Mathematical Foundations and Interdisciplinary Collaboration in Measurement Informatics
| Reference No. | 2026a028 |
|---|---|
| Type/Category | Grant for General Research-Workshop(Ⅱ) |
| Title of Research Project | Mathematical Foundations and Interdisciplinary Collaboration in Measurement Informatics |
| Principal Investigator | Tomokazu Yamamoto(Kyushu University・Associate Professor) |
| Research Period |
October 9,2026. -
October 9,2026. |
| Keyword(s) of Research Fields | Mathematical Statistics, Mathematical Modeling, Uncertainty Quantification (UQ), Data Assimilation, Multimodal Measurement, Machine Learning, Denoising, Electron Microscopy, Synchrotron Radiation, and Spectroscopy |
| Abstract for Research Report |
Objective In recent years, a new research area—often referred to as measurement informatics—has emerged, aiming to achieve breakthroughs through the deep integration of measurement technologies and data analysis, beyond what each can accomplish independently. Advances in data analysis are fundamentally supported by principles and theoretical guarantees provided by mathematics and statistics. Conversely, challenges arising from real-world measurement problems can also stimulate new developments in these mathematical and statistical disciplines. In this workshop, we focus on the mathematical foundations of measurement principles and data analysis that are not confined to any specific application domain, with the aim of fostering interdisciplinary collaboration. In particular, we address mathematical problems related to the integration of heterogeneous data and seek to identify common structures underlying different approaches such as multimodal measurement and data assimilation. Expected Outcomes (1) Networking among researchers The workshop will serve as a hub for researchers from academia and industry with diverse backgrounds to exchange up-to-date knowledge and ideas. It will also provide opportunities for participants to develop new collaborations. By promoting mutual recognition among researchers and encouraging the cross-referencing of research outcomes, the workshop is expected to contribute to the maturation of the measurement informatics community. Furthermore, as measurement informatics provides guidance not only for post-processing data analysis but also for the design of next-generation measurement systems, the workshop will stimulate interaction across academia and industry, including fields such as synchrotron spectroscopy and electron microscopy. (2) Identification of common mathematical challenges and shared problem formulation Through discussions at the workshop, we will identify and organize common mathematical challenges arising in multimodal measurement and data assimilation, including mathematical modeling, uncertainty quantification, and statistical inference. By articulating these challenges as cross-disciplinary problem settings, the workshop aims to establish a foundation for future collaborative research. |
| Organizing Committee Members (Workshop) Participants (Short-term Joint Usage) |
Masanobu Shiga(Kochi University・Associate Professor) Takeharu Sugiyama(Kyushu University・Professor) Keiko Kojima(Kyushu University・Assistant Professor) Yuto Tomita(Kyushu University・Assistant Professor) Hideaki Iwasawa(National Institutes for Quantum Science and Technology・Senior Principal Researcher) Satoru Tokuda(Kyushu University・Associate Professor) |