Brian Evans

Brian Evans is the Engineering Foundation Professor of Electrical and Computer Engineering in the Chandra Department of Electrical and Computer Engineering at the University of Texas at Austin. He earned a B.S. in Electrical Engineering and Computer Science from the Rose-Hulman Institute of Technology in 1987, an M.S. in Electrical Engineering from the Georgia Institute of Technology in 1988, and a Ph.D. in Electrical Engineering from the Georgia Institute of Technology in 1993. Following his doctorate, Evans served as a post-doctoral researcher at the University of California, Berkeley from 1993 to 1996. He joined the University of Texas at Austin in 1996 as an Assistant Professor, was promoted to Associate Professor in 2000 and to Professor in 2005, and has held the Engineering Foundation Professorship since 2010. Evans is also a Professor at the Applied Research Laboratories. His extensive service record includes chairing the Faculty Council as Faculty Senate President in 2019-2020, where he coordinated university-wide responses to the COVID-19 pandemic, racial justice, gender equity, compensation issues, and mental health access. He chaired the Faculty Committee of Counsel on Academic Freedom and Responsibility for six years over an 11-year tenure, investigating 48 faculty appeals and influencing evaluation processes. Evans received the 2021 University of Texas at Austin Civitatis Award for meritorious service, was elevated to IEEE Fellow in 2009 for contributions to multicarrier communications and image display, and earned the 1997 National Science Foundation CAREER Award. He has garnered multiple teaching honors, including the Texas Exes Teaching Award in 2011, ECE Teaching Excellence Award in 2017-2018, and Outstanding ECE Professor Award in 2019. Evans has served as Associate Editor for IEEE Transactions on Image Processing (1998-2002, 2007-2009) and IEEE Transactions on Signal Processing (2005-2008), and held roles such as General Chair for the 2015 IEEE International Symposium on Power Line Communications.

Evans' research specializes in signal processing and machine learning to enhance connection speeds and reliability in communication systems, with current focus on 5G/6G cellular systems over millimeter wave bands, mixed analog/digital basestation architectures for multi-antenna systems, and machine learning for band switching, basestation coordination, and network fault remediation. Prior contributions include resource allocation in multiuser OFDM systems, DSL transceiver equalization, wireless interference mitigation, image hashing, automated image quality assessment, visual quality improvement in displays, and artifact removal in smartphone videos. He leads efforts in the 6G@UT Research Center and Wireless Networking and Communications Group. Evans has authored over 270 refereed publications, including highly influential papers such as "Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints" (IEEE Transactions on Wireless Communications, 2005), "Image quality assessment based on a degradation model" (IEEE Transactions on Image Processing, 2000), "Deep reinforcement learning for 5G networks: Joint beamforming, power control, and interference coordination" (IEEE Transactions on Communications, 2020), "Optimal Downlink OFDMA Resource Allocation with Linear Complexity to Maximize Ergodic Rates" (IEEE Transactions on Wireless Communications, 2008), and "Equalization for Discrete Multitone Receivers To Maximize Bit Rate" (IEEE Transactions on Signal Processing, 2001). He has graduated 31 Ph.D. students and 13 M.S. students, with best paper and top 10% paper awards at IEEE conferences in image processing, powerline communications, and multimedia signal processing.

Professional Email: bevans@ece.utexas.edu