Theses

Doctoral thesis

JF2022

• Kotaro Kubo, Study on Computational Dynamic Risk Assessment for Nuclear Power Plants, Sep. 2022.

• Naoki Hirokawa, Study on Integrated Risk Analysis of Severe Accident Management and Emergency Preparedness and Response, Sep. 2022.

Master's thesis

JF2025

• Junyan Zhou, The Analysis of Changes and  Factors with Public Attitudes towards Nuclear Energy Use, Mar. 2026.

• Thai Thi Thanh Tuyen, Study on Risk-Informed Optimization of Countermeasures against Sodium Fire Accidents in Sodium-Cooled Fast Reactor, Mar. 2026.

• Hiroki Tanaka, Study on Best Estimate of Fuel Rod Fracture using Stress-Strength Model with Uncertainty, Mar. 2026.

• Haruto Matsumoto, Development of an Integrated Environmental Impact Assessment Method for Offshore Floating Nuclear Power Plant Accidents Considering Atmospheric and Oceanic Dispersion, Mar. 2026.

JF2024

• Daiki Urushihara, Study on Rational Decision-Making for Risk Management through Game Theory, Mar. 2025.

• Shusuke Hamaguch, Study on Epistemic Uncertainty Reduction Using Bayesian Approach and Information Criterion －Application to Fuel Rod Fracture model during LOCA in LWR－, Mar. 2025.

JF2022

• Hideki Matsui, Development of Prediction Model for Wastage Rate under Sodium-Water Reaction based on Approximate Bayesian Computation, Mar. 2023.

Graduation thesis

JF2025

• Daichi Okamoto, Study on Bayesian Optimization for Parameters in Fuel Fracture Experiments Based on Information Criteria, Mar. 2026.

JF2024

• Yuto Uchiyama, Study on HRA Model and Importance Measures for Multi-Unit Dynamic PRA, Mar. 2025.

• Hikari Yamazaki, Development of Uncertainty Importance Measures for Dynamic PRA, Mar. 2025.

JF2023

• Hiroki Tanaka, Study on Probabilistic Approach for Best Estimation of Fuel Rod Fracture, Mar. 2024.

JF2022

• Shusuke Hamaguchi, Improvement of Prediction Accuracy of the Fuel Cladding Tube Fracture at Quench Based on Bayesian Approach, Mar. 2023.