Sustainability-Centered Data Sensing and Processing

  in Special Issue   Posted on September 28, 2020

Information for the Special Issue

Special Issue Call for Papers:

Sustainability-centered technologies typically made of network-enabled sensors/actuators and intelligent computational algorithms can be very effectively utilized for sensing, analyzing and building better environments. We have seen extensive research on the sensing and algorithms aspects of smart technologies, which has resulted in the development of various exciting new systems that improve efficiency, reduce cost, and/or make our environment more sustainable. The purpose of this special issue is to provide a forum for presentation and discussion of innovative ideas, cutting edge research results, and novel techniques, methods and applications sensing and data processing aspects of sustainability. It includes selected papers from 2020 International Conference on Applications and Techniques in Cyber Intelligence (ATCI2020) June 21-22 2020 Fuyang as well as an open call (http://atci2020.fynu.edu.cn/). Topics of interests include, but are not limited to:

  • Design and implementation of various applications in sustainable Computing, such as energy efficiency, IoT, smart environments, agriculture, low-emission infrastructures, etc.
  • Alert and alarm generation algorithms for sensing techniques in sustainable computing
  • Personalized feedback and intervention for sustainability-centered applications and techniques
  • Machine learning algorithms for personalized interface and decision making in sustainability-centered applications in sustainable computing
  • User behaviors in sustainability-centered applications and techniques

The submitted papers must be original and must not be under consideration in any other venue. All submitted papers will be reviewed by at least three reviewers and selected based on their originality, significance, relevance, and clarity of presentation. The editors will approve final decisions on accepted papers. Manuscripts must be prepared according to the following journal’s Author Guidelines. Prospective authors should submit full manuscripts with MS Word format or PDF format.

Important Dates

first submission:December 31, 2020

review:February 1, 2021

rejection/revision: March 1, 2021

acceptance/rejection: May 1, 2021

Guest Editors:

Prof. Zheng Xu, Shanghai University, China, zhengxu@shu.edu.cn (Lead GE)

Prof. Jinghua Zhao, University of Shanghai for Science and Technology, China, zhaojinghua@usst.edu.cn

Dr. Chuanchao Huang, Huazhong University of Science and Technology, China, carlos_huang@alumni.hust.edu.cn

Zheng Xu was born in Shanghai, China. He received the Ph.D. degrees from the School of Computing Engineering and Science, Shanghai University, Shanghai, in 2012. He is currently the associate professor in Shanghai University, China. His current research interests include wireless communications, CPS, and mobile crowd sensing with over 2,200 citations (H-index 23). He has authored or co-authored more than 90 publications including IEEE Trans. On Fuzzy Systems, IEEE Trans. On Automation Science and Engineering, IEEE Trans. On Emerging Topics in Computing, IEEE Trans. on Systems, Man, and Cybernetics: Systems, IEEE Trans. On Cloud Computing, IEEE Trans. on Big Data etc. He is also the associate editor of IEEE Access journal, Springer ECR journal, and TSI AutoSoft journal. The paper titled “Ensemble-based multi-filter feature selection method for DDoS detection in cloud computing” obtained EURASIP Best paper awards 2019.

Jinghua Zhao, an Associate Professor in Information Management and Information System in school of Business, University of Shanghai for Science and Technology. She got the Ph.D. degree in 2013 from Tongji university. And she was also a visiting scholar at University of North Carolina at Greensboro, the visiting funded by China Scholarship Council. He has published more than 20 papers which indexed by SCI and EI.

Chuanchao Huang obtained Ph.D. degree from School of Management in Huazhong University of Science and Technology, China. His research interests include machine learning, artificial intelligence, simulation model under multimedia information and computing organization. He now works at Research Institute of China Merchants Bank.

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