Yongyi Yang

Yongyi Yang is the Harris Perlstein Professor of Electrical and Computer Engineering and Professor of Biomedical Engineering at Illinois Institute of Technology (IIT), part of the Armour College of Engineering. He holds dual roles in both departments and is a Fellow of IEEE and AIMBE. His research focuses on medical imaging, machine learning, and image processing, with over 300 publications.

Education: Ph.D. (1994), M.S. (1992), and M.S.E.E. (1988) from IIT, and B.S.E.E. (1985) from Northern Jiaotong University, Beijing.

Research interests include tomographic image reconstruction, computer-aided diagnosis (CAD), and medical imaging technologies. Current projects involve cardiac and pediatric kidney imaging, breast cancer detection in mammography, and brain atlas construction. He has served as an editor for multiple IEEE journals and on NIH and NSF review panels.

Key contributions include advancing SPECT reconstruction techniques, developing machine learning models for microcalcification detection, and authoring the textbook Vector Space Projections (1998). Recent work leverages deep learning for medical image analysis, including context-sensitive detection models and respiratory motion correction in SPECT.

Awards include the IEEE Fellow (2021) and AIMBE Fellow (2018), alongside recognition for student paper awards and impactful publications. His research bridges applied mathematics, signal processing, and medical applications, with a focus on improving diagnostic accuracy and reducing radiation exposure in imaging.