Name | KAWAI Takazumi |
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Official Title | Professor |
Affiliation | Department of Design and Data Science, Faculty of Design and Data Science |
tkawai@tcu.ac.jp | |
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Profile | Our research interests have primarily centered around atomic-scale simulations for predicting the properties of carbon-based materials, particularly those with potential applications in electronic devices and battery electrodes. Specifically, we have focused on studying the dynamical processes and property changes that occur under external electric fields, such as surface diffusion and chemical reactions. More recently, we have turned our attention to analyzing time series data with the aim of detecting anomalies that may indicate system failure or breakdown. To achieve this, we have adopted a system invariant analysis technology (SIAT) that enables us to identify changes in the usual relationships among sensors by constructing their corresponding network graphs. This approach has proven highly effective in detecting anomalous behavior, as it is much more robust against system noise and changes in operations that might otherwise result in false positives. |
Research Field(Keyword & Summary) |
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Award | Inoue Research Award for Young Scientists |
Grant-in-Aid for Scientific Research Support: Japan Society for Promotion of Science (JSPS) | https://nrid.nii.ac.jp/nrid/1000030455571/ |
Affiliated academic society (Membership type) | American Physical Society Physical Society of Japan The Japan Society for Industrial and Applied Mathematics The Fullerens, Nanotubes and Graphene Research Society Information Processing Society of Japan |
Education Field (Undergraduate level) | Data Science |
Education Field (Graduate level) | Data Science, Material Physics |