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Michael S. Brown is a Professor in the Department of Electrical Engineering and Computer Science at York University. He holds a Tier 1 Canada Research Chair in Computer Vision. His research aims to improve the understanding of the physical world from camera images by investigating image formation models that describe incoming light, specifically focusing on how physical scene irradiance is converted into camera sensor responses under different imaging scenarios. Moreover, he is designing novel in-camera imaging pipelines that produce outputs suitable for photographic and scientific tasks. His research is closely aligned with York University’s $33.3 million Canada Research Excellence Fund program, Vision: Science Applications (VISTA), which emphasizes biological and computational computer vision. Dr. Brown earned his undergraduate and PhD degrees in Computer Science from the University of Kentucky in 1995 and 2001, respectively. He has over 13 years of academic experience in Asia, having held faculty positions at the Hong Kong University of Science and Technology, Nanyang Technological University in Singapore, and the National University of Singapore. His research interests encompass computer vision, image processing, and computer graphics with a particular emphasis on physics-based models for image enhancement and restoration. He regularly serves on senior program committees for major computer vision conferences such as CVPR, ICCV, and ECCV, and is currently an associate editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and the International Journal of Computer Vision (IJCV).
Department of Liberal Arts & Professional Studies graduate programs generally follow the Faculty of Graduate Studies (FGS) B+ minimum requirement.