Princeton University

School of Engineering & Applied Science

Rich Radke
Graduate Student
Graduation Year: 
Thesis Title: 
Estimation Problems in Digital Video
Sanjeev Kulkarni and Peter Ramadge
Current Employer: 
Rensselaer Polytechnic Institute

Rich Radke joined the Electrical, Computer, and Systems Engineering department at Rensselaer Polytechnic Institute as an Assistant Professor in August, 2001. He has a dual B.A. degree in math and computational and applied math from Rice University, an M.A. in computational and applied math from Rice University, and M.A. and Ph.D. degrees in electrical engineering from Princeton University. He was an intern at the Mathworks, developing numerical linear algebra and signal processing routines. During my Ph.D. he investigated several estimation problems in digital video, including the efficient estimation of projective transformations and the synthesis of photorealistic "virtual video", in collaboration with IBM's Tokyo Research Laboratory.
His current research interests include deformable registration and segmentation of three- and four-dimensional biomedical volumes, machine learning for radiotherapy applications, distributed computer vision problems on large camera networks, and modeling 3D environments with visual and range imagery. At Rensselaer, he is associated with the NSF ERC for Subsurface Sensing and Imaging Systems (CenSSIS) as well as the Center for Next Generation Video (CNGV) and the Center for Pervasive Computing and Networking (CPCN). He received an NSF CAREER award in March 2003.