About
Dr. Vicky Liu is a Senior Lecturer in the School of Computer Science at Queensland University of Technology (QUT), Faculty of Science. Her work spans network security, IoT ecosystems, smart grid security, and network performance optimization. She leads research projects in secure energy markets, IoT for power industry optimization, and precise positioning systems.
- PhD, Queensland University of Technology
- Master of IT (Research), Queensland University of Technology
- Bachelor of Business (Computing), Queensland University of Technology
Her research interests focus on network security and performance in emerging technologies. Key areas include IoT security (especially MUD, LoRa, Wi-Fi HaLow), smart city architectures, software-defined networking, and cybersecurity for smart grids and national energy markets. She investigates how to balance security with performance in resource-constrained environments.
The recent publications highlight a strong trend in IoT and smart grid security, with extensive work on LoRa and Wi-Fi HaLow for energy and urban applications. Her research integrates experimental validation, architectural design, and compliance frameworks. Topics include DoS/DDoS detection, authentication schemes, energy modeling, and secure trading systems.
- Vice-Chancellor's Performance Award (International Collaboration), 2008
Dr. Liu actively supervises HDR students at Honours, Masters, and PhD levels, with completed theses on IoT smart grids, secure energy trading, DTN routing, and VANET security. She has secured competitive grants including from IMCRC and Geoscience Australia. She led a Capital Equipment Grant to establish a state-of-the-art network laboratory at QUT for hands-on teaching and research. Her work bridges academia and industry, particularly in energy and telecommunications.
She leads and contributes to research teams focused on IoT security and smart infrastructure. Her lab supports practical experimentation with real-world networking equipment and protocols. Current and future work includes enhancing IoT profiling assurance, optimizing Wi-Fi HaLow under variable conditions, and strengthening legal compliance in critical communication systems.
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