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J-GLOBAL ID:200901009973389845   Update date: Dec. 11, 2019

SHIGA Motoki

シガ モトキ | SHIGA Motoki
Affiliation and department:
Job title: Associate Professor
Homepage URL  (1): http://www1.gifu-u.ac.jp/~siglab/index.html
Research field  (7): Theory of informatics ,  Statistical science ,  Life/Health/Medical informatics ,  Intelligent informatics ,  Statistical science ,  Mathematical informatics ,  Life/Health/Medical informatics
Research keywords  (7): Materials Informatics ,  Machine Learning ,  Data Mining ,  Bioinformatics ,  Chemoinformatics ,  Statistical Machine Learning ,  Material Informatics
Research theme for competitive and other funds  (17):
  • 2016 - 2020 Machine Learning to combine multiple datasets
  • 2016 - 2018 Machine Learning for Materials Informatics
  • 2013 - 2015 Statistical Machine Learning with Heterogeneous Auxiliary Information
  • 2013 - 2014 Co-Clustering for Heterogeneous Simultaneous Measuring Datasets
  • 2008 - 2009 Integrative data mining for analyzing biological networks
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Papers (45):
  • Yohei Onodera, Shinji Kohara, Shuta Tahara, Atsunobu Masuno, Hiroyuki Inoue, Motoki Shiga, Akihiko Hirata, Koichi Tsuchiya, Yasuaki Hiraoka, Ippei Obayashi, Koji Ohara, Akitoshi Mizuno, Osami Sakata. Understanding diffraction patterns of glassy, liquid and amorphous materials via persistent homology analyses. Journal of the Ceramic Society of Japan. 2019
  • Shunsuke Muto, Motoki Shiga. Application of machine learning techniques to electron microscopic/spectroscopic image data analysis. Microscopy. 2019
  • Yuhki Tsukada, Shion Takeno, Masayuki Karasuyama, Hitoshi Fukuoka, Motoki Shiga, Toshiyuki Koyama. Estimation of material parameters based on precipitate shape: efficient identification of low-error region with Gaussian process modeling. Scientific Reports. 2019. 9. 15794
  • Motoki Shiga, Shunsuke Muto. Non-negative matrix factorization and its extensions for spectral image data analysis. e-Journal of Surface Science and Nanotechnology. 2019. 17. 148-154
  • Michael Patrick Menden, Dennis Wang, Yuanfang Guan, Michael Mason, Bence Szalai, Krishna C Bulusu, Thomas Yu, Jaewoo Kang, Minji Jeon, Russ Wolfinger, Tin Nguyen, Mikhail Zaslavskiy, AstraZeneca-Sanger Drug Combination DREAM Consortium, In Sock Jang, Zara Ghazoui, Mehmet Eren Ahsen, Robert Vogel, Elias Chaibub Neto, Thea Norman, Eric KY Tang, Mathew J Garnett, Giovanni Di Veroli, Stephen Fawell, Gustavo Stolovitzky, Justin Guinney, Jonathan R Dry, Julio Saez-Rodriguez. Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen. Nature Communications. 2019. 10. 2674
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Books (1):
  • Nanoinformatics
    Springer 2018 ISBN:978-981-10-7617-6
Lectures and oral presentations  (20):
  • 統計的機械学習による物質材料データ解析
    (日本金属学会・日本鉄鋼協会東海支部 若手材料研究会・技術交流フォーラム 2016)
  • 統計的機械学習に基づく走査型電子顕微鏡データ解析
    (先端計測インフォマティクス 大量データ時代の情報活用 2017)
  • 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
    (第2回 さきがけ新分野開拓セミナー「ICTの展開」 2017)
  • 統計的機械学習に基づくスペクトラムイメージ解析
    (2017年真空・表面科学合同講演会・データ駆動表面科学研究部会セッション 2017)
  • スペクトルイメージデータ解析のための統計的機械学習法
    (マイクロビームアナリシス第141委員会第169回研究会 2017)
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Professional career (1):
  • Ph.D. (Engineering) (Gifu University)
Work history (8):
  • 2006/04 - 2008/03 Bioinformatics Center, Institute for Chemical Research, Kyoto University Postdoctoral Researcher
  • 2008/04 - 2011/03 Graduate School of Pharmaceutical Sciences, Kyoto University Assistant Professor
  • 2008/04 - 2011/03 Bioinformatics Center, Institute for Chemical Research, Kyoto University Assistant Professor
  • 2011/04 - 2013/09 Graduate School of Computer Science and Engineering, Toyohashi University of Technology Assistant Professor
  • 2013/10 - 2017/03 Gifu University Assistant Professor (Tenure Track)
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Awards (1):
  • 2015/08/17 - Dream Challenges a Top Performer of DREAM 9.5 Prostate Cancer DREAM Challenge, Sub-Challenge 1-b.
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