Scholar
Wassim Bouachir
Google Scholar ID: unlkyc4AAAAJ
Professor & Canada Research Chair, University of Québec - TÉLUQ
Citations & Impact
Citations
816
H-index
13
i10-index
18
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published several journal articles, such as '1D-Convolutional transformer for Parkinson disease diagnosis from gait', 'UAV-Based Computer Vision System for Orchard Apple Tree Detection and Health Assessment', and 'Automatic counting of planting microsites via local visual detection and global count estimation'.
Research Experience
- Founding member of the Data Science Laboratory (DOT-Lab) and researcher at the Centre for Research and Intervention on Suicide (CRISE). Leads the NSERC Discovery research program, focusing on developing novel methods to improve decision-making abilities of intelligent video surveillance systems. Also, as the Canada Research Chair in Artificial Intelligence for Suicide Prevention, he aims to develop new AI methods to enhance the ability to predict suicide.
Education
- Ph.D., Polytechnique Montréal, Computer Engineering; M. Sc., Université de Moncton, Computer Science; B. Sc., Université de Tunis - El Manar; Postdoc, École de Technologie Supérieure.
Background
- Professor of computer science and the Canada Research Chair in artificial intelligence for suicide prevention. He is a founding member of the Data Science Laboratory (DOT-Lab) and a researcher at the Centre for Research and Intervention on Suicide (CRISE). His research focuses on machine learning and computer vision, addressing fundamental problems such as object tracking, activity recognition, and signal classification. In applied research, he is interested in implementing fundamental advancements across various fields, including suicide prevention, physical and mental health, and environmental applications.
Miscellany
- Teaches multiple courses, including the Doctorate in Cognitive Computing, Certificate in Applied Computing, and more.
Co-authors