Call for Papers for a Special Issue on "Innovative Multiscale Optimization and AI-Enhanced Simulation for Advanced Engineering Design and Manufacturing"

Guest Editors:

Prof. Dr. Sohail Nadeem (Lead GE)
Quaid-I-Azam University
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Prof. Dr. Sohail Nadeem currently works at the Department of Mathematics, Quaid-i-Azam University. His ISI papers and citations are over 25000. He supervised 34 Ph.D and more than 115 M.Phil graduates. He has received many international and national awards. He is a fellow of the Pakistan Academy of Sciences and a young fellow of the World Academy of Sciences. His main research areas are Applied Mathematics, Differential Equations, Fluid Mechanics, Blood Flow, Peristaltic flows, Nano fluids.

Dr. Sajjad Ur Rehman
Quaid-I-Azam University
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Dr. Sajjad Ur Rehman is currently an Assistant Professor in the Department of Mathematics at Quaid-I-Azam University, Islamabad, Pakistan. Prior to this, he was a Postdoctoral Fellow at Sogang University, Seoul, South Korea, from September 2019 to July 2020, where he focused on numerical simulations using the commercial software Star-CCM+. His research interests include Numerical Simulation; Finite Difference method; Fourier Analysis; Projection method; Direct Numerical Simulation; Physics of particle-laden flow; Numerical investigation of polymer-laden turbulence.

Dr. Noreen Sher Akbar
Prince Mohammad Bin Fahd University
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Dr. Noreen Sher Akbar is a Research Professor at the Department of Mechanical Engineering, College of Engineering, Prince Mohammad Bin Fahd University, Saudi Arabia, a position she has held since June 2024. Dr. Akbar has an impressive research portfolio, with over 370 publications in internationally reputed journals, accumulating an impact factor exceeding 2000 and more than 15,000 citations. Her H-index stands at 68, reflecting the significant influence of her work in the field. Her research interests include nanofluids, Newtonian and non-Newtonian fluid dynamics, peristaltic flows, fluid interactions in arteries, porous media, and magnetohydrodynamic (MHD) flows.

Background and Motivation:

The field of engineering design optimization is rapidly advancing, driven by new computational techniques, artificial intelligence (AI), and the application of multiscale methods. As industries such as aerospace, automotive, and manufacturing increasingly demand more efficient, cost-effective, and sustainable solutions, the integration of optimization techniques with modern AI, machine learning (ML), and simulation methods offers unprecedented opportunities. This special issue seeks to bring together the latest research on AI-driven design optimization, multiscale simulation, and their industrial applications. We invite original papers that highlight innovative advancements in these fields, with a focus on their real-world engineering applications.

This special issue welcomes contributions that address both theoretical and applied aspects of engineering design optimization, particularly in the context of modern AI techniques and multiscale methods. Submissions are invited that explore, but are not limited to, the following topics:

1. Multiscale Optimization and Simulation Techniques
• Development of multiscale methods for material and structural optimization (nano, micro, and macro scales).
• Optimization strategies for advanced manufacturing techniques like additive manufacturing (3D printing), composite materials, and nanomaterials.
• Coupled simulations at multiple scales for complex systems, including simulations of material behavior, structural integrity, and performance under varying conditions.
2. Artificial Intelligence and Machine Learning in Optimization
• Application of machine learning algorithms (e.g., deep learning, reinforcement learning) in optimization tasks, from design space exploration to decision-making.
• Integration of AI-driven surrogate models for fast and accurate predictions in complex optimization problems.
• Data-driven optimization methods in material design, aerospace engineering, automotive systems, and other industrial applications.
3. Optimization for Advanced Manufacturing Processes
• Optimization of processes such as additive manufacturing, composite material fabrication, and smart manufacturing systems.
• The role of optimization in designing for manufacturing (DFM) and ensuring product quality through process optimization.
• Case studies on industrial applications of simulation-based optimization in modern manufacturing environments.
4. Dynamic and Vibration-Based Optimization
• Optimization methods for dynamic systems and vibration control in structures and mechanical systems.
• Applications in automotive design (e.g., NVH—noise, vibration, and harshness), aerospace components, and civil engineering structures.
• Design of resilient structures and materials with improved vibration damping and dynamic load-bearing capacities.
5. Industrial Applications and Case Studies
• Real-world applications of optimization, simulation, and AI in industries such as aerospace, automotive, energy, and manufacturing.
• Integration of optimization methods with product lifecycle management (PLM) tools for efficient design and production.
• Practical case studies of multiscale, AI-enhanced optimization techniques applied to solve industry-specific challenges.

Objectives:

The primary goal of this special issue is to bridge the gap between advanced theoretical optimization methods and practical engineering applications. We aim to highlight the latest advancements in multiscale optimization, AI-driven approaches, and their applications in manufacturing and design. By bringing together state-of-the-art research and real-world case studies, this issue will contribute to the development of more efficient, sustainable, and innovative engineering solutions.

Submission Deadline: August 31, 2026