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Jean ROUAT

Jean ROUAT, Ph.D.

Full professor

Département de génie électrique et de génie informatique, Faculté de génie, Université de Sherbrooke, Jean.Rouat[at]Usherbrooke.ca

Adjunct Professor

Département de sciences biologiques, Faculté des arts et des sciences, Université de Montréal, Jean.Rouat[at]UMontreal.ca


Responsabilities and affiliations

Director of the European Research Consortium CHIST-ERA IGLU for the design of an autonomous intelligent agent that learns through interaction : on Interactive Grounded Language Understanding.

Full Member of CIRMMT Centre for Interdisciplinary Research in Music Media and Technology McGill Schulich School of Music, Faculté de musique de McGill Univ. : Sensory substitution (vision to audition and audition to vision).

Associate researcher, Institut National of Optic INO : Real time acquisition system and objects following with neural networks.

Member of the IEEE standard working group Ontological Standard for Ethically Driven Robotics and Automation Systems.

Founder of the inter-university research group in Computational Neurosciences and Intelligent Signal Processing NECOTIS

Member of international and scientific associations as IEEE, Int. Neural Network Society, Society for Neuroscience, Acoustical Society of America, Int. Speech Comm. Ass., etc.

Research Expert

Areae of research

Active Projects

These projects take part in the inter-university Computational Neurosciences and Intelligent Signal Processing research group (NECOTIS) in collaboration with international partners.

List of publications

Detailled list and downloads

Research

The research is in the intersection of Artificial Intelligence, Engineering and Neuroscience. We contribute to the research and development in the 3 areas. We conduct research on autonomous intelligent agents that learn in an unsupervised way in interaction with humans. We study new representations and features of signals (acoustical or visual) for real-time audio watermarking and protection, for multimodal scene analysis (object recognition and semantics of a scene) and recognition. We develop sources and interference separation systems with applications to robotics. We develop noninvasive intelligent prostheses for audition and vision. NECOTIS has access to up-to-date machine learning computing facilities and has an electrophysiological research lab for measures in the brain.

Contacts

Université de Sherbrooke, Faculté de génie, Département de génie électrique et de génie informatique
2500, boul. de l'Université
Sherbrooke, Québec   Canada
J1K 2R1
courriel: jean.rouat[at]usherbrooke.ca ou jean.rouat[at]umontreal.ca