معرفی
Dr. Shahryar Rahnamayan is a Full Professor and Chair of the Department of Engineering at Brock University. He holds a PhD in Systems Design Engineering from the University of Waterloo (2007) and has over 22 years of research experience across institutions like the University of Waterloo, Robarts Research Institute, and Ontario Tech University. His research focuses on machine learning, optimization algorithms, and medical image processing, with over 250 publications and 10,700 citations. He directs the Nature Inspired Computational Intelligence (NICI) Lab and co-directs the Kimia Lab for medical image analysis.
Education: PhD (Systems Design Engineering, University of Waterloo), MSc/BSc (Software Engineering).
Research interests include opposition-based computation, evolutionary algorithms, and large-scale optimization. He pioneered the 'Opposition-based Computation' framework, leading to over 800 subsequent papers. His work bridges machine learning and medical applications, particularly in bias mitigation in histopathology datasets and feature selection for high-dimensional data.
He has supervised/co-supervised 75 highly qualified personnel (HQPs), taught 14 courses (e.g., Advanced Optimization, Machine Learning), and holds over 45 awards/honors, including recognition as a top 2% AI researcher globally (2020–2024). His grants span NSERC, MITACS, and other agencies. Current projects address bias reduction in medical AI and multi-objective optimization in engineering systems.
Labs: NICI Lab (Brock University), Kimia Lab (cross-institutional).
