Academic Profile
- I am currently a Lecturer (Assistant Professor) at Deakin University, School of Information Technologies, Burwood, Melbourne, Australia. I completed my Ph.D. in Computer Science at RMIT University under the guidance/supervision of Professor Zahir Tari. Prior to that, I earned a Bachelor's degree in Computer Engineering (Software) and an Honours degree in Computer Science.
Recent news!
[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.
A big thank you to our partners and colleagues who contributed to this success. Looking forward to the journey ahead! 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.”
Recent events
- [AISC26] I am serving as the PC Chair, as part of ACSW.
- [CIKM2025] I am serving as the TPC member.
- [AISC25] I am serving as the PC Chair as part of ACSW.
Research topics/projects
Primary research interests lie in the realms of systems security and scalability/performance, particularly in:
- Systems security, including decentralised and cloud/edge-based systems, with a focus on anomaly detection.
- Enhancing the reliability, scalability, and performance of large-scale distributed systems, with an emphasis on fault tolerance in various systems (such as stream processing) and consensus algorithms in different environments (such as blockchain systems).
Current research topics/projects:
CRC-P Project: Fraud detection within digital payment systems, more specifically cryptocurreny transactions. Our project aims to develop a digital platform consisting of novel anti-fraud and anti-money laundering techniques, to align Crypto transactions with traditional payment options such as credit cards.
Cryptocurrency scams: the goal is to understand how the scams work, how to detect them, and scammers’s tactics.
Distributed Systems Scalability/Performance: The project aims to improve the scalability and performance of distributed systems. We focus on developing a new consensus algorithm that can be used in distributed systems to improve their performance and scalability.
Prospective students
- I am on the lookout for graduate and undergraduate students who possess a strong background in system security, distributed computing, and machine learning. If you're passionate about system research, feel free to email me your CV.
Useful links
- Computer Security Conference Ranking and Statistic
- System and Security Conference Deadline
Science serves as the compass guiding humanity’s journey toward enlightenment, illuminating the path of progress with the light of empirical discovery.