Next Generation Internet of Everything Laboratory
(NGIoE Lab)

The Internet of Everything (IoE) has emerged as a new frontier of global communication framework which would revolutionise a wide range of applications and services thus transforming how we work and live. The Internet of Things (IoT) which is core driver of IoE, has grown significantly over the last few years and expected to reach 25.5 billion of connected devices and has been adopted in all types of industry vertical and consumer markets worldwide by 2030.

China is currently playing an increasingly important role in the development of the IoE, which is growing in lockstep with the technological presence of Chinese companies. Several factors are driving this trend, including private sector incentives and Chinese government policies introduced over time to increase the participation of Chinese players in the growth of IoT, including research and technology standardisation.

To address the challenges and opportunities ahead, a group of like-minded researchers has established the multi-disciplinary Next Generation of Internet of Everything (NGIoE) Lab, which aims to become the leading IoE innovation lab that accelerates knowledge creation, expertise development, and value creation for key stakeholders in the knowledge economy. The NGIoE Lab will also provide a collaborative platform where people from diverse backgrounds can come together to inspire, be inspired, and innovate the next generation of IoE technologies.

 Collectively the expertise available in the NGIoE ranges from mobile communications (5G, 6G), artificial intelligence / machine learning, indoor localisation, mobile satellite networks, VANET, MANET, IoT networks, intelligent routing, content-centric networks, blockchain IoT, wireless sensor networks, low-power and reliable embedded systems, real-time scheduling, and edge AI.


Mission and Vision



To be a leading IoE Innovation laboratory which accelerates knowledge creation, expertise development and value delivery to key stakeholders in the knowledge economy. We do that by facilitating a collaborative platform where people with diverse background can come together to inspire, be inspired and innovate.


Advancing human life, harmonising the environment with the Internet of Everything.


Key Objectives


1. Knowledge creation and expertise in the Internet of Everything domain – PhDs, Masters, FYPs
2. To provide training and consultancy especially to the local, domestic and international industries or research centres
3. Research collaborations with other domestic and international research organisations and industries


Areas of Interests

The area of research interest of NGIoE lab, non-exhaustive, is as follows:

  • Low-Power AI for IoT
  • Energy Harvesting for IoT
  • IoT Mobility Management
  • IoT Networking
  • IoT Smart Applications such as IoT Localisation...
  • IoT Data Analytics
  • Machine to Machine (M2M or Device to Device (D2D) communications
  • IoT Security and Interoperability
  • Cloud Environments
  • Edge computing
  • Sensor Actor Systems
  • Cyber-Physical Systems
  • Vehicle-to-everything (V2X)


Members and Expertise


Core members

Dr Chiew-Foong Kwong (Director)

Mobile networks (4G, 5G, wireless sensors), machine learning, electronic communications, radio propagation, satellite communication networks, VANET, IoT networking

Dr David Chieng (Co-Director)

IoT, mobile networks, wireless mesh networking, QoS networks, energy efficiency in wireless network, Indoor localisation, AI/ML/DL, digital transformation.

Dr Heng YU

Low-power and reliable embedded systems, Real-time scheduling, Edge AI.

Dr Pushpendu Kar

Wireless Sensor Networks, Internet of Things (IoT), Content Centric Networking, Blockchain.


The development of cuff-less non-invasive methods for blood pressure measurement


Associate members

Dr Minglei You

Internet of Things, Integrated Energy System, Multi-vector Energy Systems, Machine Learning, AI, Smart Grid, Signal Processing and Wireless Communication Networks.


Related Projects



Recent Publications

Journal Articles
Conference Articles