Dr. Jay W. McDaniel
Jay W. McDaniel 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 and Engineering at the University of Oklahoma of Norman, OK, in 2018.
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From 2015 to 2016, he was a Radar Systems Engineer with the Department of Energy's (DOE'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 current research interests include radar system design for defense, commercial, and remote sensing applications; RF/microwave passive component design and integration; RF transceiver co-simulation; and novel fusion techniques for navigation.
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Dr. McDaniel was a recipient of several awards including the NASA Space Grant Fellowship and the prestigious Richard K. Moore Best Master's Thesis Award at the University of Kansas, as well as the First Place Prize at the Graduate Research Competition, the Provost's Best Graduate Teaching Assistant Award, and the Best Graduate Student Award in Research at the University of Oklahoma.
Assistant Professor
School of Electrical and Computer Engineering
Advanced Radar Research Center
University of Oklahoma
3190 Monitor Avenue, Norman, OK 73019
Tel: (405) 325-5072
Ph.D. STUDENTS
Rachel Jarvis
Ph.D. in Electrical Engineering
(Summer 2020 - Present)
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Rachel Jarvis, native of Lincoln, Nebraska, graduated with her B.S. and M.S. in Electrical Engineering from the University of Oklahoma of Norman, OK, in 2020 and 2021, respectively. She is currently pursuing her Ph.D. degree in Electrical and Engineering and is a National Science Foundation Graduate Research Fellowship Program (NSF GRFP) awardee. Ms. Jarvis joined the MMG research team in Fall 2019 as an Undergraduate Research Assistant and is currently a Graduate Research Assistant in the Advanced Radar Research Center. Her research interests include wide-band back-scatter measurements and adaptive clutter suppression techniques for wideband and accurate RCS extraction as well as novel adaptive pulse compression processing techniques for frequency modulated continuous wave (FMCW) waveforms to explore the foundational limitations on modern-day biomedical imaging radars.
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![Russell_Kenney_Head_Shot.jpg](https://static.wixstatic.com/media/31cd40_e7af31a8069b4da6bfbd003b9cde336b~mv2.jpg/v1/crop/x_33,y_0,w_434,h_500/fill/w_69,h_79,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/Russell_Kenney_Head_Shot.jpg)
Russell Kenney
Ph.D. in Electrical Engineering
(Summer 2020 - Present)
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Russell Kenney graduated Summa Cum Laude (4.0 GPA) and received his B.S. in Computer Engineering from the University of Oklahoma of Norman, OK, in 2019, and he received his M.S. in Electrical Engineering from the University of Oklahoma of Norman, OK, in 2020, under the advisement of Dr. McDaniel. He is currently pursuing his Ph.D. in Electrical Engineering under Dr. McDaniel at the University of Oklahoma as a Graduate Research Assistant in the Advanced Radar Research Center. Mr. Kenney's research interests include low SWaP radar architectures for next-generation airborne radar systems, board-integrated and air-suspended microwave filters and components, exploration of motion compensation and system design for W-band SAR, and novel position, navigation, and timing solutions for SAR.
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Brian Sun
Ph.D. in Electrical Engineering
(Fall 2018 - Present)
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Brian Sun received his B.S. in Electrical Engineering from the New Mexico Institute of Mining and Technology of Socorro, NM, in 2014, and his M.S. in Electrical Engineering from the University of Oklahoma of Norman, OK, in 2019, and he received his M.S. in Electrical Engineering from the University of Oklahoma of Norman, OK, in 2016. He is currently pursuing his Ph.D. in Electrical Engineering under the advisement of Dr. McDaniel and Dr. Yeary at the University of Oklahoma as a Graduate Research Assistant in the Advanced Radar Research Center. He is also a software engineer for the Extreme Digital Development Group-Enterprise (EDDGE) Software Engineering Team of the United States Air Force (USAF) at Tinker Air Force Base in Oklahoma City. Mr. Sun's research interests are in the areas of digital signal processing as applied to navigation, novel data fusion techniques, and synthetic aperture radar.
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M.S. STUDENTS
Grant Karber
M.S. in Electrical Engineering
(Summer 2020 - Present)
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Grant Karber graduated with Summa Cum Laude honors and received his B.S. in Electrical Engineering from the University of Oklahoma of Norman, OK, in 2020. He is currently pursuing his M.S. in Electrical Engineering under the advisement of Dr. Jay McDaniel at the Advanced Radar Research Center. Mr. Karber's current research interests include air-suspended analog filter design, defected ground structures for higher order mode suppression, and radar applications.
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![Jon Headshot.jpg](https://static.wixstatic.com/media/31cd40_c52ea92f79b84173a8a34b7d503d5f43~mv2.jpg/v1/crop/x_0,y_89,w_461,h_532/fill/w_68,h_79,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/Jon%20Headshot.jpg)
Jonathan Knowles
B.S. in Electrical Engineering
(Spring 2019 - Present)
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Jonathan Knowles is a senior in Electrical Engineering at The University of Oklahoma with an intended graduation date of December 2020. Jonathan plans to continue his education and pursue a M.S. in Electrical Engineering at OU under the advisement of Dr. Jay McDaniel at the Advanced Radar Research Center. Mr. Knowles is a co-founder of the Students for the Exploration and Discovery of Space (SEDS) OU and currently serves as the secretary. His research interests include dynamically tunable lossy filters, RF/microwave component design and integration, adaptive digital pre-distortion techniques, antenna array design, and digital beam-forming.
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