Dr. Brian L. Evans is the Engineering Foundation Professor of Electrical and Computer Engineering at The University of Texas at Austin.
He earned his B.S.E.E.C.S. (1987) degree from the Rose-Hulman Institute of Technology, and his M.S.E.E. (1988) and Ph.D.E.E. (1993) degrees from the Georgia Institute of Technology. From 1993 to 1996, he was a post-doctoral researcher in electronic design automation at the University of California, Berkeley. In 1996, he joined the faculty at UT Austin. Prof. Evans’ research and teaching efforts bridge the gap between signal processing theory and embedded real-time implementation in the application spaces of digital communications and digital image/video processing. His current research efforts include power-efficient design for next-generation cellular communication systems, interference mitigation for highly reliable smart grid communication systems, automated visual quality assessment for synthetic scenes, and design automation tools for distributed embedded systems.
Prof. Evans is an 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.
Prof. Evans has won several paper awards. In 2012, he received a Top 10% Paper Award at the IEEE Int. Workshop on Multimedia Signal Processing for his algorithms to compensate for hand shake/motion when a smart phone is recording video. In 2013, he received the Best Paper Award at the IEEE Int. Symp. on Power Line Communications and Its Applications for his algorithms to improve reliability of smart grid communications. In 2015, he received a Top 10% Paper Award at the IEEE Int. Conf. on Image Processing for his algorithms to assess visual quality in synthetic scenes generated by computer graphics.
Prof. Evans transfers research breakthroughs to the public through papers, books, and software releases. He has published 239 peer-reviewed journal/conference papers and 3 books, which have an H index impact rating of 39. He has graduated 26 PhD students, with 4 in academia, 6 in research labs, and 16 in business units of companies. Through students, publications, and software releases, his research has had significant impact on Freescale, HP, Intel, National Instruments, Qualcomm, Schlumberger, Texas Instruments, and Xerox, among other companies
Prof. Evans has won several teaching awards. In 2008, he received the Gordon Lepley IV Memorial Teaching Award, which is the sole teaching award decided by the ECE faculty. This award was given to recognize Prof. Evans for his excellence in undergraduate teaching and his extensive service in undergraduate ECE curriculum reform. In 2011, he received the Texas Exes Teaching Award. Eight undergraduate students from his upper division course Real-time Digital Signal Processing Laboratory and lower division course Linear Systems and Signals nominated him for the award. The students cited Prof. Evans’ concern for the students in his classes, including helping them prepare for questions related to his courses that might come up during on-campus and on-site interviews. In 2012, he received the Best ECE Professor Award from the HKN/IEEE Student Chapter at UT Austin. HKN is the ECE Honors Society.