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Ningning Hou is a Lecturer in Computing (IoT/Networking) at Macquarie University's School of Computing. They are affiliated with the Future Communications Research Centre and Data Horizons Research Centre. Previously, they served as a Postdoctoral Fellow at The Hong Kong Polytechnic University (PolyU) and earned their PhD in Computer Science from PolyU in 2021, followed by a B.Eng. in Telecommunication Engineering from Beijing University of Posts and Telecommunications (2017). Research Interests: Low Power Wide Area Networks (LPWANs) Internet-of-Things (IoT) Wireless Sensing and Networking Wireless Security Recent research focuses on enhancing LoRa communication through innovations like full-duplex gateways (FDLoRa) and scalable logical channels (XGate), addressing challenges in network scalability, signal interference, and security threats. Their work spans topics such as data aggregation efficiency, antenna diversity, and covert channel mitigation. Advising: Actively seeking self-motivated PhD students and researchers for projects in LPWANs, edge computing, and wireless security. Labs/Teams: Involved with Future Communications Research Centre and Data Horizons Research Centre.

• Low Power Wide Area Networks (LPWANs)
• Internet-of-Things
• Wireless Sensing
• +3 more

Prof. Tao Gu is a Professor at the Department of Computing, Macquarie University, Sydney. He holds affiliations with the Future Communications Research Centre, Hearing Research Centre, and Smart Green Cities Research Centre. His research focuses on IoT, Ubiquitous Computing, Mobile Computing, Embedded AI, Wireless Sensor Networks, and Big Data Analytics. He earned his Ph.D. in Computer Science from the National University of Singapore (2006), M.Sc. in Electrical and Electronic Engineering from Nanyang Technological University, and B.Eng. in Automatic Control from Huazhong University of Science and Technology. Education: PhD (NUS), MSc (NTU), B.Eng (HUST) Affiliations: School of Computing, Macquarie University Research Themes: IoT, Embedded AI, Wireless Communication His research emphasizes innovative sensing and connectivity solutions. Notable projects include LoRa network optimization, mobile deep learning frameworks (MDLdroid), and acoustic-based health monitoring systems. He has received awards such as the IEEE SMARTCOMP 2016 Best Paper Award and the Ten Years CoMoRea Impact Paper Award at PerCom 2013. Current work explores secure device pairing, energy-efficient LoRa protocols, and multi-modal sensing using WiFi/RF signals. His lab develops systems like AudioGuard for intrusion detection and AIMSafe for driver behavior analysis. Ongoing projects address data-driven economies, hearing healthcare analytics, and non-intrusive human activity sensing.

• Internet of Things
• Ubiquitous Computing
• Mobile Computing
• +3 more

Dr. Zhongwei Zhang is a Senior Lecturer at the University of Southern Queensland's School of Mathematics, Physics and Computing. He holds a BSc from Harbin Institute of Technology (1986), MSc from Vrije Universiteit Amsterdam (1993), and PhD from Monash University (1998). His research focuses on IoT applications in healthcare and agriculture, network security, data analytics, and ethics in emerging technologies. He has published over 67 articles in journals like IEEE Communications and Journal of Applied Animal Nutrition. He teaches courses such as CSC1310 Interworking and CSC8470 Network Security Management, integrating industry skills like project management and ethical decision-making. His supervisions include doctoral studies on IoT security and healthcare systems. He has contributed to grants like the Australian Research Council’s 2016 project on poultry nutrition and sensor networks in structural health monitoring. His research interests bridge theoretical and practical aspects of IoT, emphasizing cybersecurity, data privacy, and ethical technology use. Notable works include developing frameworks for healthcare IoT systems and secure authentication protocols for electronic health records.

• IoT Applications
• Network Security
• Data Analytics
• +5 more

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.

• Network Security
• Internet of Things (IoT)
• Smart City Technologies
• +7 more