Eung-Joo Lee

Eung-Joo Lee is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Arizona, where he also holds affiliations with the Department of Ophthalmology and Vision Science, the BIO5 Institute, and the UA Cancer Center. He serves as an adjunct professor at the University of Nebraska–Lincoln and is a member of the Graduate Faculty. Dr. Lee leads the Vision Systems and Intelligence (VSI) Laboratory and contributes to interdisciplinary research bridging engineering and medicine.

Education:

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

Dr. Lee's research centers on developing computationally efficient and interpretable deep learning models for real-time, low-resource environments, particularly in computer vision and medical imaging. His work addresses perception and decision-making challenges in autonomous and medical systems. He applies cross-disciplinary expertise in engineering and medicine to create lightweight AI solutions.

Although no specific publications are listed in the provided text, his research direction suggests strong engagement in areas such as embedded AI, medical image analysis, and real-time computer vision systems, likely published in top-tier venues in machine learning and biomedical engineering.

Scientific Service and Recognition:

• Associate Editor, Journal of Signal Processing Systems (Springer)
• Editorial Board Member, Scientific Reports (Nature Portfolio)
• Reviewer for IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis, Nature Machine Intelligence, and others
• Active participant in major conferences including NeurIPS, CVPR, MICCAI, AAAI, and SPIE

Dr. Lee advises research through the VSI Laboratory and contributes to academic leadership via service on the Scientific Advisory Committee for the Body and Imaging Center at the University of Arizona. He has served on numerous program committees, organized workshops, and chaired sessions at international conferences, demonstrating growing leadership in the academic community.

He is actively involved in interdisciplinary research collaborations, including past work with Children’s National Hospital and the U.S. Army Research Laboratory, and continues to bridge gaps between engineering and clinical applications.