Call for Papers for a Special Issue on "AI-Driven Simulation and Neural Optimization for Smart Systems and Healthcare Applications"
Guest Editors:
Assoc. Prof. Dr Hoshang Kolivand
Head of Applied Computing Research Group
IEEE senior member
Liverpool John Moores University, UK
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Dr. Ata Jahangir Moshayedi
School of Information Engineering, Jiangxi University of Science and Technology, No
86, Hongqi Ave, Ganzhou, 341000, Jiangxi, China
IEEE senior member
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Prof. Tanzila Saba
Associate Director, Research and Initiative Center
Leader of Artificial Intelligence and Data Analytics Lab
Research Professor | IEEE Senior Member | HEA Fellow (UK)
Prince Sultan University, Riyadh, Saudi Arabia
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Dr. Shamsollah Ghanbari
Assistant Professor of Computer Science
Islamic Azad University, Iran
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Dr. Mohammed Ibrahim Khalaf
Dean, College of Science
Head of Quality Assurance and Academic Accreditation Unit
AL-Maarif University College, Iraq
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Background and Rationale:
Simulation has long played a foundational role in system design, optimisation, and predictive analysis across a range of engineering and scientific domains. In recent years, the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques into simulation pipelines has transformed traditional modelling paradigms. These intelligent systems can now automatically learn from data, optimise parameter spaces, adapt to real-time input, and deliver enhanced predictive capabilities in complex, uncertain environments.
In parallel, the advancement of neural network architectures—including deep learning, recurrent networks, and neuro-symbolic hybrids—has enabled the development of intelligent simulation frameworks capable of mimicking dynamic systems with unprecedented accuracy and computational efficiency. From digital twin platforms to healthcare simulators, these models allow for real-time interaction, adaptive control, and robust optimisation in domains where traditional approaches fall short.
This Special Issue aims to explore the next generation of simulation-driven design and decision-making, focusing on how AI-enhanced modelling, neural computation, and intelligent optimisation are being applied to real-world problems in healthcare, engineering design, smart environments, and cyber-physical systems.
Scope and Topics:
This Special Issue invites original research, review articles, and case studies related to (but not limited to):
- Simulation-based design optimisation using ML/AI
- Multi-objective and metaheuristic algorithms for smart systems
- Neural network-driven simulation frameworks
- AI and BCI systems integrated with virtual simulation
- Intelligent healthcare simulation models
- Deep learning models for dynamic system response prediction
- Digital twin systems and predictive modelling
- AI-assisted diagnostics and optimisation in biomedical systems
- Real-time simulation for autonomous system control
- Hybrid AI models for engineering simulation and decision support
Correspondence:
Lead Guest Editor
Assoc. Prof. Dr. Hoshang Kolivand
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Submission Deadline: January 1st, 2026