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Michael S. Brown is a Professor at York University in the Department of Electrical Engineering & Computer Science, Lassonde School of Engineering, and holds a Tier 1 Canada Research Chair in Computer Vision. His research aims to improve the understanding of the physical world through camera images by investigating image formation models that describe how incoming light and physical scene irradiance are translated into camera sensor responses. He designs novel in-camera imaging pipelines to generate image outputs suitable for both photographic and scientific tasks. His program is closely aligned with York University’s $33.3 million Canada Research Excellence Fund initiative, Vision: Science Applications (VISTA), which focuses on biological and computational computer vision. Dr. Brown has 13 years of academic experience in Asia, previously holding faculty positions at Hong Kong University of Science and Technology, Nanyang Technological University, and the National University of Singapore. His research interests encompass computer vision, image processing, and computer graphics with an 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.