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이승준
Lee, Seung Jun

이승준

Department of Nuclear Engineering(원자력공학과)

  • Nuclear Safety Assessment and Plant HMI Evolution Lab.
  • Website
Research Interests
Nuclear Safety Assessment;Nuclear Power Plant;Nuclear;Human reliability analysis;Risk-informed application;Autonomous system development;Human Machine Interface;HMI;원자력;원자력발전소;안전성평가;인간기계연계;인간신뢰도분석;리스크정보활용;운전원전지원시스템
Lab Description
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) EvolutionHuman 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.
Researcher ID Research Gate ORCiD Scopus Google Scholar
Previous
Radiation safety assessments for radioactive concrete recycling workers and residents File

Kim, Min Ji , Heo, Yunyeong , Cho, Seung Gyu , Lee, Seung Jun , Kim, Hee Reyoung

Article Issue Date2024-03 View14
Approach to diagnosing multiple abnormal events with single-event training data File File

Shin, Ji Hyeon , Cho, Seung Gyu , Koo, Seo Ryong , Lee, Seung Jun

Article Issue Date2024-02 View11
Human reliability evaluation method covering operator action timing for dynamic probabilistic safety assessment File

Jo, Wooseok , Lee, Seung Jun

Article Issue Date2024-01 View7
Exhaustive Test Case Generation for Nuclear Safety Software Based on the Software Logic Model File

Lee, Sang Hun , Lee, Seung Jun , Shin, Sung Min , Lee, Eun-Chan , Kang, Hyun Gook

Article Issue Date2023-10 View12
Deep reinforcement learning for a multi-objective operation in a nuclear power plant File

Bae, Junyong , Kim, Jae Min , Lee, Seung Jun

Article Issue Date2023-09 View8
Multi-Abnormality Attention Diagnosis Model Using One-vs-Rest Classifier in a Nuclear Power Plant File File

Cho, Seung Gyu , Choi, Jeonghun , Shin, Ji Hyeon , Lee, Seung Jun

Article Issue Date2023-07 View12
Reliability Assessment of NPP Safety Class Equipment Considering the Manufacturing Quality Assurance Process File File

Khalaquzzaman, Mohammad , Lee, Seung Jun , Hossen, Muhammed Mufazzal

Article Issue Date2023-06 View11
Strategy to coordinate actions through a plant parameter prediction model during startup operation of a nuclear power plant File File

Kim, Jae Min , Bae, Junyong , Lee, Seung Jun

Article Issue Date2023-05 View10
Radiological safety evaluation of a recycling facility for dismantled concrete waste File

Kim, Min Ji , Lee, Seung Jun , Kim, Hee Reyoung

Article Issue Date2023-03 View9
RNN-based integrated system for real-time sensor fault detection and fault-informed accident diagnosis in nuclear power plant accidents File File

Choi, Jeonghun , Lee, Seung Jun

Article Issue Date2023-03 View6
An interpretable convolutional neural network for nuclear power plant abnormal events File

Shin, Ji Hyeon , Bae, Junyong , Kim, Jae Min , Lee, Seung Jun

Article Issue Date2023-01 View7
Bayesian belief network-based human reliability analysis methodology for start-up and shutdown operations in nuclear power plants File

Jo, Wooseok , Lee, Seung Jun

Article Issue Date2022-12 View12
Operation validation system to prevent human errors in nuclear power plants File

Ahn, Jeeyea , Bae, Junyong , Min, Byung Joo , Lee, Seung Jun

Article Issue Date2022-10 View14
Consistency check algorithm for validation and re-diagnosis to improve the accuracy of abnormality diagnosis in nuclear power plants File File

Kim, Geunhee , Kim, Jae Min , Shin, Ji Hyeon , Lee, Seung Jun

Article Issue Date2022-10 View13
Concept of an Intelligent Operator Support System for Initial Emergency Responses in Nuclear Power Plants File File

Kang, Jung Sung , Lee, Seung Jun

Article Issue Date2022-07 View11
Graded approach to determine the frequency and difficulty of safety culture attributes: The F-D matrix File File

Ahn, Jeeyea , Lee, Seung Jun

Article Issue Date2022-06 View7
Limit surface/states searching algorithm with a deep neural network and Monte Carlo dropout for nuclear power plant safety assessment File

Bae, Junyong , Park, Jong Woo , Lee, Seung Jun

Article Issue Date2022-05 View10
Simulation Optimization Framework for Dynamic Probabilistic Safety Assessment File

Park, Jong Woo , Lee, Seung Jun

Article Issue Date2022-04 View4
Framework for the development of guidelines for nuclear power plant decommissioning workers based on risk information File

Heo, Yunyeong , Lee, Choongwie , Kim, Hee Reyoung , Lee, Seung Jun

Article Issue Date2022-02 View8
Real-time prediction of nuclear power plant parameter trends following operator actions File

Bae, Junyong , Kim, Geunhee , Lee, Seung Jun

Article Issue Date2021-12 View12
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