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Eungjoo Lee

Assistant Professor · School of Electrical

University of Arizona · United States
Computer visionsignal and image processingmedical image analysismachine learningdeep learningembedded systems

About

Eungjoo Lee is an assistant professor in the School of Electrical, Computing, and Software Engineering. His primary research focuses on developing deep learning algorithms that utilize computationally efficient models designed specifically for embedded computer vision systems and medical imaging applications. Prior to joining the University of Arizona, he was a postdoctoral research fellow at MGH/Harvard Medical School. He earned his PhD in electrical and computer engineering at the University of Maryland, College Park. During his doctoral studies, he engaged in a research internship at the U.S. Army Research Laboratory.

Education

  • PhD Electrical and Computer Engineering, University of Maryland, College Park, 2021
  • MS Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea, 2015
  • BS Electrical Engineering, University of Texas at Dallas, 2013

Data verified 9/6/2026Source

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