This laboratory focuses on research on inverse analysis in the field of computational mechanics, such as automatic design methods for structures, non-destructive testing based on AI technology, and estimation of flow fields using data assimilation technology. For example, we are conducting research on automatically creating structures that maximize stiffness, identifying the shape of cavities within structures based on machine learning technology, and research on high-precision flow field estimation analysis based on filter theory. Since we are examining content that cannot be analyzed using commercially available software, we basically create calculation programs for each and conduct numerical experiments.