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Electrical and Computer Engineering

Radar Fueled by Deep Learning Algorithms

Short Bio : Youngwook Kim received his BS degree in Electrical Engineering at Seoul National University, Korea, in 2003. He received an M.S. and Ph.D. degree in Electrical and Computer Engineering at the University of Texas at Austin, USA in 2005 and 2008 respectively. He joined California State University at Fresno in 2008 and was early promoted to professor in 2018. He also teaches at the School of Engineering at the University of California at Merced as a visiting professor. His research interests are in the area of radar signal processing, antenna design and RF electronics. His primary topic of research lies in radar signal processing with machine learning algorithms. In particular, his expertise is the human motion analysis using an array of Deep learning algorithms. Other topics of interest include wireless power transfer, development of fast algorithms for broadband antenna design, and equivalent-circuit modeling of broadband antennas. He is a recipient of the Provost's award in research excellence, Claude Laval Jr. Award, the LCOE outstanding research award, the Provost's New Faculty Award from the California State University, the A.D. Hutchison fellowship from the University of Texas at Austin, and the National IT Fellowship from the Ministry of Information and Communication, Korea. He has published more than 80 technical papers and holds two patents.

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