Research Staff

My research focuses on data privacy and information security and their application to federated systems. I am interested in the design and use of frameworks for privacy risk assessment, the development of provable privacy mechanisms, and the study of utility/privacy trade-off in specific application domains. Some of my recent projects include:

• Privacy-Preserving Analytics for the EdTech Industry
• Private Data Sharing in Trusted Agrifood Exports
• Privacy-at-the-edge systems (e.g. smart electricity meter, mobile data collection, federated ML)

David is a Principal Research Scientist, his research interests include:

• Game theory for distributed networks;
• Distributed optimisation for wireless mesh networks and 5G Networks;
• Smart-grid communications and demand-side management;
• Wireless networks for disaster response;
• Body area networks — technologies and systems.
• Privacy preserving technologies for releasing data, information-theoretic.

Paul leads the Data Privacy Team as a Principle Research Projects Officer. Paul is particularly interested in:

• understanding privacy and commercial sensitivity risk in data;
• developing processes and frameworks to help manage risk;
• balancing privacy and utility in real world data releases.

I am a CISSP and my current research interests are:

• Secure and usable authentication for online users
• Privacy engineering and risk management
• Business Process and Security Compliance

My research interests:

• Information Theory and Signal Processing
• Data Privacy and Security
• Machine Learning and AI
• Wireless Communications

Xinlong is a research engineer working on :

• Android development
• Website development
• Desktop application development
• Backend development

Thilina Ranbaduge is a Research Scientist at Data61-CSIRO, Australia,
and an Honorary Lecturer in School of Computing at the Australian National University (ANU).
Thilina is particularly interested in:

• Private graph analytics
• Privacy risk and vulnerability assessment in data
• Privacy preserving techniques for data integration and mining
• Privacy in health and population informatics

Wei Ni is a Principal Research Scientist in the ISP Group, Data61, CSIRO, an Adjunct Professor at the Discipline of Network and Security, the University of Technology Sydney, and an Honorary Professor at the School of Computing, Macquarie University. He also holds senior honorary positions in ANU, USYD, and UNSW. He serves as the Chair of IEEE Vehicular Technology Society (VTS) New South Wales (NSW) Chapter since 2020, an Editor of IEEE Transactions on Wireless Communications since 2018, and an Editor of IEEE Transactions on Vehicular Technology since 2022. His research interests include applied machine learning, online learning, stochastic optimization, and their applications to system integrity, security, privacy, trust, and efficiency.

Conggai Li is a Postdoctoral Fellow in the ISP Group, Data61, CSIRO. Conggai was a research associate at the Faculty of Engineering and Information Technology (FEIT), the University of Technology Sydney (UTS), Australia. In March 2021, Dr. Li received her Doctoral degree from the Australian Artificial Intelligence Institute (AAII), UTS. She received her MS degree and BS degree both from Taiyuan University of Technology, China. Her research interests include graph databases and efficient query algorithms. She has published papers in top venues including VLDB, TKDE and KAIS.

• Differential privacy
• Fairness in machine learning
• Private data releasing and analysing

• Privacy-preserving machine learning
• Optimization towards the trade-off between privacy and utility
• Differential privacy

• Privacy preserving techniques such as differential privacy
• User-centric privacy and user studies
• Quantification of Privacy
• Assisting users in making informed decisions about data sharing