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Dr. Seungjun Lee
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Dr. Seungjun Lee
  • Home
  • Research
  • Projects
  • Publications
  • Conferences
  • News
  • More
    • Home
    • Research
    • Projects
    • Publications
    • Conferences
    • News

Publications

(Google Scholar, ResearchGate, ORCID)

Doctoral Thesis


  • Lee, S. (2025). Time-Dependent Finite Element Reliability Analysis of PSC Girders Considering Multi-Level Uncertainty in Corroded Strands, Ph.D. thesis, Ulsan National Institute of Science and Technology (UNIST), Republic of Korea.

Peer-Reviewed Journal Articles (*: corresponding author; ¹: Equal-contribution authors)


  • Published

  1. Choi, Y. and Lee, S.* (2026). Accelerating stochastic simulation of post-failure landslide runout using a random graph neural network-based simulator, Computers and Geotechnics, 195, 108104. 

  2. Lee, J., Lee, S., Lee, Y.-J.*, and Lee, J.* (2026). Predicting seismic floor response for nuclear power plant structures with time-series uncertainty propagation using attention-enhanced multimodal deep learning, Reliability Engineering & System Safety, 272 (Part 2), 112582.

  3. Seo, W.¹, Lee, S.¹, Baek, S.¹, Shin, D.M., Youm, K., Kim, B., Kim, G.*, and Yun, T.S.* (2026). Utilizing linear and nonlinear ultrasound for improved estimation of concrete strength, Nondestructive Testing and Evaluation, 41(7), 4204–4220.

  4. Lee, S., Jeon, C.-H., Lee, J.*, and Lee, Y.-J.* (2026). Prediction of the flexural behavior of corroded prestressed concrete girders: a probabilistic multi-level approach, Structural Safety, 120, 102685.

  5. Song, H., Kim, M., Lee, Y.-J., Kim, T.-H.*, and Lee, S.* (2025). A finite element reliability analysis platform for damage index-based fragility assessment of RC bridges, Scientific Reports, 15, 38569.

  6. Lee, J., Lee, S., Lee, Y.-J.*, and Lee, J.* (2025). Virtual sensing of seismic floor responses for rapid prioritization of critical equipment inspection in nuclear power plants, Computer-Aided Civil and Infrastructure Engineering, 40(26), 4669-4688.

  7. Lee, S., and Lee, Y.-J.* (2025). New computational platform of finite element reliability analysis for efficient safety assessment of bridges employing MIDAS/Civil, KSCE Journal of Civil Engineering, 29(8), 100163.

  8. Lee, S., Lee, J.*, Jeon, C.-H., and Lee, Y.-J.* (2025). Probabilistic prediction of Load–Displacement curves of corroded strands, Developments in the Built Environment, 22, 100644.

  9. Lee, S., Lee, J., Yoon, S., and Lee, Y.-J.* (2024). Efficient finite element reliability analysis employing sequentially-updated surrogate model for fragility curve derivation, Structures, 68, 107246.

  10. Lee, S., Lee, J.*, Kim, M., Lee, S., and Lee, Y.-J. (2024). Deep learning-based anomaly detection in acceleration data of long-span cable-stayed bridges, Smart Structures and Systems, 33(2), 93-103.


  • Submitted / Under review / Accepted / In Press

  1. Lee, S., Kwon, O., An, L.-S.*, and Lee, Y.-J.* (Under Review). Data-Efficient Fatigue Crack Growth Parameter Estimation for Probabilistic Prediction with Posterior-Informed Observation Selection, Structural Safety.

  2. Lee, S., Biton, N.I.D.*, and Beck, A.T. (Under Review, 2nd). Optimal design of truss structures considering fatigue-induced sequential failures: an active learning Kriging-assisted approach, Engineering Structures.

  3. Han, S., Lee, S., Lee, J.*, and Kim, T.* (Under Review, 1st). Probabilistic framework for bridge performance assessment under flood hazards considering climate change, Structural Safety.

  4. Lee, S., Sohn, H., and Kwon, O.* (Under Review). Reference-guided ultrasonic signal reconstruction for absolute stress monitoring of mooring cables in submerged floating tunnels, Engineering Structures.


  • In Preparation

  1. Lee, J., Kim, M., Lee, S., and Lee, Y.-J. Structural response prediction on cable tension forces of cable-stayed bridge using multi-kernel 1D convolutional neural network.

  2. Lee, S., Song, H., Lee, Y.-J., Yoon, S.* and Galasso, C. Probabilistic assessment of post-earthquake flow capacity in bridge transportation networks through network reduction and dependence modeling.

  3. Lee, S., and Kim, T. Resilience Matrix-Based Assessment Framework for Corroded PSC Box Girder Bridges.

  4. Choi, Y., and Lee, S. Reliability-Based Design Optimization Framework for Landslide-Resisting Baffles Using Random Graph Neural Network-Based Simulator.

KCI Journal Articles 


  • Published

  1. 김경원, 심성한, 이영주, 이준화*, 이승준*. (2026). 토탈스테이션 기반 교량 구조물의 장기 변위 계측 기법, 한국구조물진단유지관리공학회논문집, 30(3), pp.87-98

  2. 송현성, 이승준, 윤성식, 이영주*. (2026). 확률론적 장외영향평가를 위한 ALOHA 해석 자동화 플랫폼 개발, 한국산학기술학회논문지, 27(3), pp. 16-23.

  3. 이진구, 이승준, 이영주, 이재범*. (2025). 딥러닝 기반의 가상 센싱을 통한 원자력 발전소의 지진 응답 계측, 한국비파괴검사학회지, 45(6), pp. 435-444.

  4. 이승준, 이진구, 이영주, 이재범.* (2024). 구조물 서비스 수명 예측을 위한 시간의존적 유한 요소 신뢰성 해석 기법, 한국비파괴검사학회지, 44(6), pp. 446-455.

  5. 이승준, 윤성식, 송현성, 이진미, 이영주.* (2023). 유한요소 해석을 활용한 매설 배관의 지진 취약도 곡선 도출 기법 비교, 한국지진공학회논문집, 27(5), pp. 213-220.

  6. 이승준, 이영주* (2020). 신뢰도 기반 교량 안전성 평가를 위한 구조신뢰성 해석 플랫폼 FERUM-MIDAS의 개발, 한국산학기술학회논문지, 21(11), pp. 884-891.

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