Research Axe:
- Science, Technology and Innovation
Academic Department:
Computer ScienceAll media inquiries pertaining to Bishop’s University must be addressed directly to the Communications Office to ensure access to timely and verified information.
Contact: Sonia Patenaude, Communications Manager; media@ubishops.ca
Dr. Rachid Hedjam
Associate Professor
Education: Postdoc, McGill University; PhD, University of Quebec (Ecole de Technolgie Superieure); MSc, University of Montreal; BSc. Engineering, University of Setif, Algeria
rachid.hedjam@ubishops.ca
Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Unsupervised Learning, Data Clustering, Non-negative Matrix Factorization, Remote Sensing, Graph Neural Networks, Continual Learning, Alzheimer’s Disease Detection
Research Project(s):
The research focuses on AI, computer vision, and data science, using machine and deep learning to make sense of complex data. It emphasizes unsupervised learning for image analysis, clustering, and pattern recognition, with real-world applications in remote sensing, digital humanities, and healthcare, including Alzheimer’s disease detection.