Faculty Research Profile
Seung Jun Lee
학력
· 2007: Ph.D. Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Korea
· 2002: M.S. Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology, Korea
· 2000: B.S. Computer Science, Korea Advanced Institute of Science and Technology, Korea
주요 경력
· 2015 – present: Associate professor, Dept. of Nuclear Engineering, UNIST
· 2007 – 2015: Senior researcher, Korea Atomic Energy Research Institute
· 2007 – 2007: Post-doctoral researcher, Center for Advanced Reactor Research, KAIST
수상/학회/외부활동
· 2021: Technical Contact, C-12 Digital I&C Systems in NPPs of Joint Standing Committee on Nuclear
· 2021: TPC, PSA 2021 Conference
· 2020: TPC, ESREL 2020-PSAM 15 Conference
· 2017: Local Chair, ISOFIC Conference
· 2013~2015: Technical Contact, C-12 Digital I&C Systems in NPPs of Joint Standing Committee on Nuclear Energy Cooperation
· 2011~2015: Member, OECD/NEA CSNI Working Groups on Human and Organizational Factors (WGH)
원자력 안전성평가 및 HMI 혁신 연구실
Nuclear Safety Assessment and Plant HMI Evolution Laboratory
· Nuclear Power Plant Safety Assessment
“How to assess the safety of a nuclear power plant?” “How safe is safe enough?”
We are performing the researches to answer the questions and to make nuclear power plants safer. The risk assessment of nuclear power plants is crucial in plant designing, licensing, and various decision makings. To assess the plant safety more accurately, we are solving the emerging issues such as reliability of safety-critical digital systems, human reliability in digitalized environment, cyber security, dynamic risk assessment, and multi-unit risk assessment.
· Plant Human Machine Interface (HMI) Evolution
Human error is one of the major contributors in the nuclear power plant safety. Since a nuclear power plant is a large complex system with ten thousands of components, it is not easy to diagnose the current situation and to perform corrective actions quickly and accurately even for highly trained operators. To improve the plant safety by preventing human errors, we are developing an innovative plant HMI with high level automation systems using the artificial intelligence technology.
· Nuclear Power Plant Safety Assessment
“How to assess the safety of a nuclear power plant?” “How safe is safe enough?”
We are performing the researches to answer the questions and to make nuclear power plants safer. The risk assessment of nuclear power plants is crucial in plant designing, licensing, and various decision makings. To assess the plant safety more accurately, we are solving the emerging issues such as reliability of safety-critical digital systems, human reliability in digitalized environment, cyber security, dynamic risk assessment, and multi-unit risk assessment.
· Plant Human Machine Interface (HMI) Evolution
Human error is one of the major contributors in the nuclear power plant safety. Since a nuclear power plant is a large complex system with ten thousands of components, it is not easy to diagnose the current situation and to perform corrective actions quickly and accurately even for highly trained operators. To improve the plant safety by preventing human errors, we are developing an innovative plant HMI with high level automation systems using the artificial intelligence technology.
연구분야
Multi-unit PSA, Gen-IV reactor PSA, Cyber-attack risk assessment, Digital I&C reliability, Human reliability analysis, operator support systems
Multi-unit PSA, Gen-IV reactor PSA, Cyber-attack risk assessment, Digital I&C reliability, Human reliability analysis, operator support systems
연구 희망분야
Dynamic PSA, Passive system reliability evaluation, Autonomous operation
Dynamic PSA, Passive system reliability evaluation, Autonomous operation
연구주제
확률론적안전성평가, 인간신뢰도분석, 리스크정보활용, 디지털계측제어신뢰도평가, 운전원지원시스템개발, 자율운전시스템개발
Probabilistic safety assessment, Human reliability analysis, Risk-informed application, Digital I&C reliability evaluation, Operator support system development, Autonomous system development
Probabilistic safety assessment, Human reliability analysis, Risk-informed application, Digital I&C reliability evaluation, Operator support system development, Autonomous system development
국가연구개발사업 기술 분류체계
국가과학기술표준분류
EF. 에너지/자원 > EF99. 기타 에너지자원 > EF9999. 달리 분류되지 않는 에너지/자원
논문
· RELIABILITY ENGINEERING AND SYSTEM SAFETY / Development of a multi-unit seismic conditional core damage probability model with uncertainty analysis / Heo, Yunyeong, Lee, Seung Jun / 2021-03
· APPLIED SOFT COMPUTING / A Convolutional Neural Network Model for Abnormality Diagnosis in a Nuclear Power Plant / Lee, Gyumin, Lee, Changyong, Lee, Seung Jun / 2021-02
· IEEE ACCESS / Bayesian Belief Network Model Quantification Using Distribution-Based Node Probability and Experienced Data Updates for Software Reliability Assessment / Lee, Seung Jun, Lee, Sang Hun, Chu, Tsong-Lun, Varuttamaseni, Athi, Yue, Meng, Li, Ming, Cho, Jaehyun, Kang, Hyun Gook / 2018-10
특허
· [KOR] Method of Guarantee for Software Failure / 이승준, 조재현, 신성민, 정원대, 양준언 / 2019-05
· [KOR] Generating human error mode status distribution method according to the soft controller types and system thereof / 이승준, 김재환, 장승철 / 2013-03