Special Issue on AI-Driven Innovations in Cyber-Physical Systems: Advancements, Challenges, and Ethical Considerations Submission Date: 2024-12-13 The proposed special issue, titled "AI-Driven Innovations in Cyber-Physical Systems: Advancements, Challenges, and Ethical Considerations," aims to delve into the intricate relationship between Artificial Intelligence (AI) and Cyber-Physical Systems (CPS) across diverse domains. By gathering a variety of papers focusing on the intersection of AI and CPS, the issue will explore topics such as control systems, security, energy management, healthcare, manufacturing, and smart cities. This collection will highlight the dynamic synergy between AI and CPS, offering novel insights and pushing the boundaries of existing knowledge. With a focus on the rapid evolution of AI technologies within CPS and the inclusion of ethical considerations, this special issue aims to fill a void in the current research landscape. Aligned with the mission of the journal, the issue caters to a broad audience of researchers, practitioners, and policymakers interested in the interdisciplinary nature of AI and CPS. By addressing practical implications and ethical concerns, this collection seeks to provide valuable insights to professionals and academics alike. Overall, "AI-Driven Innovations in Cyber-Physical Systems" aims to contribute significantly to the field while resonating with the readership of the journal.

Guest editors:

Assist. Prof. Antonio Galli (Executive Guest Editor)

Department of Electrical Engineering and Information Technologies, University of Naples, Italy

Email: antonio.galli@unina.it

Areas of Expertise: deep learning and big data analytics for industrial applications

Prof. Vincenzo Moscato

Department of Electrical Engineering and Information Technologies, University of Naples, Italy

Email: vmoscato@unina.it

Areas of Expertise: multimedia, knowledge management and big data analytics

Prof. Mouzhi Ge

Deggendorf Institute of Technology, Germany

Email: mouzhi.ge@th-deg.de

Areas of Expertise: big data analytics, intelligent healthcare systems, internet of things and recommender systems

Manuscript submission information:

Tentative Schedule:

Submission Open Date: June 13, 2024

Submission Deadline: December 13, 2024

Notification of Acceptance: January 31, 2025