Integration of measurement technology and advanced information processing for cutting- edge R&D activities including materials science

The purpose of this research area is to develop “Intelligent measurement-analysis methods” through coalition between measurement technologies and informatics and statistical mathematics sciences, and to apply them to deepen scientific knowledge and to solve social problems. Here, we aim to further advance the integration of various technologies for measurement and analysis with cutting-edge informatics and statistical mathematics in order to develop “Intelligent measurement-analysis methods”, which will enable us to detect physical quantities/material states, their changes, and latent factors that could not be found in the past. These methods will also enable us to real-time measurement of hitherto intractable objects under moving and functioning conditions.
Specifically, we will work on two main pillars to promote research. One pillar is to develop measurement-analysis methods which enable to obtain feature values of objects of interest and to process massive amounts of data rapidly and precisely by using a wide range of reverse analysis technologies, including data assimilation, sparse modeling, image analysis, and signal processing developed in informatics and statistical mathematics. The other pillar is the application of developed methods to concrete measurement issues for the discovery of new phenomena, elucidation of new theories, and acquisition of new knowledge in various fields of science and technology—such as those of materials; life, medicine, drug delivery, natural resources and energy, earth and space, and web space.
Through the work described above, we will not only pioneer new techniques for measurement and analysis but also contribute to the creation of scientific and technological innovation that helps to build an affluent society.