Current Students

I am a Ph.D. student in Computer Science (CS) at the Swinburne University of Technology and Data61|CSIRO, Australia. under the supervision of Ming Ding, I am working on the analysis of privacy and security for software and systems, specifically on emerging computing platforms and cyber-physical environments in which they operate. Through system simulation and program analysis, my research seeks to improve privacy and security guarantees in the IoT ecosystem. My research interests mainly include:

• Software Vulnerability Analysis
• IoT Security and privacy

I am a PhD student in Computer Security at Macquarie University and Data61 CSIRO, Australia. With my PhD advisors Mohamed Ali (Dali) Kaafar (Macquarie University), Hassan Asghar (Macquarie University), and Dinusha Vatsalan (Data61 CSIRO), I am working on an evaluation of modern authentication protocols. I am focusing on the security and privacy aspects of the biometric, passwordless, and multi-factor authentication mechanisms, and their application in the industry. I am researching the technical and usability challenges of strong authentication and their impact on individuals and organizations. My research interests include multi-factor authentication, passwordless authentication, biometric authentication, privacy-preserving authentication, and usability aspects of authentication.

Nan Wu received the B.S. degrees (Hons.) in electronic and communication systems from The Australian National University, Australia, in 2015, and also from the Beijing Institute of Technology, China, in 2016, and the M.Res. degree in computer science from Macquarie University, Australia, in 2019. She is currently pursuing the Ph.D. degree with Macquarie University. She is also with CSIRO’s Data61. Her research interests include privacy-preserving machine learning, privacy in data matching, security and privacy, and game theory.

Ehsan is a PhD student in Electrical Engineering and is working under the supervision of Dr Ali Arefi at Murdoch University and David Smith at Data61/CSIRO. His PhD research focuses on load forecasting in smart grids considering rooftop PV generation behind the meter while maintaining households’ privacy. His research interests include:

• Application of Machine Learning in Smart Grids,
• Evaluation of Privacy-Preserving in Load Forecasting,
• Energy Management and Scheduling of Power Systems and Smart Grids,
• Stability Analysis of Power Systems,
• Optimisation Algorithms.

Kanishka is currently reading his PhD in Privacy Preserving Machine Learning at Deakin University and Data61|CSIRO – Australia, under the supervision of Dr. David Smith and Prof. Pubudu Pathirana. He is currently working on communication efficient utility optimization for Differentially Private Federated Learning in Industrial IOT. More specifically he’s work is based on optimizing the differentially private stochastic gradient descent algorithms to improve utility while preserving the privacy aspects in Federated Learning applications in Industrial IOT. His current research interests include:

• Federated Learning with user level differential privacy
• Differentially private optimization methods
• Application of privacy preserved federated learning in IIOT domains.
• Utility optimization for DP-SGD
• Adaptive Gradient Clipping Techniques

I am a PhD student at School of Computer Science, University of Technology Sydney and affiliated to Data61, CSIRO. My research focuses on protecting visual privacy in the deep learning era. I am currently working on face de-identification in images and videos.