, Information theory

Robert Sabourin

Professor Emeritus, Department of Software Engineering and IT

  • Machine learning, Pattern recognition, Biometrics

  • Handwritten signature verification, Neural networks

  • Feature selection, Ensemble of classifiers

Marco Pedersoli

Professor, Department of System Engineering

  • PhD at Computer Vision Center and UAB

  • Post-doc at INRIA Grenoble and KU Leuven

  • Computer vision, Deep learning, Weakly supervised learning

Alessandro Lameiras Koerich

Professor, Department of Software Engineering and IT

  • Full Professor at PUCPR, Brazil

  • Co-founder of InviSys

  • Computer vision, Machine learning, Biometrics

Eric Granger

Professor, Department of Systems Engineering, Director of LIVIA

  • FRQS co-Chair in AI and Digital Health

  • ETS Industrial Research co-Chair on Embedded Neural Networks

  • Machine learning, Computer vision, Face recognition

  • Deep learning, Medical imaging, Video analytics

Tony Wong

Professor, Department of Software Engineering and IT

  • Object-oriented analysis and design (UML, CASE tools)

  • Parallel processing, Cluster computing

  • Computational intelligence, Multi-objective optimization

Rafael Menelau Oliveira e Cruz

Professor, Department of Software Engineering and IT

  • Machine learning, Pattern recognition

  • Multiple classifier systems, Dynamic ensemble selection

  • AutoML, Meta-learning, Biometrics

Mohamad Forouzanfar

Associate Professor, Department of Software Engineering and IT

  • PhD in Electrical and Computer Engineering, University of Ottawa

  • Postdoctoral positions at Harvard and Stanford

  • Research Scientist at SRI International (2017-2020)

  • Wearable medical systems, Sleep technology, Cardiovascular engineering

Mohammadhadi Shateri

Assistant Professor, Department of System Engineering

  • PhD in Electrical Engineering, McGill University

  • Data privacy and security in machine learning

  • Machine unlearning, Deep generative models, Reinforcement learning