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As a further application of high-precision and high-quality biosensing data related to humans, machine learning and data assimilation will be used for modeling with high precision. This aims to acquire new insights into the new biosensing data that has never been obtained and to create new applications. In addition, features of biosensing data are extracted that contribute to physical analysis. This section aims to create a new academic field that integrates computational science and data science and provides feedback to the Computational Science section in the development of new technology.
Keyword：Multi-modality; machine learning; data assimilation
Members
| Gohei Tanaka | Department of Computer Science | Professor | HP |
| Hidetaka Hontani | Department of Computer Science | Professor | HP |
| Daisuke Anzai | Department of Electrical and Mechanical Engineering | Associate Professor | HP |
| Tatsuya Yokota | Department of Computer Science | Associate Professor | HP |
| Yuji Tanaka | Department of Electrical and Mechanical Engineering | Assistant Professor | HP |
