Rate My Professor Yee Wei Law

Yee Wei Law is a Senior Lecturer in the School of Electrical and Mechanical Engineering within the College of Engineering and Information Technology at Adelaide University. He obtained his BEng degree from the University of Southampton, MEng from Nanyang Technological University, and PhD from the University of Twente. Before joining Adelaide University, Law served as a Research Fellow in the Department of Electrical and Electronic Engineering at the University of Melbourne. He was previously a Senior Lecturer at the University of South Australia from 2021, where he also held the position of Program Director from 2017 to 2021 for several Bachelor of Engineering (Honours) programs, including Electrical and Electronic Engineering, Electrical and Mechatronic Engineering, Electrical and Electronic Engineering with Business, and Mechatronic Engineering. During his time at UniSA, he coordinated and taught courses such as Control Systems, Advanced Control, Electromechanics, Power Electronics, Cryptography and Data Protection, and Telecommunications and Device Security. He contributed to maintaining the Cyber Engineering Knowledge Base at UniSA and taught at Deakin University prior to UniSA.

Law's research interests focus on adversarial machine learning, cybersecurity for space systems, and machine diagnostics and prognostics. He participated in numerous European projects on sensor networks, including EYES, SENSEI, Internet of Things Initiative, SmartSantander, and SocIoTal, serving as Chief Investigator for the last three. In Australia, he contributed to ARC-funded projects on sensor networks and smart city testbeds. His recent grants include funding from CSIRO for quantum-secure time transfer (2024-2027), the Department of Education for AI/ML-enabled space surveillance (2024-2026), and AOARD for physical adversarial attacks on satellite imagery models (2023-2025). Key publications include 'A Survey on Quantum-Secured Microgrids: Opportunities and Challenges' (Aslam et al., IEEE Systems Journal, 2026), 'Remaining Useful Life Prediction for Bearings Across Domains via a Subdomain Adaptation Network Driven by Spectral Clustering' (Xu et al., Sensors, 2025), 'Domain Adaptation for Satellite-Borne Multispectral Cloud Detection' (Du et al., Remote Sensing, 2024), and 'Security Games for Risk Minimization in Automatic Generation Control' (Law et al., IEEE Transactions on Power Systems, 2015). With a Google Scholar h-index of 28, his work appears in ACM Transactions, IEEE Transactions, and other leading venues. Law serves on the editorial boards of the International Journal of Distributed Sensor Networks and the Journal of Computer Security and Data Forensics.