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) will be jointly organising and supporting a special session for 16th IEEE International Conference on Developments in eSystems Engineering, taking place in Istanbul, Turkey.
Special Session Title: Emerging, innovative and intelligent Industrial/Internet of Things (IoT)-based smart solutions for various industrial applications.
Session Chair/s (Title, Name):
Dr Muhammad Ateeq, School of IoT, XJTLU, China
Session Co-Chair/s (If Applicable):
Dr Aris Alexoulis-Chrysovergis, MMU, UK
Mr Omid Teimoori, Didactic Services Ltd, UK
Dr Matilda Isaac, School of IoT, XJTLU, China
Session Committee:
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
Synopsis: 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.
Topics: 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:
Paper Submission: 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. Please see details below for key information and link to the conference webpage where you can submit your paper and find further details on the conference.
Conference webpage: https://dese.org.uk/dese-2023/.
Conference paper submission: https://dese.org.uk/dese-2023-paper-submission/.
Registration: https://dese.org.uk/dese-2023-registration/.
Important dates:
Submission of papers 15/8/2023
Notification of acceptance One Month After Submission
Submission of camera-ready papers 15/10/2023
Author online registration 15/11/2023
About DeSE: DeSE2023 will provide a leading forum for disseminating the latest results in eSystem Development, AI, Sensors, and Industry 4.0.
Currently a high level of interest is being generated through the development of a wide end varied range of eSystems. There are many high-profile projects, all around the world, seeking to transfer many services and facilities into state-of-the-art electronic technologies.
