Jerry L. Prince: Brief Biography
Jerry L. Prince received the B.S. degree from the University of Connecticut in 1979 and the S.M., E.E., and Ph.D. degrees in 1982, 1986, and 1988, respectively, from the Massachusetts Institute of Technology , all in electrical engineering and computer science.
From 1982 to 1983 he was employed at the Brigham and Women's Hospital in Boston, MA, where he developed instrumentation and reconstruction algorithms for ultrasonic imaging in medicine. From 1983 to 1988 he held both teaching and research assistantships at the Massachusetts Institute of Technology, where he conducted research on geometric reconstruction methods in computed tomography. In 1988 he became a member of the technical staff at The Analytic Sciences Corporation (TASC) in Reading, MA where he contributed to the design of an automated vision system for synthetic aperture radar imaging. He joined the faculty at the Johns Hopkins University in 1989, where he is currently the William B. Kouwenhoven Professor of Electrical and Computer Engineering. He holds joint appointments in the Departments of Radiology and Biomedical Engineering and a secondary appointment in Applied Mathematics and Statistics. He is also Associate Director for Research of the Engineering Research Center for Computer Integrated Surgical Systems and Technology. His current research interests are in image processing and computer vision with application to medical imaging.
Dr. Prince is a Fellow of the IEEE and a member of the Sigma Xi professional society and Tau Beta Pi, Eta Kappa Nu, and Phi Kappa Phi honor societies. He is also a recipient of the 1993 National Science Foundation Presidential Faculty Fellows Award and was also honored as Maryland's 1997 Outstanding Young Engineer. He is a former Associate Editor of IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging, and former member of the IEEE Signal Processing Society Image and Multidimensional Signal Processing Technical Committee. He is currently on the Editorial Board of Medical Image Analysis.