Research output per year
Research output per year
Personal profile
Education
1.Ph.D. in School of Civil, Environmental and Architectural Engineering (Structural Engineering), Korea University, Seoul, Republic of Korea (2021)
2.B.S. in School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, Republic of Korea (2014)
2.B.S. in School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, Republic of Korea (2014)
Professional Experience
1.Assistant Professor, Department of Railway Construction Policy, Graduate School of Railway, Seoul National University of Science and Technology (SeoulTech), 2026–Present
2.Senior Researcher, Korea Institute of Nuclear Safety (KINS), 2025–2026
3.Research Professor, Korea University, 2021–2025
2.Senior Researcher, Korea Institute of Nuclear Safety (KINS), 2025–2026
3.Research Professor, Korea University, 2021–2025
Research Interests
1.Advanced Structural Analysis
2.Structural Health Monitoring (SHM)
3.AI-Based Structural Condition Evaluation
4.Structural Safety and Performance Evaluation
5.Digital Twin and Data-Driven Technologies for Infrastructure Monitoring and Maintenance
2.Structural Health Monitoring (SHM)
3.AI-Based Structural Condition Evaluation
4.Structural Safety and Performance Evaluation
5.Digital Twin and Data-Driven Technologies for Infrastructure Monitoring and Maintenance
Major Research Achievements
1.Development of structural response estimation and monitoring methodologies for civil infrastructure using structural analysis, sensor measurements, and data-driven approaches.
2.Development and experimental validation of wireless sensor network (WSN)-based real-time monitoring systems for estimating global structural responses of beam structures.
3.Application of artificial intelligence and advanced numerical analysis techniques to structural condition evaluation and structural health monitoring.
4.Research experience in the structural safety evaluation of various infrastructure systems, including bridges, offshore structures, transmission towers, and nuclear safety-related structures.
2.Development and experimental validation of wireless sensor network (WSN)-based real-time monitoring systems for estimating global structural responses of beam structures.
3.Application of artificial intelligence and advanced numerical analysis techniques to structural condition evaluation and structural health monitoring.
4.Research experience in the structural safety evaluation of various infrastructure systems, including bridges, offshore structures, transmission towers, and nuclear safety-related structures.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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Research output
- 16 Article
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Combining long short-term memory and shape superposition for estimating moving load-induced global responses of bridges
Byun, N., Lee, J. & Kang, Y. J., 2026, In: Structure and Infrastructure Engineering. 22, 7, p. 1331-1346 16 p.Research output: Contribution to journal › Article › peer-review
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Development of response estimation algorithm with multiresponse data for damaged cable-stayed bridges
Won, J. Y., Kang, Y. J., Kim, J., Noh, Y. & Byun, N., Oct 2025, In: Structures. 80, 109887.Research output: Contribution to journal › Article › peer-review
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DNN-based estimation of flexural strength of horizontally curved bracing system
Lee, J., Byun, N., Ryu, S. & Kang, Y. J., Mar 2025, In: Journal of Constructional Steel Research. 226, 109203.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Estimation of wave-induced full-field internal forces in submerged floating tunnels using LSTM network with finite impulse response filter and modal approach
Byun, N., Lee, Y. & Kim, S., 30 Jul 2025, In: Ocean Engineering. 333, 121442.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Finite Element Model Updating for Identifying Structural Stiffness in Bridge Structures via Computer Vision and Deep Learning
Lee, Y., Jeon, G., Byun, N. & Yoon, H., 2025, In: IEEE Sensors Journal. 25, 12, p. 22080-22089 10 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations