Jay W. McDaniel (S’12–M’18) received the B.S. degree in electrical engineering from Kansas State University of Manhattan, KS, in 2013, the M.S. degree in electrical engineering from the University of Kansas of Lawrence, KS, in 2015, and the Ph.D. degree in electrical engineering at the University of Oklahoma of Norman, OK, in 2018. His research interests include all-digital phased array radar system design for defense, commercial, and remote sensing applications; RF/microwave passive component design and integration; radar cross section measurement techniques in cluttered environments; multi-sensor fusion techniques for position, navigation, and timing applications; and distributed coherent radar sensor networks.
From 2015 to 2016, he was a Radar Systems Engineer with the Department of Energy’s Kansas City National Security Campus (KCNSC), where he was also served as an RF/Microwave expert for several plant-driven research and development (PDRD) projects. In August 2018, he joined the School of Electrical and Computer Engineering at the University of Oklahoma as an Assistant Professor and conducts research out of the Advanced Radar Research Center’s (ARRC’s) Radar Innovations Laboratory (RIL). His research has been supported by Sandia National Laboratories (SNL), the National Security Campus (NSC), Office of Naval Research (ONR), the National Science Foundation (NSF), and industry partners.
Dr. McDaniel is currently the chair of the instrumentation and measurement societies graduate fellowship award committee and the inaugural young affiliate member of the microwave theory and techniques technical committee TC-4 on “Microwave Passive Components and Transmission Line Structures” and TC-24 on “Microwave/mm-wave Radar, Sensing, and Array Systems.” He is a recipient of several awards, including the meritorious Richard K. Moore Best Master’s Thesis Award at the University of Kansas in 2015, the Office of the Vice President for Research and Partnerships Award for Excellence in Research Grants at the University of Oklahoma in 2021, and the prestigious National Science Foundation (NSF) CAREER award in 2022.