Associate Professor Jun Zhang
- Faculty of Science, Engineering & Technology
- School of Software and Electrical Engineering
- Department of Computer Science and Software Engineering
- EN511b Hawthorn campus
- ORCID profile
Associate Professor Jun Zhang received his Ph.D. degree in computer science from the University of Wollongong, Australia. He is the Co-founder and Director of the Cybersecurity Lab, Swinburne University of Technology, Australia. His research interests include cybersecurity and applied machine learning. In particular, he is currently leading his team developing intelligent defence systems against sophisticated cyber attacks. He is the Chief Investigator of several projects in cybersecurity, funded by the Australian Research Council (ARC). He has published more than 100 research papers in many international journals and conferences, such as the IEEE Communications Surveys and Tutorials, IEEE Transactions on Information Forensics and Security, and The ACM Conference on Computer and Communications Security. Two of his papers were selected as the featured articles in the July/August 2014 issue of IEEE Transactions on Dependable and Secure Computing and the March/April 2016 issue of IEEE IT Professional. His research has been widely cited in the area of cybersecurity. He has been internationally recognised as an active researcher in cybersecurity, evidenced by his chairing of 15 international conferences, and presenting of invited keynote addresses in 6 conferences and an invited lecture in IEEE SMC Victorian Chapter. He is an IEEE senior member.
IP Network Resilience and Security; Software Security
PhD candidate and honours supervision
Higher degrees by research
Accredited to supervise Masters & Doctoral students as Principal Supervisor.
Available to supervise honours students.
Fields of Research
- Computer System Security - 080303
- Information Systems - 080600
IP Network Resilience and Security;Software Security
Also published as: Zhang, Jun; Zhang, J.
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.
Recent research grants awarded
- 2020: Developing Adversary-Aware Classifiers for Android Malware Detection *; ARC Discovery Projects Scheme
- 2019: Deep Malware Analysis for Cyber (Student Zian Liu) *; DATA61
- 2019: Detecting Firmware Vulnerabilities in Smart Home Devices *; ARC Linkage Projects Scheme
- 2019: Intelligent Vulnerability Detection for Privacy Threat (Data61 Scholarship for Xinbo Ban) *; DATA61
- 2019: Towards Robust Learning Systems via Amortized Optimization and Domain Adaptation *; DATA61
- 2018: Blockchain Lab Phase 1 Project (Artchain) *; ArtChain Global Pty Ltd
- 2018: Blockchain Lab Phase 2 Project (Artchain) *; ArtChain Global Pty Ltd
- 2018: Developing an effective defence to cyber-reputation manipulation attacks *; ARC Linkage Projects Scheme
- 2018: Fine-grained Anomaly Behaviour Identification for Predicting Cyber Insider Attacks *; Defence Science Technology Group - Research Contract
- 2017: Adversarial Machine Learning for Cyber *; Commonwealth Scientific & Industrial Research Organisation (CSIRO)
- 2017: Deep Learning for Cyber *; Commonwealth Scientific & Industrial Research Organisation (CSIRO)
* Chief Investigator
There are no media items to display