Abigail Koay

Dr. Abigail Koay is an Honorary Research Fellow at the University of Queensland's School of Electrical Engineering and Computer Science. Her research focuses on cybersecurity, machine learning applications in industrial systems, and healthcare technology. She has contributed to projects such as real-time cyber-attack detection using weakly supervised learning, supported by UQ Cyber Seed Funding (2021–2022).

Her work spans multiple disciplines including:

• Cybersecurity for Industrial Control Systems (ICS)
• IoT network anomaly detection using fog-assisted frameworks
• Machine learning for medical imaging (e.g., glaucoma detection)
• AI-driven cybersecurity strategies for smart grids

Recent publications highlight advancements in:

• Irregular time series analysis using GNNs
• Positive-unlabeled learning with random forests
• Domain generalization in retinal image analysis

Dr. Koay has authored/co-authored 15+ peer-reviewed articles across journals like Frontiers of Computer Science, IEEE Access, and conferences including NeurIPS and ISGT Asia. She collaborates with industry partners on projects like Plan2Defend for smart grid security and SDGen for synthetic cybersecurity dataset generation.

Her research integrates theoretical machine learning with practical cybersecurity challenges, emphasizing real-world applicability in critical infrastructure and healthcare systems.