Deadline Date: 31 March 2026
The rapid advancement of engineering systems has led to increasing complexity, uncertainty, and the need for intelligent solutions in modeling, simulation, and decision-making. This special issue invites high-quality research that explores the cutting edge of intelligent modeling, simulation, and decision-making methodologies applied to a broad spectrum of engineering challenges. We are particularly interested in contributions that harness the power of artificial intelligence, machine learning, data science, uncertainty modeling, and advanced computational techniques to address intricate problems within engineering systems.
This issue aims to provide a platform for researchers and practitioners to present novel theoretical frameworks, innovative algorithms, and practical applications that enhance our ability to understand, predict, and control complex engineering phenomena. We encourage papers that demonstrate significant advancements in various engineering domains, such as civil, mechanical, aerospace, electrical, environmental, and manufacturing engineering, as well as interdisciplinary applications. Topics of interest include, but are not limited to:
Intelligent numerical methods for modeling complex engineering systems;
Uncertainty modeling and analysis in complex engineering systems;
Applications of machine learning and deep learning in engineering modeling and simulation;
Data-driven decision support systems for engineering applications;
Intelligent information fusion methods for complex engineering problems;
Hybrid intelligent systems for modeling and optimization;
Integration of intelligent modeling and simulation in decision support systems;
Human-in-the-loop and explainable AI for engineering decision-making;
Real-time monitoring, prediction, and health management of engineering systems.
By fostering the exchange of ideas across diverse engineering disciplines, this special issue seeks to drive the next generation of intelligent solutions for complex engineering systems, ultimately contributing to more robust, efficient, and adaptive designs and operations.
The rapid advancement of engineering systems has led to increasing complexity, uncertainty, and the need for intelligent solutions in modeling, simulation, and decision-making. This special issue invites high-quality research that explores the cutting edge of intelligent modeling, simulation, ... show more
Editorial board
