Edge intelligence for the next generation Internet of Things
- Submission status
- Closed
- Submission deadline
The exponential growth and availability of mobile and Internet of Things devices is producing huge volumes of multi-modal data which need to be analysed in real time at the network edge, that is, near the data source itself instead of relying on the cloud. Edge Computing has enabled extensive computing capabilities to gain insights and make decisions at the edge of the network before the data is sent to the cloud. More recently, breakthroughs in deep learning have paved the way to a new emerging technology, Edge Intelligence, that is posed to revolutionise the computing landscape by combining advanced connectivity, compact processing power, and artificial intelligence located near devices that use and generate data. How to migrate the conventional big data architecture to the new edge context raises new challenges in its decentralised management and security.
This Collection aims to stimulate discussion and highlight original research in the field of Edge Intelligence for the next generation Internet of Things and intends to provide a timely venue for engineers, researchers, and industrial professionals to showcase their latest solutions, new emerging trends, and state-of-the-art applications in engineering and any other IT fields which may benefit from the edge computing paradigm.
Editors
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Zonghua Gu
Umeå University, Sweden
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Stefano Ricciardi
University of Molise, Italy
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Shaohua Wan
Zhongnan University of Economics and Law, China
Zonghua Gu is currently a Professor in the Department of Applied Physics and Electronics, Umeå University, Sweden. He received his Ph.D. degree in Computer Science and Engineering from the University of Michigan at Ann Arbor in 2004. His research area is in Cyber-Physical Systems, real-time embedded systems, and machine learning. Prof Gu joined Scientific Reports as an Editorial Board Member in 2021.
Stefano Ricciardi is currently a research fellow at the University of Molise, Italy. He received his M.Sc. degree in Informatics, and Ph.D. degree in Sciences and Technologies of Information and Complex Systems, from the University of Salerno, Italy. His main research interests include pattern recognition, biometry, virtual/augmented/mixed reality and human-computer interaction. Dr Ricciardi joined Scientific Reports as an Editorial Board Member in 2021.
Shaohua Wan is currently an Associate Professor at Zhongnan University of Economics and Law, China. His main research interests include deep learning for Internet of Things and Edge Computing. He is an author of over 130 peer-reviewed research papers and books, including over 40 IEEE/ACM Transactions papers such as TII, TITS, TOIT, TMM, TOMM, PR, etc. and many top conference papers in the fields of Multimedia. He is a senior member of the IEEE. Prof Wan joined Scientific Reports as an Editorial Board Member in 2021.
