AI and advanced signal processing for a better management of refractory epilepsy
About the presenter:
Elie Bou Assi is a postdoctoral researcher at the epilepsy research laboratory of Dr. Dang K. Nguyen (University of Montreal Hospital Center). His research interests cover: 1) prediction of epileptic seizures using intracranial electroencephalography recordings, 2) detection of epileptic seizures using non-invasive physiological signals and the Internet of Things and 3) epileptic foci localization using quantitative connectivity measures. Dr. Bou Assi holds and IVADO scholarship for his postdoctoral fellowship, and the excellence of his work has earned him one of the three CRCHUM awards of excellence in research (year 2019) and the award of excellence in publication of the Canadian League against Epilepsy (year 2019).
Date and Time
Location
Hosts
Registration
- Date: 29 Jan 2020
- Time: 12:30 PM to 01:30 PM
- All times are (GMT-05:00) Canada/Eastern
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- Université Laval
- Quebec City, Quebec
- Canada G1V 0A6
- Building: Adrien-Pouliot
- Room Number: PLT-1122
Speakers
Dr Elie Bou Assi of CHUM
AI and advanced signal processing for a better management of refractory epilepsy
Biography:
Elie Bou Assi is a postdoctoral researcher at the epilepsy research laboratory of Dr. Dang K. Nguyen (University of Montreal Hospital Center). His research interests cover: 1) prediction of epileptic seizures using intracranial electroencephalography recordings, 2) detection of epileptic seizures using non-invasive physiological signals and the Internet of Things and 3) epileptic foci localization using quantitative connectivity measures. Dr. Bou Assi holds and IVADO scholarship for his postdoctoral fellowship, and the excellence of his work has earned him one of the three CRCHUM awards of excellence in research (year 2019) and the award of excellence in publication of the Canadian League against Epilepsy (year 2019).
Email:
Address:CHUM, , Montreal, Quebec, Canada