Special Issue "AI-Powered Data Management and Analysis for Cyber-Physical-Systems"

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: 31 January 2024 | Viewed by 237

Special Issue Editors

College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China
Interests: big data; recommender systems
Special Issues, Collections and Topics in MDPI journals
Faculty of Data Science, Shiga University, Kyoto 520-0002, Japan
Interests: ubiquitous computing; big data; machine learning; behavior and cognitive informatics; cyber-physical-social systems
Special Issues, Collections and Topics in MDPI journals
Department of Computing, Macquarie University, Sydney, Australia
Interests: cloud/edge computing; scalable machine learning; data privacy and cybersecurity
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The tight coupling between the cyber and physical worlds is promoting the accumulation of huge amounts of data from multiple areas, which could be appropriately managed and leveraged to improve the performance of CPSs (cyber-physical systems). However, the increasing scale and complexity of big CPS data make it a non-trivial task to cope with prospective failures and performance problems in data management. Moreover, they also raise an urgent need for efficient big data analytic methods, to provide a deeper understanding and better decision making based on the distributed and large-scale CPS data.

In view of these challenges, artificial intelligence (AI) and machine learning (ML) have found ways to improve the reliability and security of CPS data management, as well as improve the performances of CPS applications. In particular, several open source and proprietary solutions have been proposed to meet these requirements, with extensive contributions from industry and academia. However, there remain substantial challenges in AI-powered CPS applications, such as scalable data management, secure data sharing and self-management capabilities, etc.

In this Special Issue, we welcome submissions addressing the underlying challenges and opportunities, presenting novel techniques, experimental results, or theoretical approaches motivated by data management and analytic problems raised in AI-powered CPS applications.

Topics of interest for this Special Issue include but are not limited to the following:

  • Intelligent query optimization for big CPS data management;
  • Machine-learning-based CPS data analytics;
  • Smart analysis, modeling, and visualization of big CPS data;
  • Operational analytics and intelligence of big CPS data;
  • Anomaly detection and exception handling in CPS;
  • Predictive and real-time analytics in CPS;
  • Security and privacy of big data in CPS;
  • Trust management and threat detection in CPS;
  • Other AI-based data management solutions.

You may choose our Joint Special Issue in Systems.

Prof. Dr. Lianyong Qi
Dr. Xiaokang Zhou
Dr. Xuyun Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers

This special issue is now open for submission.
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