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François Leduc-Primeau
B.Eng., M.Eng., Ph.D.
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Associate Professor
Department of Electrical Engineering
Phone: (514) 340-4711 Ext. 2204 Fax: (514) 340-4078 Room: M-5023
Areas of expertise
Integrated circuits Communications systems Microelectronics Wireless communication systems Computer hardware Computer systems organization VLSI systems
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Research interests and affiliations

Research interests

Digital circuits and systems, telecommunication systems, hardware for deep learning, error-correction codes

Affiliation(s)
Expertise type(s) (NSERC subjects)
  • 2504 Integrated circuits
  • 2507 Communications systems
  • 2519 Microelectronics
  • 2525 Wireless communication systems
  • 2701 Computer hardware
  • 2702 Computer systems organization
  • 2722 VLSI systems

Publications

Recent publications
Journal article
Hojatian, H., Nadal, J., Frigon, J.-F. & Leduc-Primeau, F. (2022). Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning. IEEE Communications Letters, 26(5), 1042-1046. Retrieved from https://doi.org/10.1109/LCOMM.2022.3157161
Conference paper
Hojatian, H., Nadal, J., Frigon, J.-F. & Leduc-Primeau, F. (2022). Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming. Paper presented at the IEEE Global Communications Conference (GLOBECOM 2022), Rio de Janeiro, Brazil (pp. 3833-3838). Retrieved from https://doi.org/10.1109/GLOBECOM48099.2022.10001155
Conference paper
Kern, J., Henwood, S., Mordido, G., Dupraz, E., Aissa-El-Bey, A., Savaria, Y. & Leduc-Primeau, F. (2022). MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators. Paper presented at the IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) - Intelligent Technology in the Post-Pandemic Era, Incheon, South Korea (pp. 62-65). Retrieved from https://doi.org/10.1109/aicas54282.2022.9869978
Journal article
Kern, J., Dupraz, E., Aissa-El-bey, A., Varshney, L.R. & Leduc-Primeau, F. (2022). Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. Sensors, 22(3), 20 pages. Retrieved from https://doi.org/10.3390/s22030853
See all publications (48)

Biography

François Leduc-Primeau received the B.Eng. degree in 2007, the M.Eng. degree in 2010, and a Ph.D. degree in 2016, all in the department of Electrical and Computer Engineering of McGill University (Montreal, Canada). In 2016-17 he was a postdoctoral researcher at IMT Atlantique (Brest, France), and in 2018, he was a postdoctoral researcher at École de Technologie Supérieure (Montreal, Canada) and a lecturer at Université du Québec à Montréal (UQAM). In 2019, he joined the department of Electrical Engineering of Polytechnique Montréal as an Assistant Professor.

His research work is at the crossroads between digital system design and telecommunications, with a focus on improving the energy efficiency of various digital systems used in signal processing and communications.

Education

Supervision at Polytechnique

COMPLETED

  • Ph.D. Thesis (1)

    • El Zarif, N. (2021). A Platform for Enhancing the Vision of Patients Suffering from Age-Related Macular Degeneration Disease (Ph.D. Thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/9974/

  • Master's Thesis (2)

News about François Leduc-Primeau

NEWS | October 14, 2022
Polytechnique Montréal partners with Ericsson Canada and Montréal-based universities to improve 5G sustainability using AI | Read
NEWS | June 22, 2021
Discovery grants: Polytechnique Montréal obtains nearly $3,9 million for research programs | Read