Yee Wei Law

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Bio

I am Yee Wei Law (羅裔緯) or “Law” for short. I received my BEng, MEng and PhD degrees from University of Southampton, Nanyang Technological University, and University of Twente respectively. I was born in Malaysia, but I have been an Australian citizen since 2011.

I am currently a Senior Lecturer at Adelaide University.

Research

My research interests covered a broad spectrum, but I am currently focusing on cybersecurity (partly funded by the Department of Industry, Science and Resources through the Critical Technologies Challenge Program), machine-learning-based applications for space systems (partly funded by the Department of Education through iLAuNCH), adversarial machine learning (partly funded by AOARD), as well as machine prognostics and health management (partly funded by SA Water).

I was involved with numerous European projects on sensor networks, including EYES, SENSEI, Internet of Things Initiative, SmartSantander and SocIoTal; in particular, I was a Chief Investigator in the last three projects. In Australia, I was involved with ARC-funded sensor network and smart city testbed projects. I am serving on the editorial board for International Journal of Distributed Sensor Networks and Journal of Computer Security and Data Forensics. My publications can be found in ACM Transactions, IEEE Transactions, IEEE Magazines, EURASIP Journals and more, earning me a Google Scholar H-index of 28.

See my up-to-date list of publications.

Teaching

As of 2026, I am coordinating and teaching COMP 1006 Engineering Programming and ENGE X421 Telecommunication System Security. I developed ENGE X411 Telecommunication Device and Network Security, but I am not teaching the course.

I developed and taught the following courses at UniSA:

Course Year range
COMP 5074 Cryptography and Data Protection 2022-2024
COMP 5075 Telecommunications and Device Security 2023-2025
EEET 2044 Electromechanics 2020-2021
EEET 3016 Power Electronics 2021-2025
EEET 3046 Control Systems 2014-2020
EEET 4071 Advanced Control 2014-2021

A common thread in my teaching is model-based design, supported by analytical problem solving and computational thinking.

Misc

On 5 December 2021, I co-founded Mesh in Space. On 9 February 2022, Mesh in Space was admitted into the Venture Catalyst Space program. However, on 8 February 2023, all co-founders decided to take a break from the start-up scene and focus on research.