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J-GLOBAL ID:202101005287179052   Update date: Jan. 30, 2024

Jang Sunghyon

ジャン スンヒョン | Jang Sunghyon
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Affiliation and department:
Research theme for competitive and other funds  (2):
  • 2021 - 2023 Development of event progression inference model under a severe accident condition in a nuclear power plant using a machine learning and surrogate model
  • 2018 - 2022 Development of Dyanamic Risk Analysis Methodology Considering Interunit Dependency at Multiunit Site.
Education (3):
  • 2012 - 2015 Osaka University Graduate School of Engineering
  • 2010 - 2012 Osaka University Graduate School of Engineering
  • 2004 - 2010 Seoul National University Engineering Nuclear Engineeirng
Professional career (1):
  • Ph.D (Osaka University)
Work history (3):
  • 2022/01 - 現在 Hokkaido University Faculty of Engineering
  • 2015/11 - 2021/12 The University of Tokyo The Graduate School of Engineering Assistant Professor
  • 2015/10 - 2015/10 Osaka University Graduate School of Engineering
Awards (4):
  • 2022/03 - 日本原子力学会 北海道支部 支部奨励賞 マルチユニット影響による環境変化を考慮した人的過誤率評価(1)ファジィ推論による熟練度及び手順書の影響評価
  • 2022/03 - 原子力学会リスク部会 奨励賞 ファジ推論を用いてマルチユニット影響を考慮した人的過誤率評価
  • 2021/03 - 日本原子力学会リスク部会 奨励賞 余震の影響を考慮した地震と溢水の複合事象の確率論的リスク評価手法
  • 2013/03 - IAEA YOUNG SCIENTIST VIDEO AWARD Numerical Investigation of Experimental Methodology for Simulating Self-Wastage Phenomenon using Simulant Material
Association Membership(s) (1):
日本原子力学会
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