Guest Editor(s)
Dr. Aqeel Sahi
Email: aqeel.sahi@unisq.edu.au
Affiliation: School of Science, Engineering and Digital Technologies, University of Southern Queensland, Queensland, Australia
Homepage:
Research Interests: artificial intelligence and machine learning for computational networks and cyber-physical systems, modeling, optimization, security, edge intelligence, and real-world applications in smart and autonomous systems
Assoc. Prof. Shahab Abdulla
Email: shahab.abdulla@unisq.edu.au
Affiliation: School of Business, Law, Humanities and Pathways, University of Southern Queensland, Queensland, Australia
Homepage:
Research Interests: biomedical engineering, complex medical engineering, networked systems, intelligent control, computer control systems, robotics, artificial intelligence
Dr. Mohammed Diykh
Email: mohammed.diykh@unisq.edu.au
Affiliation: School of Business, Law, Humanities and Pathways, University of Southern Queensland, Queensland, Australia
Homepage:
Research Interests: artificial intelligence, applied computing not elsewhere classified, cybersecurity and privacy, applied computing
Dr. Muntadher Ali
Email: muntadher.ali@naps.edu.au
Affiliation: National Academy of Professional Studies, Sydney, Australia
Homepage:
Research Interests: UAV communication, resource allocation, and optimization
Summary
The rapid convergence of artificial intelligence (AI) with computational networks and cyber-physical systems (CPS) is transforming modern digital infrastructure, enabling intelligent, adaptive, and autonomous operations. This research area is critical for advancing smart systems across industries such as transportation, healthcare, energy, and communications.
This Special Issue aims to explore recent advances in AI-driven models, optimization techniques, and real-world applications in computational networks and cyber-physical systems. It focuses on integrating machine learning, deep learning, and intelligent algorithms with networked and physical environments to enhance performance, scalability, security, and reliability. The scope includes theoretical developments, system design, simulation, and practical implementations addressing challenges such as resource allocation, real-time decision-making, and system resilience. Contributions that bridge the gap between AI theory and deployment in next-generation smart and connected systems are particularly encouraged.
Suggested Themes:
· AI-enabled optimization in communication and computer networks
· Machine learning for cyber-physical system modeling and control
· Intelligent resource allocation and scheduling in distributed systems
· Security, privacy, and trust in AI-driven CPS and networks
Keywords
AI, CPS, computational networks, deep learning, machine learning, network optimization, intelligent systems, security and privacy
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