报告摘要: Enrollments in computer science departments are changing dramatically in American universities, in part because computer science is perceived differently by today's students. These changes are both in numbers of students and in the interests of students, in particular that current students have broad interests across interdisciplinary boundaries. MIT is engaged in a comprehensive redesign of its curriculum, partly in response to changes aimed at increasing interest in computer science as a profession and in providing better connections between computer science and related fields: life sciences, finance, management, and communications. These proposed changes include greater hands-on experiences, fundamental grounding in practical applications, including industrial experiences and exposure to practicing engineers. The school also hopes to offer opportunities for global experiences and the exploration of the role of computer science in other fields.
报告人简介: Professor Eric Grimson is the Bernard Gordon Professor of Medical Engineering in MIT's Department of Electrical Engineering and Computer Science. He is a member of MIT's Computer Science and Artificial Intelligence Laboratory, and Head of its Computer Vision Group. He also holds a joint appointment as a Lecturer on Radiology at Harvard Medical School and at Brigham and Women's Hospital. He received a BS in Mathematics and Physics from the University of Regina in 1975 and a PhD in Mathematics from MIT in 1980.
Professor Grimson is currently the Head of the Department of Electrical Engineering and Computer Science at MIT. Prior to this position, he has served as Associate Department Head for Computer Science and as Education Officer for the Department.
Professor Grimson is a Fellow of the IEEE and of AAAI, and a recipient of the Bose Award for Undergraduate Teaching at MIT.
Professor Grimson has research interests in computer vision and in medical image analysis. Since 1975, he and his research group have pioneered state of the art methods for activity and behavior recognition, object and person recognition, image database indexing, site modeling, stereo vision, and many other areas of computer vision.
Since the early 1990's, his group has been applying vision techniques in medicine for image-guided surgery, disease analysis, and computational anatomy. |
