Margrit Betke

Co-Director, Artificial Intelligence Research (AIR)
Department Director of the MS in AI Program
Professor, Computer Science, CAS

Education
Ph.D., Massachusetts Institute of Technology
Office
CDS 827
Email
betke@bu.edu
Phone
617-353-6412

Margrit Betke is a Professor of Computer Science at Boston University, where she co-leads the Artificial Intelligence Research (AIR) initiative and the Image and Video Computing Research Group and is the Department’s Director of the “MS in AI” academic program. Her focus is integrative research in AI, computer vision, human computer interaction, medical image analysis, and application of machine learning. She has developed 2D and 3D methods for detection, segmentation, registration, pose estimation, and tracking of people, bats and birds, vehicles, gestures, live cells, tumors, etc, in visible-light, infrared, x-ray, magnetic resonance, and ultrasound data. She has published over 200 original research papers, as well as research datasets and software. She earned her Ph.D. degree in Computer Science and Electrical Engineering at the Massachusetts Institute of Technology (MIT) in 1995. Prof. Betke received the National Science Foundation (NSF) Faculty Early Career Development Award in 2001 for developing “Video-based Interfaces for People with Severe Disabilities.” She co-invented the “Camera Mouse,” an assistive technology used worldwide by children and adults with severe motion impairments. While she was a Research Scientist at the Massachusetts General Hospital and Harvard Medical School, she co-developed the first patented algorithms for detecting and measuring pulmonary nodule growth in computed tomography. She was one of two academic honorees of the “Top 10 Women to Watch in New England Award” by Mass High Tech in 2005. She is a Senior Member of the ACM and IEEE and an Associate Editor of the journal IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). She has been Principal Investigator of large NSF-funded research projects, for example, on developing intelligent tracking systems that reason about the group behavior and on designing analytic methods for studying visual and textual public information, including news and social media. She advised the research projects of many undergraduate and graduate students, and, under her guidance, fourteen students completed their PhD dissertations.

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