Ming Ding

About

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), 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 as a Researcher/Senior Researcher/Principal Researcher. Currently, he is the Group Leader of the Privacy Technology Group at CSIRO’s Technology Research Unit in Sydney, NSW, Australia. Also, he is an Adjunct Professor at Swinburne University of Technology and University of Technology Sydney, Australia. His research interests include data privacy and security, machine learning and AI, and information technology. He has co-authored more than 300 papers in IEEE/ACM 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 Area Editor of IEEE Communications Surveys and Tutorials and an Editor of IEEE Transactions on Network Science and Engineering. 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 and Highly Cited Researcher recognized by Clarivate Analytics in 2024 and 2025.

Employment

• CSIRO Group Leader
  2025 - Present
• Data61, CSIRO Principal Research Scientist
  2022 - 2025
• Data61, CSIRO Senior Research Scientist
  2016 - 2022
• NICTA Researcher
  2014 - 2016
• Sharp Laboratories of China Co., Ltd. Principal Researcher & Assistant Manager
  2013 - 2014
• Sharp Laboratories of China Co., Ltd. Senior Researcher
  2011 - 2013
• Advanced R&D Center, Sharp Electronics (Shanghai) Co., LTD. Researcher
  2007 - 2011

Education

• Shanghai Jiao Tong University Ph.D.
  2007 - 2011
• Shanghai Jiao Tong University M.S.
  2004 - 2007
• Shanghai Jiao Tong University B.S.
  1999 - 2004

Projects & Funding

Projects & funding information is unavailable.

Publications (417)

• Safeguarding Knowledge in Federated Transfer Learning with Direction-Aware DP
  2026 DOI: 10.1145/3803630.3809171
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• Inspectable AI for Science: A Research Object Approach to Generative AI Governance
  2026
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• Face De-identification: State-of-the-art Methods and Comparative Studies
  2026 DOI: 10.1109/TBC.2025.3639783
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• Mobility-Aware Federated Learning: Optimizing Performance with Interpretable Models and Wireless Channel Resource Allocation
  2026 DOI: 10.1109/TMC.2025.3624803
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• Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
  2026 DOI: 10.1109/TETC.2025.3647650
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• From 5G to 6G: A Survey on Security, Privacy, and Standardization Pathways
  2026 DOI: 10.1145/37854
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• Unshaken by Weak Embedding: Robust Probabilistic Watermarking for Dataset Copyright Protection
  2026 DOI: 10.14722/ndss.2026.241356
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• ForgeFinder: Perceptive Multimodal Deepfake Detection via Multi-grained Forgery Localization
  2026 DOI: 10.1145/3778030
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• CoP: Coordinated Perturbation for Controlled Disclosure Under Local Differential Privacy
  2026 DOI: 10.56553/popets-2026-0145
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• Differential privacy for multi-modal federated learning with modality selection
  2026 DOI: 10.1109/TIFS.2025.3598587
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• Dual Time-Scale Resource Allocation for Hybrid VR and Haptic Services With Diffusion-Based DRL
  2026 DOI: 10.1109/TWC.2026.3662682
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• GuardFL: Safeguarding Federated Learning against Backdoor Attacks via Attributed Client Graph Clustering
  2026 DOI: 10.1109/TIFS.2025.3639985
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• HiFi-WF: Toward Realistic Website Fingerprinting with Multi-tab and Subpage Recognition
  2026 DOI: 10.1145/3774904.3792412
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• Hierarchical Federated Learning for Social Network with Mobility
  2026 DOI: 10.1109/TCCN.2025.3612747
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• Industrial metaverse: enabling technologies, open problems, and future trends
  2026 DOI: 10.1109/COMST.2025.3563919
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• Mobility in Hierarchical Federated Learning: Resource Allocation and Convergence Analysis
  2026 DOI: 10.1109/TCCN.2025.3585126
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• Convergence-Latency-Aware Adaptive Modulation and Resource Allocation in RIS-Assisted Wireless Federated Learning
  ArXiv 2026
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• Dependency Triad: A Metric to Quantify the Dependencies Between Attributes for Local Differential Privacy
  ArXiv 2026
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• Federated Customization of Large Models: Approaches, Experiments, and Insights
  ArXiv 2026
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• Inspectable AI for Science: A Research Object Approach to Generative AI Governance
  ArXiv 2026
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