Image and video compression for wireless channels, progressive image coding, compression of binary images, JBIG-2, image enhancement, image classification and recognition, image quality evaluation, video error concealment, parameter estimation and noise reduction for fluorescence imaging of cardiac potentials, joint source-channel coding, wavelet coding, vector quantization, diagnostic accuracy studies for medical images, low-memory image coding.

Pamela C. Cosman received her B.S. in Electrical Engineering with Honors from the California Institute of Technology in 1987. She received her M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 1989 and 1993, respectively. In the academic year 1993- 1994, she was a postdoctoral fellow and lecturer at Stanford University, teaching in the area of digital image processing. In the academic year 1994-1995 she was a visiting assistant professor at the University of Minnesota. Since July of 1995 she has been with the Electrical and Computer Engineering Department at the University of California, San Diego, where she is affiliated with the Center for Wireless Communications.

Dr. Cosman's research interests are in data compression, image and video processing, and machine vision. Her awards include a National Science Foundation Graduate Fellowship, a National Science Foundation Postdoctoral Fellowship, a Powell Faculty Fellowship, and a National Science Foundation CAREER Award. She is a member of Tau Beta Pi and Sigma Xi, and a Senior Member of IEEE. She is currently a Senior Editor of the IEEE Journal on Selected Areas in Communications, and an Associate Editor of the IEEE Signal Processing Letters.