Journal
Discover Internet of Things
Discover Internet of Things is an open access journal publishing research across all fields relevant to the Internet of Things (IoT), providing cutting-edge findings to researchers,...
Data intelligence is currently a very important and hot research area, referring to the practice of using artificial intelligence and machine learning tools to analyze, gain knowledge, and insights from massive datasets, which can then be used to improve services and investments. The Internet of Things (IoT) is the main source of various type of data, but also provides a large amount of applications for data intelligence, such as assisted living, intelligent production, and activity monitoring. Researchers are working in developing various data intelligence tools, advanced techniques, and services to better analyze and secure IoT data, and support IoT applications. This special section aims to publish high-quality research papers in various aspects of data intelligence in IoT.
Keywords: Data intelligence, IoT, Machine learning, Artificial Intelligence
1. Deep learning for IoT
2. Unsupervised learning and clustering for IoT
3. Supervised learning and classification for IoT
4. Reinforcement learning for IoT
5. IoT Data mining
6. IoT Robust and dynamic optimization
7. IoT Visualization and analysis
8. Federated learning for IoT
9. IoT Data Intelligence in Security and Privacy
10. Security and Privacy in IoT Data Intelligence
Authors are to submit complete unpublished papers in the above, but not limited to the above topics of interest.
-
Tao Zhu
Associate Prof Tao Zhu, University of South China, China He received his B.E. degree from Central South University, Changsha, China, and Ph.D. degree from University of Science and Technology of China, Hefei, China, in 2009 and 2015 respectively. He is the principal investigator of several projects funded by the National Natural Science Foundation of China, etc. He is now the Chair of IEEE CIS Smart World Technical Committee Task Force on "User-Centred Smart Systems". His research interests include IoT, pervasive computing, assisted living and evolutionary computation. -
Wenjian Luo
Prof Wenjian Luo, Harbin Institute of Technology, China He received B.S. and Ph.D. degrees from the Department of Computer Science and Technology, University of Science and Technology of China, Hefei, China, in 1998 and 2003, respectively. His current research interests include computational intelligence and applications, network security and data privacy, machine learning, and data mining. He is a Distinguished Member of the CCF, a Senior Member of the ACM and the IEEE. He also serves as the Chair of the IEEE CIS ECTC Task Force on Artificial Immune Systems. -
Hansheng Lei
Prof Hansheng Lei, The University of Texas Rio Grande Valley, USA He received his B.S. from Ocean University of China in 1998, M.S. from University of Science & Technology of China in 2001, & Ph.D. from University at Buffalo in Dec 2005,all in computer science. He joined the Computer & Information Sciences Department at the University of Texas, Rio Grande Valley as an assistant professor in Jan 2006 & promoted to Professor in 2018. He was a visiting professor at the EECS department,US Military Academy,West Point June 2013-June 2014.His current research interests lie in data intelligence, cyber security, machine learning & computer vision.
