Imaging with Unstructured Adaptive Meshes

This course aims to teach learners how to address imaging problems involving numerical solutions of partial differential equations or integral equations by utilizing mesh adaptation as part of the inverse problem. The course covers topics such as approximation error, CT attenuation, source problems, measuring principles, prior models, log-posterior theory, IIAS algorithm, sparse representations, and analog meshing. The teaching method involves a seminar-style talk by an expert in the field. This course is intended for individuals interested in advanced imaging techniques and inverse problems in various applications.