Personal profile
Biography
Dr Zhigang Lu is a Senior Lecturer of Computer Science, an Academic Program Advisor with the School of Computer, Data and Mathematical Sciences, Western Sydney University (WSU) and a member of WSU Artificial Intelligence Research Group (AIRG). He is also an Adjunct Lecturer with James Cook University since August 2024.
His academic career began as a continuing Lecturer of Information Technology at James Cook University from January 2023, where he was recognised as one of the best lecturers based on student evaluations. He played a leading role in developing a new cyber security major to refresh the Master of Information Technology program, which is set to launch in Trimester 1, 2025.
Prior to that, he was a Postdoctoral Research Fellow with the Macquarie University Cyber Security Hub, Macquarie University from Jan 2020, working closely with Prof Dali Kaafar, Dr Hassan Asghar and Dr Dinusha Vatsalan. He was funded by the Macquarie University Cyber Security Hub, in partnership with the Defence Science & Technology Group and Data61-CSIRO, through the Next Generation Technologies Fund.
He obtained his PhD (supervised by Prof Hong Shen and Prof Michael Sheng, funded by the Adelaide Graduate Research Scholarship) and MPhil (supervised by Prof Hong Shen and A/Prof Nickolas Falkner) degrees from the University of Adelaide (now Adelaide University) and BEng degree from Xidian University, all in computer science. He was one of the two recipients of the University Master by Research Medal in 2015. He won a First Award in the National Undergraduate Mathematical Contest in Modelling (Shaanxi Division) in 2009 and a Third Award in the International Collegiate Programming Contest (ICPC Intramural Competition) in 2008.
He also worked as a Data Scientist in the industry for three months in early 2022.
Related links
Qualifications
Doctor of Philosophy, University of Adelaide
Master of Philosophy, University of Adelaide
External positions
Adjunct lecturer, James Cook University
Research keywords
- Cyber Security
- Data privacy
- Machine learning
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Collaborations and top research areas from the last five years
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LEAP: an LLM-based evidence augmented pipeline for table-based fact verification
Zhang, H., Si, Q., Fu, P., Lin, Z., Lu, Z. & Wang, W., 2026, Advanced Data Mining and Applications: 21st International Conference, ADMA 2025, Kyoto, Japan, October 22-24, 2025, Proceedings, Part I. Yoshikawa, M., Meng, X., Cao, Y., Xiao, C., Chen, W. & Wang, Y. (eds.). Singapore: Springer, p. 206-221 16 p. (Lecture Notes in Computer Science; vol. 16197 LNCS).Research output: Chapter in Book / Conference Paper › Chapter › peer-review
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Artificial intelligence in mitigating security threats for lightweight IoT devices: a survey of technologies, protocols, and future challenges
Ouyang, N., Shatte, A., Lu, Z., Chen, C. & Xiang, W., 2025, (E-pub ahead of print (In Press)) In: IEEE Internet of Things Journal. 16 p.Research output: Contribution to journal › Article › peer-review
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GAP-Diff: protecting JPEG-compressed images from diffusion-based facial customization
Zhu, H., Pang, S., Lu, Z., Zhou, Y. & Xue, M., 2025, 2025 Network and Distributed System Security Symposium. Internet Society, 20 p.Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review
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Near-optimal algorithms for instance-level constrained k-center clustering
Guo, L., Jia, C., Liao, K., Lu, Z. & Xue, M., 2025, In: IEEE Transactions on Neural Networks and Learning Systems. 36, 10, p. 18844-18858 15 p.Research output: Contribution to journal › Article › peer-review
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Online streaming sampling publication method over sliding windows with differential privacy
Wang, X., Mo, L., Guo, L., Lu, Z., Liu, Z. & Xue, M., 2025, In: IEEE Transactions on Dependable and Secure Computing. 22, 6, p. 6896-6912 17 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)
Projects
- 1 Finished
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An AI-Powered System for Sales Call Performance Evaluation
Zhang, Y. (PI), Lu, Z. (Investigator), Asuncion, V. (Investigator) & Lu, J. (Investigator)
3/02/25 → 31/12/25
Project: Research