Publications

Peer Reviewed Journals

Submitted/Under Review

• Kim S, Kim S*, Site-Specific Framework for Typhoon-Induced Power Grid Risk Assessment in Industrial Complexes: Application to South Korea, Structural Safety, Under Review.

• Lee S, Kim S*, Semi-supervised Pointwise VIV Detection via Few-Shot and Sequential Transfer Learning, Engineering Structures, Under Review.

Published/Accepted

• Kim S, Kim S*, Field Validation of OMA-Based Damping Estimates for Evaluating Multiple Tuned Mass Dampers, Structural Engineering International (SEI) (Accepted).

• Park S, Kim S*, Hybrid CAE–DSVDD for Unsupervised Vibration-Based Damage Detection in In-Situ Steel Truss Bridge, Structural Health Monitoring. 2025 Sep.

• Park S, Kim S*, Enhancing Field Applicability of Unsupervised Vibration-Based Damage Assessment via Time-Frequency Pattern Differentiation, Journal of Civil Structural Health Monitoring. 2025 Aug.

• Kim S, Kim H, Hwang Y*. Data-driven dynamic response forecasting and anomaly detection in long-span bridges. Journal of Civil Structural Health Monitoring. 2025 Apr 29:1-8.

• Lee S, Kim S*, Pointwise Vortex-induced Vibration Detection: Learning from Time-Series Synthesis Data, Engineering Structures. 2025 Mar; 326: 119525

• Hwang Y, Kim HK*, Lim J, Yoon H, Kim S, Ahn S, Field Observation and Cause Investigation of Low-Frequency Cable-Vibrations in a Cable-Stayed Bridge, Engineering Structures. 2025 Jan; 322: 119082.

• Park S, Kim S*, Enhancing vibration-based damage assessment with one dimensional CNN: parametric studies and field applications, KSCE Journal of Civil Engineering. 2024 Mar 18:1-8.

• Lee SH, Kim S*. Unsupervised Vortex-induced Vibration Detection Using Data Synthesis. Journal of the Computational Structural Engineering Institute of Korea. 2023; 36(5): 315-321.

• Kim S, Park S, Shin J, Choi I-R, Choi S*. Deep-learning-based data loss reconstruction for spatiotemporal temperature in piloti structures: Enhancing applicability with limited datasets, Fire Safety Journal. 2023 Oct; 140: 103887.

• Lee H, Yoon H, Kim S*. Vibration detection of stay-cable from low-quality CCTV images using deep-learning-based dehazing and semantic segmentation algorithms, Engineering Structures. 2023 Oct; 292: 116567.

• Hwang D, Kim S*, Kim HK, Deep Gaussian process regression for damping of a long-span bridge under varying environmental and operational conditions, Journal of Civil Structural Health Monitoring. 2023 Jun 18:1-5. 

• Kim S, Lee SH, Kim S*. Pointwise multiclass vibration classification for cable-supported bridges using a signal- segmentation deep network, Engineering Structures. 2023 Mar; 279: 115599.

• Kim S, Kim T*, Machine-learning-based prediction of vortex-induced vibration in long-span bridges using limited information, Engineering Structures. 2022 Sep; 266(1): 114551

• Jeon G, Kim S, Ahn SS, Kim HK, Yoon H*, Vision-based Automatic Cable Displacement Measurement using Cable-ROI Net and Uni-KLT, Structural Control and Health Monitoring. 2022 Aug; 29(8): e2977 

• Yang Q, Wang J, Kim S, Huihui C, Spencer BF, Design and Implementation of a SHM System for a Heritage Timber Building, Smart Structures and Systems. 2022 Apr; 29(4):561-576

• Kim S, Kim SJ*, Kim HK, High-mode vortex-induced vibration of stay cable: monitoring, cause investigation, and mitigation, Journal of Sound and Vibration. 2022 Apr; 524: 116758

• Kim S, Kim HK*, Spencer BF, Automated damping identification of long-span bridge using long-term wireless monitoring data with multiple sensor faults, Journal of Civil Structural Health Monitoring. 2022 Feb; 12:465-479.

