Hui Ding is an Associate Professor and Master’s Supervisor in the College of Information Engineering at Capital Normal University. She received her Ph.D. in 2006 from Beijing Institute of Technology and completed postdoctoral research at the Department of Electronic Engineering, Tsinghua University. From 2011 to 2012, she was a visiting scholar at the Intelligent Systems Laboratory (ISL) at Wright State University.
Her research interests lie in Medical Image Analysis, Image and Video Processing, and Computer Vision. With nearly two decades of experience in image processing and computer vision, she has authored over 60 peer-reviewed publications in leading journals and conferences such as ICCV, ECAI, ICIP, Applied Soft Computing, and Multimedia Systems. She holds more than ten granted invention patents and has contributed to three academic monographs.
Dr. Ding serves as a board member of the Beijing Association for Artificial Intelligence and is an active member of several academic societies, including IEEE, AEPIA, and CSIG. She currently serves on the editorial board of Technology of IoT & AI and is a reviewer for numerous journals, including Neurocomputing, iScience, Engineering Applications of Artificial Intelligence, and Acta Automatica Sinica.
Her ongoing research integrates domain knowledge from medicine, signal processing, and artificial intelligence, contributing to the development of robust and interpretable models for complex visual analysis tasks.
Hui Ding is an Associate Professor and Master’s Supervisor in the College of Information Engineering at Capital Normal University. She received her Ph.D. in 2006 from Beijing Institute of Technology and completed postdoctoral research at the Department of Electronic Engineering, Tsinghua University. From 2011 to 2012, she was a visiting scholar at the Intelligent Systems Laboratory (ISL) at Wright State University.
Her research interests lie in Medical Image Analysis, Image and Video Processing, and Computer Vision. With nearly two decades of experience in image processing and computer vision, she has authored over 60 peer-reviewed publications in leading journals and conferences such as ICCV, ECAI, ICIP, Applied Soft Computing, and Multimedia Systems. She holds more than ten granted invention patents and has contributed to three academic monographs.
Dr. Ding serves as a board member of the Beijing Association for Artificial Intelligence and is an active member of several academic societies, including IEEE, AEPIA, and CSIG. She currently serves on the editorial board of Technology of IoT & AI and is a reviewer for numerous journals, including Neurocomputing, iScience, Engineering Applications of Artificial Intelligence, and Acta Automatica Sinica.
Her ongoing research integrates domain knowledge from medicine, signal processing, and artificial intelligence, contributing to the development of robust and interpretable models for complex visual analysis tasks.