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Professor Jun Zhang

Director of the cybersecurity lab


Professor Jun Zhang is leading the cybersecurity discipline at Swinburne University, Australia. He has endeavoured to foster a rich ecosystem of innovation and learning. As the director of Swinburne's Cybersecurity Lab, Professor Zhang has steered the institution into a realm of global recognition. The year 2020 marked a significant milestone in his career when he was honoured as the leading cybersecurity researcher by The Australian. This award encapsulates the essence of his persistent quest for knowledge, mirrored in his lab's numerous high-impact research papers and multi-million-dollar R&D projects. His efforts have significantly bolstered Swinburne's research excellence, evidenced by the top cybersecurity research institution award in The Australian's 2021 research magazine. Professor Zhang is the course director of the Bachelor of Cyber Security, and he implemented an industry-driven teaching model that has markedly enhanced the employability of the graduates. The profound collaboration with Deloitte on the Cyber Academy initiative is a testament to Swinburne’s commitment to bridging the academia-industry divide. The teaching innovation and industry collaborations have resonated profoundly with aspiring cybersecurity professionals, quickly swelling enrolment figures from tens to hundreds. Professor Zhang’s engagement transcends the academic perimeter, venturing into the broader community. His enthusiasm for promoting cybersecurity awareness and innovation shines through Swinburne's partnership with the Australian P-TECH program since 2019, aiding in the proliferation of STEM education within local schools. The myriad cybersecurity workshops produced by his lab for youngsters and their parents echo his vision of nurturing the next generation ready to tackle the digital challenges of the future.

Research interests


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

  • Data Security And Protection - 460403
  • Software And Application Security - 460406
  • System And Network Security - 460407

Teaching areas



  • 2021, Swinburne, Award of Mid-Career Researcher in the cluster of science, engineering and technology, Swinburne
  • 2020, Swinburne, Award of Research Excellence in the software and computing technologies discipline, Swinburne
  • 2020, National, Australia’s leading researcher in the field of Computer Security & Cryptography, The Australian


Also published as: Zhang, Jun
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

  • 2024: Project 4: AI4Design *; DATA61
  • 2023: Privacy Preservation in Deep Generative Networks *; Commonwealth Scientific & Industrial Research Organisation (CSIRO)
  • 2023: Private Machine Learning for Smart Energy Technologies *; Commonwealth Scientific & Industrial Research Organisation (CSIRO)
  • 2023: Robust Learning Systems via Amortized Optimization and Domain Adaptation (Extension 2023-2024) *; Defence Science Technology Group
  • 2023: Solar-driven Mobile Charging Pole Design Parameter Optimisation and Prototype Implementation *; FUSION CO FUND SCHEME
  • 2022: Building National Cybersecurity Capabilities for Digital Transformation in Manufacturing *; Next Generation Graduates Program
  • 2020: Building an Encrypted and Searchable NoSQL Data Store *; Oceania Cyber Security Centre Limited (OCSC Company)
  • 2020: Detecting Abnormal Network Traffic Using Graph Embeddings *; Defence Science Institute Artificial Intelligence for Decision Making Initiative
  • 2020: Developing Adversary-Aware Classifiers for Android Malware Detection *; ARC Discovery Projects Scheme
  • 2019: Deep Malware Analysis for Cyber (Student) *; DATA61
  • 2019: Detecting Firmware Vulnerabilities in Smart Home Devices *; ARC Linkage Projects Scheme
  • 2019: Intelligent Vulnerability Detection for Privacy Threat (Data61 Scholarship) *; 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: Fine-grained Anomaly Behaviour Identification for Predicting Cyber Insider Attacks *; Defence Science Technology Group
  • 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