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François Grondin is a Professor in the Faculty of Engineering at the University of Sherbrooke. He has a robust academic background in Electrical Engineering and Computer Engineering, having received his PhD from the University of Sherbrooke in 2017 after completing his Master's degree there in 2011. His academic journey also includes a Bachelor's degree from McGill University. Prior to his current position, he served as an Assistant Professor at the same university. His research interests primarily focus on advanced deep learning, artificial neural networks, and digital signal processing. He has been involved in various engineering courses and projects that expose students to practical applications of theoretical concepts. Grondin is also associated with the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology, where he was a Postdoctoral Associate. He actively contributes to the academic community through teaching and research, shaping the next generation of engineering professionals.
University of Sherbrooke • Sherbrooke, QC, Canada
University of Sherbrooke • Sherbrooke, QC, Canada
The University of Sherbrooke is primarily a French-language institution; functional French (B2/C1 level) is typically required for most programs unless specified for research-based paths.