• Lim JY, Kim S*, Kim HK, Using supervised learning techniques to automatically classify vortex-induced vibration in long-span bridges, Journal of Wind Engineering and Industrial Aerodynamics. 2022 Feb; 221: 104904

• Lee G, Kim S, Ahn SS, Kim HK, Yoon H*, Vision-based Cable Displacement Measurement Using Side View Video, Sensors. 2022 Jan; 22(3): 962

• Jang J, Kim HK, Kim S*. Effect of Environmental and Operational Conditions on the Modal Parameters of Twin Cable-stayed Bridge. Journal of Wind Engineering Institute of Korea. 2021 Sep; 25(3): 103-109 (Domestic, in Korean).

• Hwang D, Kim S*, Kim HK. Long-Term Damping Characteristics of Twin Cable-Stayed Bridge under Environmental and Operational Variations. Journal of Bridge Engineering. 2021 Sep 1;26(9):04021062.

• Kim S, Park KY, Kim HK*, Lee HS. Damping estimates from reconstructed displacement for low-frequency dominant structures. Mechanical Systems and Signal Processing. 2020 Feb 1;136:106533.

• Hwang YC, Kim S, Kim HK*. Cause investigation of high-mode vortex-induced vibration in a long-span suspension bridge. Structure and Infrastructure Engineering. 2019 Apr 29:1-0.

• Kim S, Kim HK*, Hwang YC. Enhanced Damping Estimation for Cable-Stayed Bridges Based on Operational Monitoring Data. Structural Engineering International, 2018 Jul 3;28(3): 308-317.

• Kim S, Kim HK*. Damping Identification of Bridges under Nonstationary Ambient Vibration. Engineering. 2017;3(6):839-44.

• Park J, Kim S, Kim HK*. Effect of gap distance on vortex-induced vibration in two parallel cable-stayed bridges. Journal of Wind Engineering and Industrial Aerodynamics. 2017 Mar 31;162:35-44.

• Kim S, Park J, Kim HK*. Damping identification and serviceability assessment of a cable-stayed bridge based on operational monitoring data. Journal of Bridge Engineering. 2016 Oct 20;22(3):04016123.

• Kim S, Kim HK*. Wake galloping phenomena between two parallel/unparallel cylinders. Wind and Structures. 2014;18(5):511-28.

• Kim SJ, Kim HK*, Calmer R, Park J, Kim GS, Lee DK. Operational field monitoring of interactive vortex-induced vibrations between two parallel cable-stayed bridges. Journal of wind engineering and industrial aerodynamics. 2013 Dec 31;123:143-54.

• Kim HK*, Kim KT, Lee H, Kim S. Performance of unpretensioned wind stabilizing cables in the construction of a cable-stayed bridge. Journal of Bridge Engineering. 2012 Jul 21;18(8):722-34.

• Kim S, Kim HK*, Lee SH. Evaluation of Wake Galloping for Inclined Parallel Cables by Two-Dimensional Wind Testes Tests. Journal of Korean Society of Steel Construction. 2011;23(6):763-75. (Domestic)

International conference

• Lee S, Kim S, Transfer Learning for Pointwise Vortex-Induced Vibration Detection Across Cable-Supported Bridges with Different Natural Frequencies, 10th Civil Engineering Conference in the Asian Region (CECAR 10), Jeju, South Korea, October 21-24, 2025.

• Lee S, Kim S, Pointwise VIV Detection via Sequential Transfer Learning with Few-Shot Data, 1st Artificial Intelligence in Structural Engineering (ARTISTE 2025), Torino, Italy, September 14-17, 2025.

• Park S, Kim S, Vibration-based Damage Assessment Enhanced by Integrating Deep Support Vector Description with Convolutional Autoencoder,  Engineering Mechanics Institute Conference (EMI 2025), Anaheim Marriott, Anaheim, California, May 27–30, 2025.

• Park S, Kim S, Improved vibration-based damage detection: integrating deep SVDD with convolutional autoencoder, 8th Asian-Pacific Symposium on Structural Reliability and Its Applications (APSSRA 2024), Ulsan, South Korea, September 29 - October 1, 2024. 

• Kim S, Unpaired Image-to-Image Translation for Cable Vibration Detection from Low-Visibility CCTV Images, 9th International Workshop on Structural Control and Monitoring, ETH Zurich, Switzerland, 16-​18 June 2024

• Park S, Kim S, Unsupervised structural damage assessment using improved deep one-class anomaly detection, Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference (EMI/PMC 2024), University of Illinois Urbana-Champaign, Chicago, IL, May 28-31, 2024

• Kim S, Hwang D, Kim HK. Probabilistic regression model for OMA-based damping estimates of a cable-stayed bridge under environmental and operational variability, 10th International Conference on Experimental Vibration Analysis for Civil Engineering (EVACES 2023), Structures Politecnico di Milano, Italy, August 30 – September 1, 2023

• Kim S, Lee S, A label-free approach for detecting vortex-induced vibration using synthetic data augmentation, 16th International Conference on Wind Engineering (ICWE 2023), Florence, Italy, August 27 - 31, 2023.

