Dr. Ming Dong, Professor, Co-Director
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.
- Prof. Dong is co-chairing IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, July 2022, Download the CFP. Submissions and Paticipations are welcome!
- Best Paper Award of IRI 2021, Octave Deep Compression: In-Parallel Pruning-Quantization on Different Frequencies by Qisheng He, Ming Dong and Loren Schwiebert, August 2021
- Two NIH R01s were funded! Details are here
- Hajar Emami, Ming Dong, Siamak P. Nejad-Davarani, and Carri K. Glide-Hurst, SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation, was accepted by MICCAI, May 2021. Additionally, Hajar received the MICCAI Student Travel Award as one of the best (based on reviewi scores) first author students.
- Soumyanil Banerjee, et al., Deep Relational Reasoning for the Prediction of Language Impairment and Postoperative Seizure Outcome Using Preoperative DWI Connectome Data of Children with Focal Epilepsy, was accepted by IEEE Transcations on Medical Imaging, Nov 2020.