Artificial Intelligence/Machine Learning in Cyber-Physical Systems Design
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 June 2025 | Viewed by 1260
Special Issue Editors
Interests: networking; cyber-physical security; artificial intelligence/machine learning
Interests: intelligent control and management; optimization; cyber-physical systems; power systems
Special Issue Information
Dear Colleagues,
In the realm of Cyber-Physical Systems (CPS), the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques has emerged as a transformative force. CPS, which encompass interconnected systems that blend physical processes with computation and communication, stand at the forefront of technological innovation. AI and ML play a pivotal role in optimizing the design and operation of these systems, facilitating real-time decision making, enhancing efficiency, and ensuring robustness in the face of dynamic environments. As the complexity of CPS continues to increase across diverse domains such as power systems, smart cities, autonomous vehicles, healthcare monitoring, and industrial automation, the fusion of AI/ML techniques with CPS design is indispensable for tackling emerging challenges and harnessing new opportunities.
The aim of the Special Issue is to provide a platform for researchers and practitioners to delve into the intersection of AI/ML and CPS design, fostering discussions on cutting-edge methodologies, innovative applications, and theoretical advancements. This subject aligns seamlessly with the scope of our journal, which is dedicated to advancing interdisciplinary research at the nexus of computer science, engineering, and emerging technologies. By exploring the synergies between AI/ML and CPS, this Special Issue seeks to deepen our understanding of how intelligent systems can be effectively integrated into physical environments, paving the way for the development of more resilient, adaptive, and intelligent CPS solutions.
The scope of this Special Issue includes, but is not limited to, the following:
(1) AI-driven optimization techniques for CPS design and operation
(2) ML-based predictive modeling for fault detection and diagnosis in CPS
(3) Reinforcement learning approaches for autonomous control and decision-making in dynamic CPS environments
(4) Integration of AI/ML algorithms with Internet of Things (IoT) devices for enhanced sensing and actuation capabilities in CPS
(5) Implementation of AI/ML in power systems for improved control and performance, and resiliency improvements
(6) Ethical and societal implications of deploying AI/ML in CPS
(7) Case studies and practical applications showcasing the real-world impact of AI/ML integration in diverse CPS domains
Through this Special Issue, we aim to catalyze interdisciplinary collaborations and accelerate the advancement of intelligent CPS design paradigms.
We look forward to receiving your contributions.
Dr. Imtiaz Parvez
Dr. Anjan Debnath
Dr. M. Al Mamun
Guest Editors
Manuscript Submission Information
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Keywords
- cyber-physical system
- artificial intelligence
- machine learning
- intelligent system design
- IoT
- smart grids
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