Dr Abigail Koay's primary research is on network security and applied machine learning. Abigail obtained her PhD from the Victoria University of Wellington in 2019, where she developed tools and designed architectures for detecting Distributed Denial of Service Attacks. She also holds a Bachelor’s Degree in Computer Science, majoring in Computer Systems and Networking from the Universiti Malaysia Pahang. Her current research interests are in cyber security, traffic analysis, attack detection, wearable technologies, and data analytics
Awards/Fellowships
- Best Undergraduate Thesis Award, University Malaysia Pahang, 2012
Professional Social Media
Research Grants
|
Grant/project name |
Investigators |
Funding body and AUD$ value |
Year(s) |
Focus of research grant |
|
2023 QDSA Collaborative Research Grant |
Abigail Koay |
QDSA AUD 101,168 |
2023 |
Enhancing UGVs’ multi-agent collaboration capabilities using federated reinforcement learning
|
|
2021 Artificial Intelligence for Decision Making Initiative |
Abigail Koay, Naipeng Dong (UQ) |
University of Melbourne AUD 20,000 |
2021 |
A lightweight and Adaptive LSTM Model in Large-Scale Dynamic Environment |
Research areas
- network security
- applied machine learning
- traffic analysis
Dr Abigail Koay's specialist areas of knowledge include network security, critical infrastructure security, anomaly detection