• Academic Career

I am currently a Lecturer (Assistant Professor) at Deakin University, School of Information Technologies, Burwood, Melbourne. Before that, I was postdoctoral research fellow at RMIT University, Melbourne. I completed my Ph.D. in Computer Science at RMIT University under the supervsion of Professor Zahir Tari. Prior to that, I earned a Bachelor's degree in Computer Engineering (Software) and an Honours degree in Computer Science. My research spans systems security, reliability, and scalability, with recent work focusing on anomaly detection and blockchain forensics. [See my research focus here].

I am always looking for self-motivated PhD students who possess a strong background in system security, distributed computing, and machine learning. Please email me your CV, transcript, research statement (no more than 200 words), and english test score.

• Industry Career

I also have a decade of industry experience as a Senior Software Engineer in both local and international companies, where I developing secure, scalable, and high-performance products in the digital payments domain. My work spanned transaction processing systems and advanced fraud-detection capabilities, including credit card fraud prevention using serverless inference models at the core of leading digital payment platforms.

News!

• Call For Papers, AISC 2026 Conference

• [ITNNLS] [Top Ranked Journal Q1] - paper published - “DSPFL: A Deep-Layer Sign Sharing Personalized Federated Learning Scheme for Mitigating Poisoning Attacks” [2025]

• [ARC LP] – Our team has been awarded an ARC Linkage Project, one of the most prestigious research grants in Australia. This funding will support collaborative research with DEAKIN, RMIT, UNSW and our industry partner to tackle real-world challenges and drive meaningful impact. ARC LP

• [ICSOC2024] [Core ranked A – 15% acceptance rate]- paper accepted - “A Query Language to Enhance Security and Privacy of Blockchain as A Service (BaaS)”

• [ICDE2024] [Core ranked A*]- paper accepted - “A Predictive Profiling and Performance Modeling Approach for Distributed Stream Processing in Edge.”

• [ICDE2023] [Core ranked A*]- paper accepted - “Radar: Reactive concept drift management with robust variational inference for evolving iot data streams.”

Useful links

• Computer Security Conference Ranking and Statistic
  • Conference-ranking
  • Conference-stats
• System and Security Conference Deadline
  • CS Conference Deadlines
  • System Conference Deadlines
  • Security Conference Deadlines

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