Dr. Sylvain Colomer
Postdoctoral Fellow
Contact Information
Email: sylvain.colomer@utoronto.ca
ResearchGate:
Profile
Sylvain Colomer is a postdoctoral fellow in artificial intelligence and robotics. His research interests include machine learning, robotic navigation, and computer vision, with a particular emphasis on a bio-inspired approach. He is currently affiliated with the Ensminger lab at the University of Toronto Mississauga, where he is engaged in the delineation of trees on forest canopies using machine learning methods.
Before joining the Ensminger lab, Sylvain worked as a temporary teacher-researcher in the field of robotic navigation at the University of CY Cergy-Paris. During this period, he collaborated with Olivier Romain, Nicolas Cuperlier, and Guillaume Bresson on navigation challenges for autonomous vehicles. This research builds upon his doctoral thesis at the VEDECOM research institute, where he focused on developing novel robotic navigation models inspired by animal cognition.
On a personal level, Sylvain is an enthusiast of music, sports, and cooking. He particularly enjoys contact sports such as ice hockey, Brazilian jiu-jitsu, or boxing.
Education
PhD (Computer science) – VEDECOM research institute and University of CY Cergy-Paris – Versailles, France (2019-2022)
Msc (Artificial intelligence) – University of CY Cergy-Paris– Cergy, France (2017-2019)
Bsc (Computer science) – University of CY Cergy-Paris– Cergy, France (2015-2017)
Journal Publications
- T. Elouaret, S. Colomer, F. Demelo, N. Cuperlier, O. Romain, L. Kessal , S. Zuckerman (2023). “Implementation of a bio-inspired neural architecture for autonomous vehicle on a multi-FPGAs platform”, IEEE Access.
- S. Colomer, N. Cuperlier, G. Bresson, P. Gaussier, et O. Romain (2022).”LPMP: A Bio-Inspired Model for Visual Localization in Challenging Environments” , Front. Robot. AI.
Conference Proceedings
- S. Colomer, G. Bresson, N. Cuperlier, et O. Romain, « Sparse and topological coding for visual localisation of autonomous vehicles » 2022 International Conference on Simulation of Adaptive Behavior (SAB).
- T. Elouaret, S. Colomer, F. Demelo, N. Cuperlier, O. Romain, L. Kessal , S. Zuckerman, « Implementation of a bio-inspired neural architecture for autonomous vehicle on a reconfigurable platform », 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE).
- S. Colomer, N. Cuperlier, G. Bresson, and O. Romain, « Hierarchical Sparse Dictionaries: how sparsity, topology and pooling can improve visual place recognition », Human-like Behavior and Cognition in Robots – workshop at IROS, 2021.
- S. Colomer, N. Cuperlier, G. Bresson and O. Romain, « Forming a sparse representation for visual place recognition using a neurorobotic approach » 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021.