coordinated by Alexandre Kawano (Escola Politecnica, University of São Paulo, Brazil) and Antonino Morassi (University of Udine, Italy)

“(…) In this course we aim to provide a review of recent developments of inverse problems for mechanical systems. The topics will range from advanced techniques for damage detection and source identification in structures, dynamic methods for model updating and active vibration control, photo-acoustic imaging using resonating nanoparticles, the use of nanostructures as mass resonant sensors, probabilistic and deep learning-based methods, with attention to the computational and experimental aspects relevant for practical applications.

(…) The objective is to provide the audience with a solid theoretical framework, mathematical tools needed to tackle specific classes of inverse problems, computational tools, and experimental evidence to better understand the most recent advances on the subject including those involving probabilistic deep learning.”