Organizers: Alexandra Bousia, Department of Business Administration, University of Thessaly, Greece
Email: albousia@uth.gr
The rapid convergence of Artificial Intelligence (AI), Digital Twins, and Computational Intelligence is transforming the design, monitoring, optimization, and autonomous operation of modern engineering systems. This symposium aims to bring together researchers and practitioners working on mathematical modeling, numerical methods, machine learning, optimization, simulation, and data-driven approaches for engineering applications. Topics of interest include, but are not limited to, digital twin technologies, predictive maintenance, intelligent manufacturing, Industry 4.0/5.0, cyber-physical systems, explainable AI, hybrid physics-informed and AI-based models, uncertainty quantification, optimization algorithms, and decision support systems.
The symposium welcomes both theoretical developments and practical applications in mechanical, civil, electrical, energy, transportation, aerospace, and industrial engineering, fostering interdisciplinary collaboration between applied mathematics, computational science, and engineering.