Eugene Belilovsky
About
Dr. Eugene Belilovsky is an Assistant Professor in the Department of Computer Science and Software Engineering at Concordia University and a Core Academic Member of Mila (Quebec AI Institute). He holds a Canada CIFAR AI Chair and is a recipient of the FRQNT New Scholar award. Dr. Belilovsky is a leading researcher in the scaling and optimization of deep learning, with a specific focus on Distributed, Continual, and Federated Learning. His work aims to build "ever-learning" AI systems that can adapt to new tasks and decentralized data sources without requiring massive re-training costs or compromising data privacy.
Research Performance Summary
First Recorded Paper
Generalized cyclic transformations in speaker-independent speech recognition
Year: 2009
Citations: 8
Venue: IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU)
Latest Recorded Paper
Test Time Adaptation Using Adaptive Quantile Recalibration
Year: 2026
Citations: 0
Venue: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.