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Timothy Cootes is a Professor at the University of Manchester specializing in Medical Image Analysis and Computer Vision. He completed his undergraduate degree in Mathematics and Physics at Exeter University and later earned his PhD in Civil Engineering at Sheffield City Polytechnic, where he focused on storm sewer overflow research. Joined the University of Manchester in 1991, he began his career as a Research Associate under Professor Chris Taylor, modeling industrial components. Over the years, he was awarded the SERC Postgraduate Fellowship in 1993 and the EPSRC Advanced Fellowship in 1995. Appointed as a Lecturer in June 2001, he progressed to Senior Lecturer in October 2002, then became a Reader in Computer Vision in August 2005, and finally a Professorial Research Fellow in August 2006. His research focuses on constructing statistical models for shape and appearance of objects in images, with practical applications in both industrial and medical domains, including the interpretation of facial images. He runs an MSc module on Mathematical Computing in Medical Imaging and collaborates with various researchers in related fields. His work also contributes to the UN Sustainable Development Goals, highlighting the link between advanced research methodologies and societal impacts.
University of Manchester • Manchester, GB
Leading research in Medical Image Analysis and developing statistical models.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.