Dr. Ming Dong, Professor, Co-Director
Welcome
Ming Dong is currently a full professor in the Department Computer Science and the co-director of the Data Science and Business Analytics MS program and the AI, Big Data & Analytics Group at Wayne State University. He is also the director of the Machine Vision and Pattern Recognition Lab.
Dr. Dong's areas of research include deep learning, data mining, and computer vision with applications in health informatics and automotive industry. His research is funded by National Science Foundation, National Institutes of Health, State of Michigan, Private Foundations (e.g., Michigan Health Endorsement Fund, Epilepsy Foundation) and Industries (e.g., APB Investment, Ford Motor Company). He has published over 100 technical articles in premium journals and conferences in related fields, e.g., TMI, TMM, TPAMI, TKDE, TNN, TVCG, TC, IEEE CVPR, IEEE ICCV, IEEE ICDM, ACM MM, MICCAI, AMIA and WWW. He is/was an associate editor of Statistical Analysis and Data Mining, the American Statistical Association (ASA) Data Science Journal (since 2018), Journal of Smart Health (Since 2016), IEEE Transactions on Neural Networks (2008-2011), and Pattern Analysis and Applications (2007-2010), and served in many conference program committees and US National Science Foundation panels. He also served as senior research consultant in Baidu Inc. in 2008.
News
- Soumyanil Banerjee's paper entitled "Dual Self-distillation of U-shaped Networks for 3D Medical Image Segmentation" has been selected as one of the Best Paper Award Finalists in 21st International Synposium of Biomedical Imaging (ISBI), 2024.
- Soumyanil Banerjee sucessfully defended his PhD dissertation: Enhancing Healthcare Informatics through Deep Learning with Graph-based Models and Self-Distillation, April. 2024. Big Congratulations, Dr. Banerjee!
- Prof. Ming Dong joined the editorial board of IEEE TCSVT as an associate editor, January 2024. Submissions are welcome. IEEE Transactions on Circuits and Systems for Video Technology
- Two NIH R01s (2021 to 2026) were funded! Details are here