→ Artificial Intelligence Advances in Computing Networks and Systems
→ Digital Twins: Transforming the Future of Modeling, Simulation, and Intelligent Systems
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Artificial Intelligence Advances in Computing Networks and Systems
A special issue of Computing&AI Connect (ISSN 3104-4719).
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Submission Deadline: October 31, 2025 |
Special Issue Editors
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Dr. Sufyan Almajali
Guest Editor
Computer Science Department, Princess Sumaya University, Amman, Jordan
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Dr. Mohamed Rahouti
Guest Editor
Department of Computer and Information Science, Fordham University, New York, USA |
Special Issue Information
This special issue will highlight recent research and developments at the intersection of artificial intelligence, computing networks, and systems.
Topics of interest:
The issue will cover a range of topics, including, but not limited to:
- AI-driven optimization and decision-making in network systems
- Machine learning applications in distributed and edge computing
- Intelligent architectures and autonomous computing
- AI-enhanced network security and management
- Applications in IoT, cloud computing, and smart systems
Target Audience
Researchers are invited to submit original research articles, reviews, and visionary perspectives relevant to the scope of the special issue.
Benefits of submitting by the deadline
- No article processing charges
- Complimentary language editing
For further details, please contact the editorial office at: info@scifiniti.com
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Digital Twins: Transforming the Future of Modeling, Simulation, and Intelligent Systems
A special issue of Computing&AI Connect (ISSN 3104-4719).
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Submission Deadline: May 31, 2026 |
Special Issue Editors
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Dr. Jian Tao
Lead Guest Editor
Texas A&M University, College Station, USA
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Dr. Edward Y. Hua
Co-Guest Editor
The MITRE Corporation, USA
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Aims and Scope
- To bring together original research, reviews, and case studies on digital twins across diverse domains from subject matter experts in academia, industry, and government.
- To highlight state-of-the-art technological advances, foundational breakthroughs, innovative solutions, and practical challenges in digital twin development and deployment.
Topics of interest
- Digital twin architectures and reference models
- Human-in-the-loop and human-centered digital twin systems
- Integration with AI, machine learning, and advanced analytics
- Verification, validation, and uncertainty quantification
- Data synchronization and real-time monitoring
- Cybersecurity, privacy, and ethical considerations
- Digital twins in diverse applications
- Standards, protocols, and interoperability
- System resilience, sustainability, and lifecycle analysis using digital twins
- Emerging application domains for digital twins
Benefits of submitting by the deadline
- No article processing charges
- Complimentary language editing
For further details, please contact the editorial office at: info@scifiniti.com
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