Shiga Motoki

シガモトキ | Shiga Motoki

Affiliation and department：
Job title： Professor
Homepage URL (1)： https://www.shiga-lab.org/

Research field (5)： Mathematical informatics , Intelligent informatics , Biological, health, and medical informatics , Statistical science , Information theory

Research keywords (19)：計測インフォマティクス , Materials Informatics , Material Informatics , Statistical Machine Learning , Chemoinformatics , 遺伝子発現量 , 統計的検定 , 生物ネットワーク , Bioinformatics , 行列分解 , 頻出パターンマイニング , 遺伝子機能解析 , 遺伝子ネットワーク , データ統合 , Data Mining , Machine Learning , 教師有り学習 , クラスタリング , 半教師あり学習

Research theme for competitive and other funds (29)：

2021 - 2025 ナノ電子プローブ実・逆空間走査による統合データ駆動型材料物性解析
2020 - 2025 Supervision and research support based on a platform for hyper-ordered structures science
2020 - 2025 Comprehensive analysis of hyper-ordered structures based on mathematics and informatics
2020 - 2023 High-order many body correlation analysis of network forming glass based on comprehensive integration of experimental, theoretical and data sciences
2019 - 2023 AIを導入したマテリアルズインフォマティクスによる巨大光吸収半導体の開発

2016 - 2020 物質・材料の微細構造計測におけるインフォマティクス技術の開拓

2016 - 2020 複数データセットの効率的統合に基づく機械学習法

2016 - 2020 Statistical Machine Learning to combine multiple datasets

2016 - 2020 Machine Learning to combine multiple datasets

2016 - 2018 Machine Learning for Materials Informatics

2016 - 2017 高次元データ解析における統計的機械学習法の開発

2012 - 2016 Estimating data structure embedded in semi-structured data

2015 - 2016 Biological Data Analysis Based on Statistical Machine Learning Approach

2015 - 2016 Genetalized Noise Model on Tensor Factorization with Auxiliary Information

2015 - 2016 補助情報を用いるテンソル因子化法における雑音モデルの一般化

2014 - 2016 Statistical Machine Learning for Efficient Screening on Material Design

2013 - 2016 Statistical Machine Learning with Heterogeneous Auxiliary Information

2014 - 2015 Data Mining for Gene Regulatory Mechanisms

2014 - 2015 Bioinformatics with Auxiliary Biological Knowledge

2013 - 2015 Statistical Machine Learning with Heterogeneous Auxiliary Information

2014 - 2015 材料設計における効率的スクリーニングのための機械学習法

2013 - 2014 Data Mining for Gene Regulatory Mechanisms

2013 - 2014 Co-clustering of Biological Datasets for Personalized Medicine

2013 - 2014 Co-Clustering for Heterogeneous Simultaneous Measuring Datasets

2007 - 2010 生命科学上の非構造化データの統合マイニング

2008 - 2010 Integrative Data Mining for Analyzing Biological Networks

2008 - 2009 Integrative data mining for analyzing biological networks

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Papers (68)：

Hiroyuki Inoue, Atsunobu Masuno, Motoki Shiga, Yasuhiro Watanabe. Nearly close-packed atomic arrangements in BaTi2O5 glass. Scripta Materialia. 2024. 252
Motoki Shiga, Taisuke Ono, Kenichi Morishita, Keiji Kuno, Nanase Moriguchi. Fast computational approach with prior dimension reduction for three-dimensional chemical component analysis using CT data of spectral imaging. Microscopy. 2024
Akihiko Hirata, Shuya Sato, Motoki Shiga, Yohei Onodera, Koji Kimoto, Shinji Kohara. Direct observation of the atomic density fluctuation originating from the first sharp diffraction peak in SiO2 glass. NPG Asia Materials. 2024. 16. 1
Yui Muto, Takumi Nakaso, Motoya Shinozaki, Takumi Aizawa, Takahito Kitada, Takashi Nakajima, Matthieu R. Delbecq, Jun Yoneda, Kenta Takeda, Akito Noiri, et al. Visual explanations of machine learning model estimating charge states in quantum dots. APL Machine Learning. 2024. 2. 2
Yuta Shuseki, Shinji Kohara, Tomoaki Kaneko, Keitaro Sodeyama, Yohei Onodera, Chihiro Koyama, Atsunobu Masuno, Shunta Sasaki, Shohei Hatano, Motoki Shiga, et al. Atomic and Electronic Structure in MgO-SiO₂. The Journal of Physical Chemistry A. 2024

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MISC (7)：

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Books (2)：

Nanoinformatics
Springer 2018 ISBN:9789811076176
脳神経システム解析のための数理アルゴリズム
オーム社 2006

Lectures and oral presentations (29)：

スペクトルイメージング解析のための統計的機械学習
(第6回兵庫県マテリアルズ・インフォマティクス講演会 2021)
物質・材料科学のための機械学習
(ガラスデータベースINTERGLAD第1回勉強会 2021)
Intermediate-Range Ordering in Glassy Materials Revealed by Statistical Analysis of Ring Characterizations
(The 2nd International Workshop on Hyper-Ordered Structures 2021)
分光スペクトル解析のための統計的機械学習
(日本顕微鏡学会第77回学術講演会 2021)
微細構造計測データ解析のための統計的機械学習
(近畿化学協会コンピュータ化学部会公開講演会(第110回例会) 2021)

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Professional career (1)：

Ph.D. (Engineering) (Gifu University)

Work history (13)：

2024/05 - 現在 National Institute for Materials Science Photoemission Spectroscopy Group, Advanced Materials Characterization Field, Center for Basic Research on Materials Invited chief researcher
2023/04 - 現在 Tohoku University Applied Information Sciences, Graduate School of Information Sciences Department of Applied Information Sciences Professor
2022/10 - 現在 Osaka University Research Center for Ultra-High Voltage Electron Microscopy Guest Professor
2022/05 - 現在 Tohoku University Unprecedented-scale Data Analytics Center Professor
2018/06 - 現在 RIKEN Center for Advanced Intelligence Project Visiting researcher

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Committee career (9)：

2019/04 - 現在日本顕微鏡学会顕微鏡計測インフォマティックス研究部会幹事
2018/04 - 2020/03 日本応用数理学会・機械学習研究部会主査
2016/04 - 2018/03 日本応用数理学会・機械学習研究部会幹事
2014/04 - 2017/03 日本化学会情報化学部会・若手の会コアメンバー
2016 - 2016 第19回情報論的学習理論ワークショッププログラム委員

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Awards (3)：

2020/06 - The Ceramic Society of Japan ward of the Outstanding Papers Award of the Outstanding Papers Published in the JCS-Japan in 2019
2015/08/17 - Dream Challenges a Top Performer of DREAM 9.5 Prostate Cancer DREAM Challenge, Sub-Challenge 1-b.
2005/01/31 - 電気関係学会東海支部平成 16 年度連合大会奨励賞

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