J. Shen

Jackie Shen received the Ph.D. degree in applied mathematics from the Massachusetts Institute of Technology in 1998, and the B.S. degree from the University of Science and Technology of China (USTC) in 1994. He was a Computational and Applied Mathematics (CAM) Assistant Professor at University of California, Los Angeles (UCLA), from 1998 to 2000. He is currently an Assistant Professor of applied mathematics at the University of Minnesota, Minn, USA. His current research interests include image, signal, and information processing, vision modeling and computation, as well as multiscale and stochastic modeling in medical and biological sciences. His new book Image Processing and Analysis—variational, PDE, wavelets, and stochastic methods, coauthored with Professor Tony F. Chan (Dean of Physical Sciences, UCLA), has been published by the SIAM (Society for Industrial and Applied Mathematics) Publisher in September 2005.

Biography Updated on 10 August 2007

Articles in Scholarly Journals [Incomplete List]

  1. A Stochastic-Variational Model for Soft Mumford-Shah Segmentation
    International Journal of Biomedical Imaging, vol. 2006, Article ID 92329, 14 pages, 2006