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Governance and Leadership

RESEARCH & TECHNICAL CREDENTIALS

  • 100+ ERA-listed journal publications (majority Q1/Q2)
  • 2,300+ citations | h-index 26+ (Google Scholar) | h-index 20+ (Scopus)
  • 45+ journal publications since 2023 (~75% Q1)
  • Research domains:
    • Artificial Intelligence & Machine Learning
    • Federated & Edge AI
    • Cybersecurity & Trustworthy Systems
  • Invited keynote speaker for prestigious conference including IJCNN and ICML
  • Associate Editor, IEEE Transactions and flagship journals

SELECTED FUNDING & COMMERCIAL ENGAGEMENT

  • AMP Industry Contract – A$1.02M (Predictive analytics systems)
  • ARC Discovery Grant – A$175K (Vision & security systems)
  • NVIDIA Academic Partnership – A$100K (Edge AI)
  • AustIndustry Grant – A$115K (Cybersecurity systems)

RESEARCH LEADERSHIP

  • Strategic leadership of AI and engineering research portfolios, including FoR alignment, quality assurance, and TEQSA/ERA readiness.
  • Leadership of HDR and ECR development, research governance, and performance monitoring frameworks.
  • Development of industry-aligned research capability and collaborative research culture.

TEACHING EXCELLENCE & CURRICULUM LEADERSHIP

  • Leadership of research-informed, industry-aligned curriculum design and accreditation across IT, AI, and engineering-related programs.
  • Development and scaling of flagship programs with strong student demand and improved retention and progression outcomes.
  • Oversight of curriculum quality assurance and mentoring of academic staff in scholarly teaching practice.

GOVERNANCE, ADVISORY & SERVICE

  • Senior contributor to TEQSA, ACS, and Engineers Australia accreditation
  • Advisor to university executives on:
    • Growth strategy
    • Research portfolio optimisation
    • Regulatory risk
  • Supervised 10 PhDs and 50+ Masters, with alumni now holding academic appointments at prestigious universities (e.g. Imperial College London) and senior roles in leading technology organisations (e.g. Telstra)
  • Fellow, Engineers Australia (FIEAust).

EDUCATION

  • PhD (Computing Science) – Thesis on machine learning for anomaly detection, University of Technology Sydney, 2004
  • BE (Hons), Electrical & Electronic Engineering – Major in computer communication and neural networks, University of Western Australia, 1999
  • Certificate IV in Training & Assessment