Scholar
Francois Leduc-Primeau
Google Scholar ID: SQrTW_kAAAAJ
École Polytechnique de Montréal
Citations & Impact
Citations
773
H-index
14
i10-index
18
Publications
20
Co-authors
7
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published several journal papers such as 'A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models' (Transactions on Machine Learning Research, 2025), 'Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming' (IEEE Transactions on Machine Learning in Communications and Networking, 2024), etc.
Research Experience
- Research topics cover error-correction codes, signal processing for the physical layer of communication systems, energy-efficient deep learning, and deep learning applied to communication systems.
Education
- Obtained M. Eng. and Ph. D. degrees in Electrical & Computer Engineering from McGill University in 2010 and 2016, respectively.
Background
- Associate Professor in the Electrical Engineering department of Polytechnique Montreal. Research interests include the design and analysis of algorithms for hardware implementations, and novel approaches for improving energy efficiency.
Miscellany
- Contact: Phone 514-340-4711 ext. 2204; Email francois.leduc-primeau@polymtl.ca; Office Address: Office M-5023, Polytechnique Montréal
