Dimitrios Chronopoulos

Dimitrios Chronopoulos is an Associate Professor in the Department of Mechanical Engineering at KU Leuven, Faculty of Engineering Technology. His research focuses on structural health monitoring, design optimization of composite and metamaterial structures, and wave propagation analysis for damage prognosis.

• Unit: Mecha(tro)nic System Dynamics (LMSD), Ghent and Aalst Campuses
• Research Affiliations: Leuven Centre for Affordable Sustainable Technology, LIM - KU Leuven Institute for Mobility

His work integrates physics-informed machine learning and computational modeling to address challenges in predictive maintenance of smart composite systems, including aircraft and wind turbine components. Recent projects emphasize digital twins, Bayesian frameworks, and ultrasonic sensor networks for real-time damage assessment.

Publications highlight trends in deep learning for SHM, topological phononic crystals, and multi-scale damage detection using hybrid models. He actively supervises students in advanced ultrasonic monitoring and predictive analytics.