- Jae Kwan Park and Seo Ryong Koo, Reliability verification methods for artificial intelligence components in instrumentation and control systems at nuclear power plants, Nuclear Engineering and Technology, Vol. 58, 104096, 2026
- Jeonghun Choi, Seo Ryong Koo, and Seung Jun Lee, Sensor fault detection and signal restoration using scenario-guided supervised autoencoders for nuclear power plant accidents, Progress in Nuclear Energy, Vol. 196, 106374, 2026
- Young Ho Chae, Seo Ryong Koo, Jeonghun Choi, and Jonghyun Kim, Enhanced learning for nuclear power plant condition diagnoses using information metric based on Bayesian neural networks and UMAP, Nuclear Engineering and Technology, Vol. 58, 103886, 2026
- Young Ho Chae, Seung Geun Kim, Jeonghun Choi, Seo Ryong Koo, and Jonghyun Kim, Enhancing nuclear power plant diagnostics: A comparative analysis of XAI-based feature selection methods for abnormal and emergency scenario detection, Progress in Nuclear Energy, Vol. 185, 105759, 2025
- Gwi Sook Jang and Seo Ryong Koo, Design of a system-related risk management chain for an intelligent decision support system prototype in Korean nuclear power plants under normal and abnormal conditions, Journal of Advanced Marine Engineering and Technology, Vol. 49, No. 3, pp. 194~205, 2025
- Seung Geun Kim, Young Ho Chae, and Seo Ryong Koo, Application of an open-set recognition method for detecting untrained accident scenarios in a nuclear power plant accident diagnosis model, Nuclear Engineering and Design, Vol. 427, 113421, 2024
- Young Ho Chae, Seung Keun Kim, and Seo Ryong, Enhancing accident diagnosis in nuclear power plants through knowledge Distillation: Bridging the gap between simulation and Real-World scenarios, Nuclear Engineering and Design, Vol. 426, 113395, 2024
- Taejin Kim, Donghan Yoo, Jongin Yang, Seoryong Koo, and KyungTae Lim, A Novel Communication Framework for Reduction of Staffs in Advanced MCRs of SMRs: A Prototype Development of a NLP-Based System, Nuclear Technology, 2024
- Ji Hyeon Shin, Seung Gye Cho, Seo Ryong Koo, and Seung Jun Lee, Approach to diagnosing multiple abnormal events with single-event training data, Nuclear Engineering and Technology, Vol. 56, 558-567, 2024
- Jae Kwan Park, Taek Kyu Kim, and Seo Ryong Koo, Verification strategy for artificial intelligence components in nuclear plant instrumentation and control systems, Progress in Nuclear Energy, Vol. 164, 104842, 2023
- Daeil Lee, Seoryong Koo, Inseok Jang, and Jonghyun Kim, Comparison of Deep Reinforcement Learning and PID, energies, 2022
- Jae Kwan Park, Taek Kyu Kim, Seung Hwan Seong, and Seo Ryong Koo, Control automation in the heat-up mode of a nuclear power plant using reinforcement learning, Vol. 145, 104107, 2022
- Sang Hun Lee, Seung Jun Lee, Seo Ryong Koo, Athi Varuttamaseni, Meng Yue, Ming Li, Jaehyun Cho, and Hyun Gook Kang, Optimization of software development life cycle quality for NPP safety software based on a risk-cost model Controllers for Automatic Cold Shutdown Operation, Annals of Nuclear Energy, Vol. 135, 106961, 2020
- Seo Ryong Koo, Hyeonmin Kim, Geon Pil Choi, and Jung Taek Kim, Development of AI Framework Based on RNN for Startup and Shutdown Operation of Nuclear Power Plant, Journal of Institute of Control, Robotics and Systems, Vol. 25(9), 789-794, 2019
- Seo Ryong Koo and Poong Hyun Seong, Software Design Specification and Analysis Technique (SDSAT) for the Development of Safety-Critical Systems Based on a Programmable Logic Controller (PLC), Reliability Engineering and System Safety, Vol. 91, Issue 6, P. 648-664, 2006, 06
- Seo Ryong Koo, Poong Hyun Seong, Junbeom Yoo, Sung Deok Cha, and Yeong Jae Yoo, An Effective Technique for the Software Requirements Analysis of NPP Safety-Critical Systems, Based on Software Inspection, Requirement Traceability, and Formal Specification, Reliability Engineering and System Safety, Vol. 89, Issue 3, P. 248-260, 2005, 09
- Seo Ryong Koo, Han Seong Son, Poong Hyun Seong, A Method of Formal Requirements Analysis for NPP I&C Systems Based on UML Modeling with Software Cost Reduction, Journal of Systems and Software, Vol. 67, Issue 3, P. 213 - 224, 2003, 9
- Reliability and Risk Issue in Large Scale Safety-critical Control System, Springer Series in Reliability Engineering, 2008. 11