• Hwang D, Kim S, Kim HK. Gaussian Process Regression with Bayesian Optimization for Mapping Between Modal Parameters and Environmental and Operational Variations, Engineering Mechanics Institute Conference 2022 (EMI 2022), Baltimore, MD, USA, May 31 - June 3, 2022

• Kim S, Kim T. Data-driven identification for vortex-induced vibrations with imbalanced data, 8th World Conference on Structural Control and Monitoring (8WCSCM), Orlando, Florida, USA, 5-9 June, 2022

• Lim JY, Kim SJ, Kim S, Kim HK. Data-driven vibrational identification for long-span bridges, 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-10), Porto, Portugal, 30 June - 2 July, 2021

• Kim S, Spencer BF, Kim HK. Automated long-term damping estimation of the cable-stayed bridge using faulty data in wireless sensor network. In Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations, 2021 Apr 19 (pp. 3049-3053). CRC Press

• Kim S, Spencer BF, Kim HK, Kim SJ, Hwang DY, Data-driven modeling of modal parameters of long-span bridges under environmental and operational variation, IABSE Conference – Risk Intelligence of Infrastructures, Seoul, Korea, November 9-10 2020

• Kim S, Kim HK, Spencer BF, A fully autonomous damping estimation with SVM-based fault data treatment using 1-year wireless monitoring data, 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-9), St. Louis, Missouri, USA, 4-7 August, 2019

• Kim S, Kim HK, Signal stationarization in damping estimation for bridges from traffic loadings, 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-8), Brisbane, Australia, 5-8 December, 2017

• Kim S, Kim HK, Amplitude-dependency of estimated damping ratio by operational modal analysis in a cable-stayed bridge, The 9th International Symposium on Steel Structures (ISSS-2017), Jeju, Korea, November 1-4, 2017

• Kim S, Kim HK, The effect of lock-in range on OMA-based damping estimation for long-span bridges, The 12th China-Japan-Korea International Workshop on Wind Engineering (CJK2017), Yamanashi, Japan, October, 13-14

• Kim S, Kim HK, Signal stationarization technique in output-only damping identification, 39th IABSE Symposium Vancouver, Vancouver, Canada, September 19-23, 2017

• Kim S, Kim HK, Damping identification of bridges from nonstatioary ambient vibration data, ACEM'16, ICC Jeju, Jeju island, Korea, 28 August - 1 September, 2016

• Kim S, Hwang YC, Kim HK, Application of Various Schemes for Damping Estimation of the Suspension Bridge for the Cause Investigation of a Vortex-Induced Vibration, IABSE Conference – Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 23-25 2015

• Kim S, Kim HK, The effect of nonstationary condition on identification of damping ratio from ambient vibration data, ACEM'14, BEXCO, Busan, Korea, August 24-28, 2014

• Kim S, Kim HK, Evaluation of effectiveness of MTMD according to wind condition using ambient vibration measurements, The 6th International Symposium on Computational Wind Engineering, Hamburg, Germany, June. 11, 2014

• Kim S, Calme R, Kim HK, Estimation of Damping Ratio for a Cable-Stayed subjected to an interference Vortex-Induced Vibration, Cambridge UK, July 7-11, 2013

• Kim S, Kim HK, Lee H, An Experimental Investigation on Characteristics of Flow Field of Wake Galloping, 18th IABSE Congress, Seoul, Korea, September 20, 2012

• Kim S, Kim HK, Chung HS, Yoo CH, Park J, Lee H, Wake galloping of unparallel cylinders, Proceedings of the 11th Japan-Korea Joint Seminar on Steel Bridges, Jeju island, Korea, 2011, Aug 25-27, pp.19.

• Kim S, Lee SH, Kim HK, Evaluation of Wake Galloping of Unparallel Twin Cables of the Mokpo Cable-Stayed Bridge, The 28th Annual International Bridge Conference, Pittsburgh, USA, June 5-8, 2011