Accepting PhD Students

PhD projects

Cyber security for industrial IoT (IIoT) systems (e.g., real-time threat detection)
Next-generation applications for smart cities (e.g., drones and smart vehicles)
Cognitive sensor network for built environments (e.g., digital twins and surveillance)
Extended reality and AI for future digital societies (e.g., senior citizen home care).

19992024

Research activity per year

Personal profile

Professional Information

Tony Jan is a Professor and Head of Information Technology leading AI, IT, cloud, games, and cybersecurity programs at Torrens University Australia. Prior to this role, Tony was Associate Professor and Associate/Deputy Head of School at the Melbourne Institute of Technology (5 years) and University of Technology Sydney (10 years) respectively.

Tony specializes in machine learning for cybersecurity/smart digital technologies and has published over 70 high-impact journals and conference articles. Tony received the University academic leadership award (in 2022) and research excellence award (in 2023). Tony is the current Director of the Artificial Intelligence Research Centre at Torrens and his research has been supported by several grants including ARC discovery and large-scale industry-sponsored grants (over $20m) in the domains of AI and homeland security.

His recent interests are in machine learning for the Internet of Things (IoT) and cybersecurity.

  • Alazab, A., Khraisat, A., Singh, S., & Jan, T. (2023). Enhancing Privacy-Preserving Intrusion Detection through Federated Learning. Electronics (Switzerland), 12(16).
  • Sulimani, H., Akbar, M. S., Kaiwartya, O., Alghamdi, W. Y., Jan, T., Simoff, S., & Prasad, M. (2022). Reinforcement optimization for decentralized service placement policy in IoT-centric fog environment. Transactions on Emerging Telecom. p.e.4650.

Research interests

Tony’s research interest includes,

  • Federated machine learning for IoT security (e.g., cybersecurity in health services)
  • Ensembled machine learning for real-time industry applications (e.g., mission-critical applications such as commercial drones and driverless vehicles)
  • Cognitive machines for human-centric computing applications (e.g., AI-enabled augmented reality for future digital society)
  • Smart sensor networks for intelligent environment monitoring (e.g., senior citizen home care and homeland security).

Some of the research in smart and cognitive sensor networks for homeland security was supported by ARC discovery and other several major industry-sponsored grants.

Education/Academic qualification

Computing Science, PhD, Learning and generalization using kernel based subspace model approaches, University of Technology, Sydney

Award Date: 27 Sept 2004

(Computer) Engineering, Bachelor, Artificial neural network for computer communications (Honours thesis), University of Western Australia

Award Date: 22 Apr 1999

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