We are glad to announce that the academics from the School of IoT, Xi’an Jiaotong-Liverpool University (XJTLU), China and Manchester Metropolitan University (MMU), United Kingdom (UK)
Dr Muhammad Ateeq, School of IoT, XJTLU, China
Dr Aris Alexoulis-Chrysovergis, MMU, UK
Mr Omid Teimoori, Didactic Services Ltd, UK
Dr Matilda Isaac, School of IoT, XJTLU, China
Dr Wenzhang Zhang, School of IoT, XJTLU, China
Dr Bintao Hu, School of IoT, XJTLU, China
Dr Hadyan Hafizh, School of IoT, XJTLU, China
Dr Karim Moussa, School of IoT, XJTLU, China
Dr Olukunle Mobolaji Akinola, School of IoT, XJTLU, China
Dr Anwar PP Majeed, School of Robotics, XJTLU, China
Internet of Things (IoT) and Industrial IoT is a rapidly growing field and in recent years has been at the forefront of digitalisation and digital transformation to create smart solutions with the help of intelligent internet of “things”. As we are aware, IoT uses smart sensors and actuators to collect data generated by range of products, processes and services across broad range of applications, which is then communicated for real-time data analytics and ultimately to drive business decisions faster, accurately, proactively and predictively.
IoT however faces multitude of challenges as a result of interaction and interfaces between the digital and physical products, processes and services. In addition to the hardware, software, communication and networks driving the design and delivery of the IoT-based smart solution, the real-world products, processes and services generate large amount of data that is all around us at all times. Such a data may
be coming from whole range of different sources, examples of some of them include data from weather station to environment, from machines to manufacturing processes, from industrial products and services to consumer electronics, from logistics to supply chain, from healthcare devices to wearable technologies, from energy devices to large energy production facilities, from intelligent vehicles to intelligent transportation, from robots to industrial co-bots, from smart cities to smart grids, from smart homes to intelligent buildings, from defense to mining, the list is endless. IoT join these dots by meaningfully processing, storing and displaying the data.
AIoT is converging Artificial intelligence (AI) and IoT, bringing intelligence and decision-making to the next level where data is not only useful but also more meaningful for improved decision-making, where processing is done at places where they are most needed and results from it drive business intelligence, operation and control.
This special session invites authors from range of different backgrounds such as education and industry to submit high-quality research papers and original work on emerging and innovative IoT engineering and applications alongside the use of AI to enable these developments. The paper could be representing different stages of research and development, i.e. from intermediate to final results. The emphasis would be on the research and development of theories, techniques and solutions for real-world problems and applications, specifically in the areas such as healthcare, manufacturing, energy, environment and transportation. Contributions are invited in the areas that include but not limited to:
- IoT-based networks.
- Advancements in RF and high frequency communication technologies for IoT.
- V2X in IoT-enabled communication infrastructures.
- 5G/6G Cloud/Edge/Fog computing Space-Air-Ground Integrated Networks for IoT
- Manufacturing Execution Systems.
- Low cost IIoT solutions for SMEs.
- OT-IT convergence and IIoT.
- IoT and digital twins.
- Smart manufacturing, smart healthcare, smart environmental monitoring.
- IoT-based monitoring and control of energy production and energy efficiency.
- Cloud and edge technologies for IoT applications.
- Convergence of IoT and AI for intelligent manufacturing.
- IoT and AI for intelligent transportation and autonomous vehicles.
- Intelligent blockchain for IoT
- Security and ethical issues in IoT.
Prospective authors are invited to submit full-length papers (not exceeding 6 pages) conform to the IEEE format . All papers will be handled and processed electronically via the EDAS online submission system.