Dr. Brian L. Evans is a Professor of Electrical and Computer Engineering at The University of Texas at Austin. He joined UT Austin in fall 1996. From 1993 to 1996, he was a post-doctoral research at the University of California, Berkeley, with the Ptolemy Project in design automation for embedded digital systems. His M.S.E.E. (1988) and Ph.D.E.E. (1993) degrees are from the Georgia Institute of Technology, and his B.S.E.E.C.S. (1987) degree is from the Rose-Hulman Institute of Technology.
Prof. Evans was elevated to IEEE Fellow "for contributions to multicarrier communications and image display". In multicarrier communications, his group developed the first linear complexity algorithm that allocates resources to optimize bit rates in multiuser OFDM systems (for cellular and WiMax) and is realizable in fixed-point hardware/software. His group also developed the first ADSL equalizer training method that maximizes a measure of bit rate and is realizable in real-time fixed-point software. In image display, his group's primary contribution is in the design, analysis, and quality assessment of image halftoning by error diffusion for real-time processing by printer pipelines. Other research efforts have included smart image acquisition for digital still cameras, perceptual image hashing for multimedia databases and 3-D beamforming for sonar imaging systems. Prof. Evans has published over 180 refereed conference and journal papers.
Dr. Evans is the primary architect of the Signals and Systems Pack for Mathematica, which was on the market from October 1995 to June 2008. He was a key contributor to UC Berkeley's Ptolemy Classic electronic design automation environment for embedded systems, which has been successfully commercialized by Agilent and Cadence. He developed and currently teaches two graduate courses, Multidimensional Digital Signal Processing and Embedded Software Systems, and two undergraduate courses, Real-Time Digital Signal Processing Laboratory and Linear Systems and Signals, in order to help train undergraduate and graduate students in the theory, algorithms, design, and implementation of signal and image processing systems.
He is an Associate Editor for the IEEE Transactions on Image Processing, a member of the Design and Implementation of Signal Processing Systems Technical Committee of the IEEE Signal Processing Society, and a Fellow of IEEE. He is the recipient of a 1997 US National Science Foundation CAREER Award.