Professor Tony Jan leads the AI Research Centre at Torrens University Australia, driving world-class research in Artificial Intelligence, Cybersecurity, and Information Technology. Under his leadership, the Centre produces over 130 publications annually, with four researchers ranked among the global top 2%.

He has built major industry partnerships with organisations including NVIDIA, CIMIC, Palo Alto Networks, Fortinet, IBM, Google, and Microsoft, enabling large-scale collaborations and real-world innovation.

Committed to the teaching–research nexus, Professor Jan has designed and launched new AI and IT programs, growing enrolments by over 2,000 students, expanding the academic team by more than 40 staff members, enhancing student satisfaction by 15%, and securing key external accreditations.

Previously, he held senior academic leadership roles at MIT and the University of Technology Sydney (UTS), delivering strategic growth and advancing research excellence.

His expertise spans machine learning applications for smart industries, supported by ARC grants and multi-million-dollar industry collaborations. His accolades include the SEI Global Academic Excellence Award (2024), the University Academic Leadership Award (2022), and the Research Excellence Award (2023), along with multiple leadership and research distinctions.

Tony’s current research interests include:

• 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 the future digital society)
• Smart sensor networks for intelligent environment monitoring (e.g., senior citizen home care and homeland security).

Selected publications:

• 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 Telecommunications Technologies, p.e4650.

Some of the research in smart and cognitive sensor networks for homeland security has been supported by ARC Discovery and several other large-scale industry-sponsored grants.