Francesco Cadini

Francesco Cadini, Associate Professor at Politecnico di Milano, specializes in structural health monitoring (SHM) and prognostics and health management (PHM). His research focuses on developing advanced methodologies for real-time system monitoring, failure prediction, and predictive maintenance, leveraging AI-driven diagnostics, physics-based models and digital twins. He also integrates machine learning and risk assessment techniques to enhance the reliability and design of mechanical and aerospace systems. His work involves close collaboration with industry and research institutions to improve the safety and efficiency of critical structures.