Tada　Shunichi

Researcher Information

Research funding number

• 80999847

J-Global ID

• 202401019920420735

Research Interests

• 遺伝的アルゴリズム   上水道システム   災害復旧シミュレーション   人とAIの共進化   

Academic & Professional Experience

• 2024/04 - Today  Toyo UniversityFaculty of Information Networking for Innovation And DesignAssistant Professor
• 2020/09 - 2023/03  The University of TokyoThe Graduate School of EngineeringTeaching Assistant

Education

•        - 2024/03  The University of Tokyo  The Graduate School of Engineering  Department of System Innovation
•        - 2018/03  The University of Tokyo  The Faculty of Engineering  Department of Systems Innovation

Published Papers

• Clarifying Patterns in Team Communication Through Extended Recurrence Plot with Levenshtein Distance

  Saki Namura; Sunichi Tada; Yingting Chen; Taro Kanno; Haruka Yoshida; Daisuke Karikawa; Kohei Nonose; Satoru Inoue

  Communications in Computer and Information Science Springer Nature Switzerland 118 - 123 1865-0929 2023/07 [Refereed]
  
• Co-Evolution Framework Between Humans and Simulations: Planning Post-Disaster Restoration of a Water Distribution Network

  Shunichi Tada; Kento Wakayama; Taro Kanno; Yuji Kawase; Kazuo Furuta

  Journal of Disaster Research Fuji Technology Press Ltd. 18 (2) 89 - 103 1881-2473 2023/02 [Refereed]
  
• 発話分析によるチーム協調レジリエンス評価

  名村 彩季; 菅野 太郎; 古田 一雄; 多田 舜一; 三橋 大地; Yingting Chen

  ヒューマンインタフェース学会研究報告集 24 (9) 23 - 26 2022/11
• Applying a Genetic Algorithm for Finding the Worst Scenario for the Post-Disaster Recovery of Water Distribution Network

  Shunichi Tada; Taro Kanno

  Proceedings of International Conference of Probabilistic Safety Assessment and Management 2022/06 [Refereed]
  
• Combinatorial Optimization of Empirical Heuristics for Water Distribution Networks Restoration

  Shunichi Tada; Kengo Hayashida; Taro Kanno; Yuji Kawase; Kazuo Furuta

  Book of Extended Abstracts for the 32nd European Safety and Reliability Conference Research Publishing Services 2022 [Refereed]
  
• Random Forest for Genetic Algorithm Optimization: Making it Quick and Interpretable

  Shunichi Tada; Taro Kanno

  Proceedings of Asia Simulation Conference 2021 201 - 208 2021/12 [Refereed]
  
• A Similarity-Calculation Method of Geometric Problems for Adaptive e-Learning

  Shunichi Tada; Susumu Shirayama

  Communications in Computer and Information Science Springer International Publishing 311 - 318 1865-0929 2020/11 [Refereed]
  
• 図形問題の解法手順の形式化とその自動生成

  多田 舜一; 菅野 太郎

  日本教育工学会研究報告集 20 (3) 33 - 40 2020/10
• アダプティブ e-ラーニングのための図形問題の類似度算出法

  多田 舜一; 白山 晋

  人工知能学会 インタラクティブ情報アクセスと可視化マイニング研究会(第24回) 58 - 64 2020/03

MISC

• AI×HI×訓練:災害レジリエンスを促進する人と訓練シナリオの共進化

  菅野 太郎; 多田 舜一  ヒューマンインタフェース学会誌  25-  (1)  8  -11  2023

Research Grants & Projects

• 災害拠点病院の包括的モデリング＆シミュレーションによる災害医療レジリエンス評価

  日本学術振興会：科学研究費助成事業

  Date (from‐to) : 2025/04 -2029/03 

  Author : 菅野 太郎; 吉田 悠; 椿 美智博; 多田 舜一; 梶山 和美; 山崎 妙純; 舎利倉 幸香

Teaching Experience

Computer Science Exercise IV
Toyo University
Computer Science Exercise II
Toyo University
Computer Science Exercise III
Toyo University
Computer Science Exercise I
Toyo University

Other link

researchmap

https://researchmap.jp/g0000224066