Sevgi Z. Gurbuz (S’01–M’10–SM’17) received the B.S. degree in electrical engineering with minor in mechanical engineering and the M.Eng. degree in electrical engineering and computer science from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 1998 and 2000, respectively, and the Ph.D. degree in electrical and computer engineering from Georgia Institute of Technology, Atlanta, GA, USA, in 2009. From February 2000 to January 2004, she worked as a Radar Signal Processing Research Engineer with the U.S. Air Force Research Laboratory, Sensors Directorate, Rome, NY, USA. Since 2017, she has been an Assistant Professor in the University of Alabama at Tuscaloosa, Department of Electrical and Computer Engineering.
Dr. Gurbuz's main focus of research lies in the advancement of RF-enabled Cyber-Physical Human Systems (CPHS), radar signal processing and machine learning algorithms to address the challenges of robust, accurate human micro-Doppler signature analysis, automatic target recognition (ATR) and control of CPHS for automotive, health, human computer-interaction, and defense applications.  She has pioneered radar-based American Sign Language (ASL) recognition, for which she was awarded a patent in 2022, and is developing novel, interactive RF sensing paradigms built upon physics-aware machine learning and fully-adaptive (cognitive) radar that provide for unique AI/ML solutions to radar perception problems. Dr. Gurbuz is a recipient of the 2022 American Association of University Women Research Publication Grant in Medicine and Biology, the 2019 IEEE Harry Rowe Mimno Award, 2020 SPIE Rising Researcher Award, EU Marie Curie Research Fellowship, and the 2010 IEEE Radar Conference Best Student Paper Award.