Ming Ding

News

Short Bio

Projects

Current Activities

Publications

News

Short Bio

Ming Ding (IEEE M’12-SM’17) received the B.S. (with first-class Hons.) and M.S. degrees in electronics engineering from Shanghai Jiao Tong University (SJTU), Shanghai, China, and the Doctor of Philosophy (Ph.D.) degree in signal and information processing from SJTU, in 2004, 2007, and 2011, respectively. From April 2007 to September 2014, he worked at Sharp Laboratories of China in Shanghai, China as a Researcher/Senior Researcher/Principal Researcher. Currently, he is a Principal Research Scientist at Data61, CSIRO, in Sydney, NSW, Australia. His research interests include data privacy and security, machine learning and AI, and information technology. He has co-authored more than 200 papers in IEEE journals and conferences, all in recognized venues, and around 20 3GPP standardization contributions, as well as two books, i.e., “Multi-point Cooperative Communication Systems: Theory and Applications” (Springer, 2013) and “Fundamentals of Ultra-Dense Wireless Networks” (Cambridge University Press, 2022). Also, he holds 21 US patents and has co-invented another 100+ patents on 4G/5G technologies. Currently, he is an editor of IEEE Transactions on Wireless Communications and IEEE Communications Surveys and Tutorials. Besides, he has served as a guest editor/co-chair/co-tutor/TPC member for multiple IEEE top-tier journals/conferences and received several awards for his research work and professional services, including the prestigious IEEE Signal Processing Society Best Paper Award in 2022.

Projects

• Data Privacy as Business Opportunity
• Privacy-Preserving Access to User Data

Recent Professional Activities

1. Editor of IEEE Communications Surveys and Tutorials [2021 – Present]
2. Editor of IEEE Transactions on Wireless Communications [2018 – Present]
3. Editor of IEEE Wireless Communications Letters [2020 – 2021]
4. Invited Speaker for the Australian Platforms of Open Data (PFOD) showcase events on 07/04/2017, 27/07/2017, and 07/03/2019, which helped raise the public’s confidence in the Australian Government National Innovation and Science Agenda (NISA) and educate the government officers and general public to understand the critical issues in data security and privacy.
5. TPC Co-chair of the IEEE ICC 2020 Workshop on Integrating UAVs into 5G and Beyond (https://icc2020.ieee-icc.org/workshop/ws-01-workshop-integrating-uavs-5g-and-beyond)
6. Co-chair of the IEEE ICC 2019 Workshop on Integrating UAVs into 5G and Beyond (https://icc2019.ieee-icc.org/workshop/w04-2nd-workshop-integrating-uavs-5g-and-beyond)

Recent Publications

1. Dinh C. Nguyen, Quoc-Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin, Octavia Dobre, Won-Joo Hwang, “Federated learning for smart healthcare: A survey,” ACM Computing Surveys, vol. 55, no. 3, pp. 1-37, Apr. 2023.
2. Huang Guodong, Chuan Ma, Ming Ding, Yuwen Qian, Chunpeng Ge, Liming Fang, Zhe Liu, “Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic,” In Proceedings of the ACM Web Conference 2023, pp. 1991-1999, Apr. 2023.
3. Chuan Ma, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li, “Data Level Privacy Preserving: A Stochastic Perturbation Approach based on Differential Privacy,” IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 4, pp. 3619-3631, Apr. 2023.
4. Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor, “Cooperative Task Offloading and Block Mining in Blockchain-based Edge Computing with Multi-agent Deep Reinforcement Learning,” IEEE Transactions on Mobile Computing, vol. 22, no. 4, pp. 2021-2037, Apr. 2023.
5. Xin Yuan, Wei Ni, Ming Ding, Kang Wei, Jun Li, H Vincent Poor, “Amplitude-varying perturbation for balancing privacy and utility in federated learning,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 1884-1897, Mar. 2023.
6. Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou, “Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models,” IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 2, pp. 1435-1449, Mar. 2023.
7. Yuan Zhao, Bo Liu, Ming Ding, Baoping Liu, Tianqing Zhu, Xin Yu, “Proactive Deepfake Defence via Identity Watermarking,” In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 4602-4611, Jan. 2023.
8. Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu, Xin Yu, “TI²Net: Temporal Identity Inconsistency Network for Deepfake Detection,” In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 4691-4700, Jan. 2023.