معرفی
Christopher Pal is a Full Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. With a Ph.D. from the University of Waterloo, he has held academic positions at the University of Rochester and the University of Toronto, and industry roles at Interval Research and Microsoft Research's Interactive Visual Media Group.
- Fields of Expertise: Artificial Intelligence, Computer Vision, Pattern Recognition, Machine Learning, and Natural Language Processing
- Affiliations: CIFAR Chair in Artificial Intelligence, Institute for Data Valorization (IVADO) Member
His research focuses on deep learning applications in visual question answering, medical image segmentation, and generative models. Recent work involves multimodal data analysis for climate modeling and vision-language systems for code generation.
Key projects include CarbonSense for climate flux modeling and GeoCoder for geometry problem-solving AI. His 15 most recent publications (2023-2025) span topics from diffusion models to multi-agent systems, with emphasis on video generation, 3D animation, and environmental applications.
Scientific recognition includes:
- CIFAR Chair in Artificial Intelligence
- IVADO Institute Membership
- Top-2% cited researcher (2021)
He has supervised 22 Ph.D. and Master's students, with recent graduates working on generative AI, reinforcement learning, and medical imaging. Current research grants include MITACS-funded projects in software engineering agents and drone imagery analysis for tropical forest conservation.
