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J-GLOBAL ID:201301099979331344   Update date: Nov. 29, 2024

MIWA Shuichiro

ミワ シュウイチロウ | MIWA Shuichiro
Affiliation and department:
Job title: Associate Professor
Homepage URL  (1): https://www.vis.t.u-tokyo.ac.jp/
Research field  (4): Energy chemistry ,  Nuclear engineering ,  Thermal engineering ,  Fluid engineering
Research keywords  (7): Machine Learning ,  Flow Induced Vibration ,  流体工学 ,  Multiphase Flow ,  Heat Transfer ,  Thermal Hydraulics ,  Two-phase Flow
Research theme for competitive and other funds  (24):
  • 2022 - 2025 機械学習を用いたデータ駆動型熱流体解析の基盤開発
  • 2023 - 2024 燃料デブリ冷却特性の詳細評価モデルに関する研究
  • 2021 - 2024 福島第一原子力発電所の廃止措置における放射性エアロゾル制御及び除染に関する研究
  • 2021 - 2024 Quantum technology and neuromodulation medicine for new therapeutic strategies to suppress microinflammations
  • 2021 - 2024 Development of the Thermal-hydraulic Data-driven Plant Safety Evaluation Methodologies copuled with AI
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Papers (80):
  • Shixian Wang, Kai Wang, Chen Zeng, Shuichiro Miwa, Koji Okamoto. A dynamic characteristic on the boiling crisis in downward facing flow boiling, Part II: Model development and validation. International Communications in Heat and Mass Transfer. 2025. 160
  • Ruicong Xu, Avadhesh Kumar Sharma, Shuichiro Miwa, Shunichi Suzuki. Improvement of aerosol spray scavenging efficiency by pre-injecting electrically charged water mist. Journal of Environmental Chemical Engineering. 2024. 12. 6. 114608-114608
  • Shixian Wang, Kai Wang, Shuichiro Miwa, Taishan Chen, Koji Okamoto. A dynamic characteristics on the boiling crisis in downward facing flow boiling, part I: Motion of the CHF front and factors investigation. International Communications in Heat and Mass Transfer. 2024. 159
  • Wen Zhou, Shuichiro Miwa, Susumu Yamashita, Koji Okamoto. Development of advanced AI-based segmentation and prediction method for air entrainment in plunging water jets. Progress in Nuclear Energy. 2024. 177
  • Wen Zhou, Shuichiro Miwa, Hanyu Wang, Koji Okamoto. Assessment of the state-of-the-art AI methods for critical heat flux prediction. International Communications in Heat and Mass Transfer. 2024. 158
more...
MISC (75):
  • 江口航平, 三輪修一郎, 澤和弘. Development of a gas-liquid two-phase flow image analysis method using deep learning based object detection and recognition techniques. 日本原子力学会春の年会予稿集(CD-ROM). 2023. 2023
  • 齊藤大輔, PRAYITNO Yosephus Ardean Kurnianto, 三輪修一郎, 武居昌弘. Spatio-temporal void fraction visualization of vertical bubbly to slug flow regime by combination of multiple current-voltage and machine learning (MCV-ML). 可視化情報シンポジウム(CD-ROM). 2023. 51st
  • 荒金賢二, 北尾卓己, 田中伸祐, 森正明, 三輪修一郎. Integration of AI Technology and Thermal Hydraulics for the Development of a Data-Driven Methodology for Plant Safety Assessment (6) Parameter analysis for LWR accident by deep neural networks using CNN and Transformer. 日本原子力学会秋の大会予稿集(CD-ROM). 2023. 2023
  • 辻村玲摩, NGUYEN Binh Thanh, 大川富雄, ZHOU Wen, 三輪修一郎. Integration of AI Technology and Thermal Hydraulics for the Development of a Data-Driven Methodology for Plant Safety Assessment (2) Interaction Between Nucleation Sites in Subcooled Flow Boiling and Application of AI Image Analysis. 日本原子力学会秋の大会予稿集(CD-ROM). 2023. 2023
  • 山下晋, ZHOU Wen, 三輪修一郎. Integration of AI Technology and Thermal Hydraulics for the Development of a Data-Driven Methodology for Plant Safety Assessment (4) Bubble Entrainment Analysis by Water Jet Using JUPITER Code and Estimation of Penetration Length by Machine Learning. 日本原子力学会秋の大会予稿集(CD-ROM). 2023. 2023
more...
Lectures and oral presentations  (174):
  • A Fully Explicit GPU-Accelerated DEM-MPH Method for Simulating Debris Bed Formation with Micro Scale Debris
    (AESJ Fall Meeting 2024 Tohoku University 2024)
  • BF-GAN: Development of an AI-driven Bubbly Flow Image Generation Model Using Bubbly Generative Adversarial Networks
    (AESJ Fall Meeting 2024 Tohoku University 2024)
  • Transforming Nuclear Thermal-Hydraulics: Insights from Decommissioning, Multiphase Flow, and Machine Learning within the Carbon-Neutral Paradigm
    (Invited Seminar, National Tsing Hua University, Hsinchu, Taiwan 2024)
  • Physics-informed Neural Networks for Two-phase Flow Simulations: An Integrated Approach with Advanced Interface Tracking Methods
    (The 14th International Topical Meeting on Nuclear Reactor Thermal-Hydraulics, Operation, and Safety (NUTHOS-14) 2024)
  • Experimental Investigation on Aerosol Scavenging by Electrically Charged Spray with Preinjected Water Mist for Fukushima Daiichi decommissioning
    (The 14th International Topical Meeting on Nuclear Reactor Thermal-Hydraulics, Operation, and Safety (NUTHOS-14) 2024)
more...
Education (4):
  • 2008 - 2012 Purdue University Nuclear Engineering Ph.D.
  • 2006 - 2008 Purdue University Nuclear Engineering M.S.
  • 2001 - 2005 Purdue University Civil/ Environmental Engineering B.S.
  • 1998 - 2001 International Christian School - Seoul (Korea) High School Ed.
Professional career (1):
  • Ph.D. (Purdue University)
Work history (9):
  • 2021 - 現在 The University of Tokyo Associate Professor
  • 2020 - 2021 Hokkaido University Associate Professor
  • 2018 - 2020 Hokkaido University Assistant Professor (Tenured)
  • 2013 - 2018 Hokkaido University Assistant Professor
  • 2011 - 2012 Purdue University Bilsland Dissertation Fellow
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Committee career (33):
  • 2023 - 現在 米国原子力学会 Publications Steering Committee.
  • 2023 - 現在 日本原子力学会 北関東支部 幹事
  • 2022 - 現在 日本混相流学会 日米二相流専門家会議委員会 委員長
  • 2022 - 現在 METI 安全性向上等に資する革新的な原子力イノベーション事業 外部有識者
  • 2022 - 現在 日本原子力学会 標準委員会リスク専門部会 委員
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Awards (15):
  • 2024 - The 5th Tome Research Institute Young Researchers Essay Competition Best Paper Award
  • 2024 - ANS Taiwan Section Young Member Research Excellence Award
  • 2021 - Atomic Energy Society of Japan Best Presentation Award
  • 2021 - Atomic Energy Society of Japan Research Achievement Award
  • 2020 - Best Presentation Award
Show all
Association Membership(s) (4):
American Nuclear Society ,  THE JAPANESE SOCIETY FOR MULTIPAHSE FLOW ,  ATOMIC ENERGY SOCIETY OF JAPAN ,  THE JAPAN SOCIETY OF MECHANICAL ENGINEERS
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