معرفی
Dr. Dong Hye Ye is an Assistant Professor of Computer Science at Georgia State University, specializing in medical image processing through machine learning. He holds a B.S. from Seoul National University, an M.S. from Georgia Institute of Technology, and a Ph.D. in Bioengineering from the University of Pennsylvania. His research focuses on advancing computational imaging techniques for medical applications such as brain/cardiac MRI analysis, CT reconstruction, and high-throughput microscopy. He is affiliated with the Department of Computer Science at Georgia State University's 55 Park Place campus on the 18th floor.
Education:
- Bachelor of Science in Electrical and Computer Engineering, Seoul National University (2007)
- Master of Science in Electrical and Computer Engineering, Georgia Institute of Technology (2008)
- Doctor of Philosophy in Bioengineering, University of Pennsylvania (2013)
Research Interests:
Dr. Ye’s work integrates deep learning and computational imaging to address challenges in medical diagnostics. His key areas include generative adversarial networks for data augmentation, cross-modal fusion of imaging and genomic data for neuropsychiatric disorders, and weakly supervised learning for spatiotemporal brain network analysis. His recent projects emphasize real-time intraoperative tumor margin assessment via deep UV fluorescence imaging and physics-guided neural networks for clinical imaging artifacts reduction.
Publications:
His 2024-2025 works highlight advancements in multimodal medical imaging, including transformer-based frameworks for retinal and brain imaging analysis, and AI-driven approaches for disease classification. Notable trends include integration of clinical context with visual data, physics-informed machine learning, and dynamic sampling strategies for high-throughput microscopy.
Labs & Teams:
While no specific lab name is mentioned, his interdisciplinary work suggests collaboration with biomedical imaging groups and participation in initiatives like the NIH Human Biomolecular Atlas Program (HuBMAP).
