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J-GLOBAL ID：201601009107752782   Update date: Oct. 02, 2025

Nakanishi-Ohno Yoshinori

ナカニシ(オオノ) ヨシノリ | Nakanishi-Ohno Yoshinori
Affiliation and department：
Doshisha University Faculty of Culture and Information Science

About Doshisha University Faculty of Culture and Information Science


Job title： Associate Professor
Research field  (3)： Soft computing ,  Mathematical physics and basic theory ,  Statistical science
Research theme for competitive and other funds  (8)：
  • 2025 - 2027 Development of a nonlinear tomographic method for reconstructing Fermi surface from experimental data
  • 2023 - 2024 Investigation for the advancement of the general-purpose surface-structural-analysis programme, 2DMAT II
  • 2022 - 2023 汎用表面構造解析プログラム「2DMAT」高度化に向けての調査研究
  • 2020 - 2023 Information extraction and experimental design in condensed-matter experiments based on high-performance computational statistics
  • 2017 - 2022 Breakthrough of limits in compressed sensing by the picture of phase transition
Show all
Papers (17)：
ｍore...
MISC (17)：
  • 田中雄, 津村宏臣, 中西義典, 飯尾尊優, 阪田真己子. データサイエンス・AIと未来の社会 住みたい社会への文化情報学的アプローチ. 文化情報学. 2024. 19. 1. 10-27
  • 中西義典. スパースモデリングによる圧縮センシングーデータ取得の手間を省こうとすること-. 文化情報学. 2022. 17. 1・2. 31
  • Yoshinori Nakanishi-Ohno, Koji Hukushima. Compressed sensing in scanning tunneling spectroscopy -Limitations and possibilities of measurement efficiency-. 2019. 54. 7. 343-351
  • 中西(大野)義典. 【新著紹介】『スパース性に基づく機械学習』. 日本物理学会誌. 2017. 72. 10. 754-754
  • Exhaustive search for sparse variable selection in linear regression. 2016. 116. 300. 313-320
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Lectures and oral presentations  (88)：
  • location-scale-shapeモデルのWasserstein計量のもとでの平坦性
    (2025年度 統計関連学会連合大会 2025)
  • サロゲートモデルを用いたU-NSGA-IIIの精度改良手法の提案
    (2024年度日本分類学会シンポジウム 2024)
  • 認知的妥当性の高い言語モデルが生成するコーパスのテキスト分析
    (第19回YANSシンポジウム 2024)
  • データサイエンス・AIと未来の社会 住みたい社会への文化情報学的アプローチ
    (同志社大学文化情報学部・文化情報学会 特別ディスカッション 2023)
  • モンテカルロ法によるSTMスペクトル解析
    (日本物理学会第78回年次大会(2023年) 2023)
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Education (3)：
  • 2011 - 2016 The University of Tokyo Graduate School of Frontier Sciences Department of Complexity Science and Engineering
  • 2009 - 2011 The University of Tokyo Faculty of Science Department of Physics
  • 2007 - 2009 The University of Tokyo College of Arts and Sciences: Junior Division Natural Sciences I
Professional career (1)：
  • Ph.D. (The University of Tokyo)
Work history (5)：
  • 2023/04 - 現在 Doshisha University Graduate of Culture and Information Science
  • 2021/04 - 現在 Doshisha University Faculty of Culture and Information Science Associate Professor
  • 2017/10 - 2021/03 Japan Science and Technology Agency PRESTO
  • 2016/05 - 2021/03 The University of Tokyo Sub-Department of Basic Science, Department of Multi-Disciplinary Sciences, Graduate School of Arts and Sciences Assistant Professor
  • 2016/04 - 2016/04 The University of TOkyo Department of Complexity Science and Engineering, Graduate School of Frontier Sciences Postdoctoral Fellow
Awards (3)：
  • 2017/11 - Information Theory and its Applications Subsociety, Engineering Sciences Society, The Institute of Electronics, Information and Communication Engineers Symposium on Information Theory and its Applications Young Researcher Paper Award Success or Failure of Compressed Sensing Judged by Cross Validation
  • 2016/03 - Graduate School of Frontier Sciences, The University of Tokyo Dean's Award for Outstanding Achievement Doctoral Course, Graduate School of Frontier Sciences
  • 2013/03 - Graduate School of Frontier Sciences, The University of TOkyo Dean's Award for Outstanding Achievement Master Course, Graduate School of Frontier Sciences
Association Membership(s) (1)：
THE PHYSICAL SOCIETY OF JAPAN
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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