Adjunct Professor at Centre for Interdisciplinary Research in Music Media and Technology, the Schulich School, McGill U.
Sherbrooke, Quebec, Canada
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Jean Rouat is an adjunct professor and long-time AI researcher specializing in neuromorphic computing and biologically inspired sensory processing, with a career bridging academia and translational engineering across McGill, Université de Montréal and Université de Sherbrooke. With over 30 years in AI and decades leading research groups, he develops unsupervised learning and plasticity rules for spiking neural networks applied to audio, vision and time-series tasks, including real-time audio watermarking and sensory substitution prostheses. He focuses on ultra-low-power, sustainable AI solutions and actively drives technology transfer in Quebec and Canada to reduce the ecological footprint of intelligent systems. His interdisciplinary appointments span neuroscience, music/media technology and quantum/AI institutes, reflecting a rare blend of theoretical rigour and practical impact on human-centered technologies.
9 years of coding experience
Ph.D., Ph.D. at Concordia University
Ph.D., Speech recognition, Auditory modeling, Artificial Intelligence, Cognitive and Statistical Systems, Ph.D., Speech recognition, Auditory modeling, Artificial Intelligence, Cognitive and Statistical Systems at Université de Sherbrooke
Ph.D., Artificial Intelligence, Ph.D., Artificial Intelligence at McGill University
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Jean Rouat - Adjunct Professor at Centre for Interdisciplinary Research in Music Media and Technology, the Schulich School, McGill U.