Paul Pang

Dr. Paul Pang is an Associate Professor of Cyber Security at Federation University Australia's Institute of Innovation, Science and Sustainability (IISS). Previously, he held a Professorship in Data Analytics and directed the Center for Computational Intelligence for Cybersecurity at Unitec Institute of Technology, New Zealand. His research focuses on Cognitive Cyber Security Intelligence, Cyber Resilience, and Applied Data Analytics for Digital Health, leveraging over NZD$3.5M in grants from organizations like MBIE and HRC. He has authored over 100 refereed articles and holds 1 patent with 3 pending applications.

Education: PhD in Engineering from Shanghai Jiao Tong University (2000).

Research Interests: Pang's work spans cybersecurity, digital health, and big data analytics. He develops intelligent systems for cyber threat detection, resilience frameworks, and healthcare applications. His methods include machine learning for data streams, incremental learning algorithms, and multi-agent cooperative systems.

Publications Trends: His articles emphasize cybersecurity (e.g., darknet traffic analysis, malware grouping), healthcare analytics (e.g., schizophrenia prediction), and foundational machine learning (e.g., SVMs, LDA algorithms). Collaborations span institutions in Japan, China, and the U.S.

• Awards: IEEE Best Paper Awards (2003, 2008), Unitec Excellence Awards (2011-2015), ARC Assessor (Australia).
• Advising & Grants: Supervised 10+ PhD/Masters students; led 13 grants totaling NZD$3.5M. Notable students include Snjezana Soltic (Pest Survival Analysis) and Simon Dacey (Land Use Management).
• Professional Roles: IEEE Senior Member, Vice President of APNNS, Global AI Summit Judge (2018).

Labs/Teams: Active in Federation University's Cybersecurity and Digital Health research groups. Collaborates with industry partners like NICT Japan and Telecom NZ.