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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
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

Important Deadlines:

Submission Deadline – January 1st 2026
Manuscript Submission Deadline – Jan 2026
First Round of Reviews – Jan–Feb 2026
Final Decision and Revisions – March–April 2026
Online Publication – Starting May 2026

Promotion Strategy:

To maximise outreach and submission quality, the Guest Editors will promote the Call for Papers through:

TioTC 2025 – The International Conference on IoT and Cloud Computing
(Chair: Dr. Hoshang Kolivand; 124 submissions in 2025)
DCHPC – Distributed Computing and High-Performance Computing
(Co-chaired by Dr. Shamsollah Ghanbari)
WiDS-PSU – Women in Data Science, Prince Sultan University Edition
(Organised by Prof. Tanzila Saba; 120+ annual submissions)
Outreach through IEEE/ACM mailing lists, LinkedIn groups, and institutional newsletters
Direct invitations to top authors of relevant papers in recent conferences and targeted authors of related journals

Correspondence:

Lead Guest Editor
Assoc. Prof. Dr. Hoshang Kolivand
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