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François Leduc-Primeau

I am an Assistant Professor in the Electrical Engineering department of Polytechnique Montreal. I obtained my M. Eng. and Ph. D. degree in Computer Engineering from McGill University, respectively in 2010 and 2016.

My main research interest is the design and analysis of algorithms for hardware implementations, and particularly, novel approaches for improving energy efficiency.

I have extensive expertise in the analysis and implementation of error-correction codes (and especially LDPC codes), and telecommunication systems in general. I am also interested in machine learning algorithms, in their implementation on low-power embedded systems, and in the role they can play in improving telecommunication systems.

Graduate Positions

I am looking for outstanding students/researchers at all levels (Master's, Ph.D., Postdoc) interested in carrying out research in the context of one of my ongoing projects. A successful candidate would master at least two of the following areas: telecommunications, machine learning, digital circuits. Solid programming skills are also required.

To apply, send me an e-mail with your CV and describe the general topic you are interested in, and why your background prepares you to work on that topic.


  • (1/2019) Our paper on training deep networks to tolerate memory faults during inference has been accepted at ISCAS 2019.
  • (12/2018) I presented at the Turbo Symposium in Hong Kong the first paper published in the EF-FECtive project. We are proposing a method to reduce latency by 3x in highly-parallel LDPC decoders.
  • (7/2017) The ANR project “EF-FECtive” that I proposed with Elsa Dupraz was accepted!

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en/start.txt · Last modified: 2019/02/28 16:22 by francoislp