Eung-Joo Lee
Eung-Joo Lee is an assistant professor in the Department of Electrical and Computer 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.
Before working at 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.
Degrees
- 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
Teaching Interests
Signal and image/video processing, medical imaging, machine learning
Research Interests
Computer vision, signal and image processing, medical image analysis, machine learning, deep learning, embedded systems