The Next Generation Internet of Everything (NGIoE) research group aims to accelerate knowledge creation, expertise development and value delivery to key stakeholders in Internet of Things (IoT) industry. It also aspires to facilitate a collaborative platform where people with diverse background (interdisciplinary) can come together to inspire, be inspired and innovate the next generation IoT technologies. NGIoE will leverage UNNC’s strengths, its unique East-West academic environment, robust industrial partnerships, and access to diverse talent pools—to establish itself as a leader in next-generation Internet communication technologies with autonomous, data-driven and human-centric computing. This vision resonates with the University’s emphasis on interdisciplinary collaboration, enabling researchers and students to co-create solutions which address global challenges across various industry verticals such as smart cities, smart mobility/transportation, intelligent healthcare, and so on.
The NGIoE will serve as a catalyst for deepening UNNC’s international collaborations with top-tier universities, research institutes, and technology enterprises. By actively engaging with global networks, the Research Group will strengthen the University’s research portfolio, attract external funding, and bolster its role in shaping future technology roadmaps, policies, and best practices in the areas of IoT.
NGIoE supports UNNC’s strategies by championing interdisciplinary innovation, addressing global challenges, fostering industry-ready talent, and expanding international connections—all while positioning the University as an influential leader in the next generation of IoT technologies.
Vision "Advancing human life, harmonising the environment with Internet of everything”
NGIOE's Research Framework
We cover a wide range of topics across different communication layers such as IoT appliacations, data or signal processing, network protocols and devices.
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Group Members
| Name | Job Title | Research Area | Research Interests |
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Chiew-Foong Kwong
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Associate Professor
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5/6G Mobility, Smart Mobility
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5G mobility management, 5G self-organising network; Mobile Edge computing; 5G core network; C-V2X; Mobile Blockchain
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Ching Seong Tan
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Visiting Professor
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VLC, Robotic, IoT
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VLC, IoT, Autonomous Robotic System, Internet of Waste Thing (IoWT)
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David Chieng
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Associate Professor (Head of Group)
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IoT, Sensing and Localisation, Smart Mobility
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IoT, mobile networks, wireless mesh networking, QoS networks, energy efficiency in wireless network, indoor localization, intelligent sensing.
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Ian Pratt
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Professor
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RFID, IoT
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RFID, IoT, Wireless sensor network, RTLS
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Jing Wang
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Assistant Professor
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Biosensor, Internet of Health Things
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Optical biosensor, Surface Plasmon Resonance, Fiber Bragg Grating, Wearable sensor/sensing system, Smart sensor, Internet of Health Things
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Qianyu Liu
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Visiting Assistant Professor
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5/6G Mobility, Indoor Localization
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5/6G Mobility, Indoor Localization
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Sen Yang
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Assistant Professor
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AI for biomedical systems, Indoor Localisation
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Cuff-less non-invasive blood pressure estimation using PPG and ECG signals with the aid of machine learning algorithms, Indoor Localisation.
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Zheng Chu
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Assistant Professor
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5/6GPhysicalLayer, RIS
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5G/6G, RIS, MIMO, V2X, Physical layer
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Coming soon
David.Chieng@nottingham.edu.cn