This profile is built from public research funding records (CIHR, NSERC and SSHRC). We have not imported them from a Polytechnique Montréal directory, so their publications, courses and email address may be missing. Find their university profile.
Latest funding
- $367,977
Arch[AI]ve: Building an AI-Assisted Tool for Conserving and Curating Orphan Films
SSHRC · 2025 · Co-investigator
- $240,000
From Perception and Learning to Understanding and Action
NSERC · 2020 · Principal investigator
- $250,766
NSERC industrial research chair (IRC) on deep AI for multimedia and assistive technology
NSERC · 2017 · Principal investigator
Arch[AI]ve: Building an AI-Assisted Tool for Conserving and Curating Orphan Films
Principal investigators: McFalls, Laurence
From Perception and Learning to Understanding and Action
Principal investigators: Pal, Christopher
Keywords: deep learning; perception; natural language processing; simulation; robotics
NSERC industrial research chair (IRC) on deep AI for multimedia and assistive technology
Principal investigators: Pal, Christopher
NSERC industrial research chair (IRC) on deep AI for multimedia and assistive technology
Principal investigators: Pal, Christopher
High-performance computing environment to leverage deep learning technology for large biomedical and neuroimaging data
Principal investigators: Bengio, Yoshua
NSERC COHESA: Computing Hardware for Emerging Intelligent Sensory Applications
Principal investigators: Moshovos, Andreas AM
Deep learning for cognitive computing
Principal investigators: Bengio, Yoshua
Big Data Processing and Analytics - Mining Noisy Visual Data and Learning Transferrable Predictive Models
Principal investigators: Pal, Christopher
Learning representations of players' emotions and state for next generation gaming
Principal investigators: Vincent, Pascal
The automated localization of kidneys in CT imagery
Principal investigators: Pal, Christopher
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.