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Gregory D. Hager

HagerGregGREGORY D. HAGER is the Mandell Bellmore Professor of Computer Science at Johns Hopkins University. Professor Hager received his Bachelor of Arts in mathematics and computer science summa cum laude at Luther College (1983), and his master’s degree (1986) and PhD (1988) from the University of Pennsylvania. He was a Fulbright Fellow at the University of Karlsruhe, and was on the faculty of Yale University prior to joining Johns Hopkins.

Professor Hager joined the Department of Computer Science in 1999 and served as department chair from 2010-2015. He has also served as the deputy director of the National Science Foundation’s Engineering Research Center for Surgical Systems and Technology.

Professor Hager’s research interests include collaborative and vision-based robotics, time-series analysis of image data, and medical applications of image analysis and robotics. He has published over 300 articles and books in these areas. He is also chair of the Computing Community Consortium, a board member of the Computing Research Association, and is a member of the governing board of the International Federation of Robotics Research. In 2014, he was awarded a Hans Fischer Fellowship in the Institute of Advanced Study of the Technical University of Munich where he also holds an appointment in Computer Science. He has served on the editorial boards of the Institute of Electrical and Electronics Engineers (IEEE) Transactions on Robotics, IEEE Pattern Analysis and Machine Intelligence, and International Journal of Computer Vision. He is a fellow of the IEEE for his contributions to Vision-Based Robotics and a Fellow of the Medical Image Computing and Computer Assisted Intervention Society (MICCAI) for his contributions to imaging and his work on the analysis of surgical technical skill.

Professor Hager is the founding CEO of Clear Guide Medical, a medical technology company focused on the creation of guidance systems for ultrasound and other imaging based medical interventions, using visual tracking technology originally developed and patented at Johns Hopkins University.