News Release

Jay McDaniel receives International Outstanding Young Engineer Award

Grant and Award Announcement

University of Oklahoma

Jay McDaniel


Jay W. McDaniel will receive the 2023 IEEE Instrumentation and Measurement Society Outstanding Young Engineer Award, becoming the first U.S. scientist to have received the award since 216.

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Credit: Provided by Jay McDaniel, University of Oklahoma.

Jay W. McDaniel, assistant professor in the School of Electrical and Computer Engineering at the University of Oklahoma, will receive the 2023 IEEE Instrumentation and Measurement Society Outstanding Young Engineer Award during the society’s 2024 conference in Glasgow, Scotland. McDaniel is the first American scientist to have received the award since 2016 and only the second U.S. recipient within the past decade.

McDaniel was selected “For outstanding contributions to the advancement of wideband radar cross section measurements in cluttered environments.”

The IEEE Instrumentation and Measurement Society Outstanding Young Engineer Award recognizes a distinguished society member, uniquely recognizing the individual responsible for the success of the cited achievement during their early career.

McDaniel is also an affiliate faculty in OU’s Advanced Radar Research Center and an aerospace and defense faculty fellow for the OU Office of the Vice President for Research and Partnerships. He is the recipient of a 2023 Faculty Early Career Development Program, known as a CAREER award, from the National Science Foundation. He is an active member of the IEEE Electronics Packaging Society, the IEEE Microwave Theory and Techniques Society, and the IEEE Instrumentation and Measurement Society, from which he receives this award.

McDaniel joined the University of Oklahoma as an assistant professor in 2018. His current research interests include all-digital phased array radar system design for defense 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.

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