Post-Doctoral Researcher at Jeon Research Group, 2025/03 –
Ph.D., Department of Civil and Environmental Engineering, Hanyang University (2025)
Topic: Seismic Performance of Road and Railway Bridges and Machine Learning Applications
Email: yewonpark@hanyang.ac.kr
Yewon Park, Chang Seok Lee, and Jong-Su Jeon* (2024). Modeling nonlinear cyclic load-deformation response of corrosion-damaged reinforced concrete columns. Earthquake Engineering & Structural Dynamics; 54(10): 2453–2482, August 1.
Mengdie Chen#,, Yewon Park#,, Sujith Mangalathu, and Jong-Su Jeon* (2024). Effect of data drift on the performance of machine-learning models: Seismic damage prediction for aging bridges. Earthquake Engineering & Structural Dynamics; 53(15): 4541–4561, December 1.
Yewon Park, Chang Seok Lee*, and Jong-Su Jeon (2024). Hysteretic model parameters for seismic performance assessment of cyclically degraded reinforced concrete columns. Soil Dynamics and Earthquake Engineering; 179: 108519, April 1.
Chang Seok Lee, Yewon Park, and Jong-Su Jeon* (2021). Model parameter prediction of lumped plasticity model for nonlinear simulation of circular reinforced concrete columns. Engineering Structures; 245: 112820, October 15.
(Current) Post-Doctoral Researcher, Korea Institute of Civil Engineering and Building Technology, 2025/09 –
Post-Doctoral Researcher at Jeon Research Group, 2025/03 – 2025/08
Ph.D., Department of Civil and Environmental Engineering, Hanyang University (2025)
Topic: Machine Learning Application to Earthquake Engineering
Email: minseonkim@hanyang.ac.kr
Minsun Kim, Chang Seok Lee*, Byungmin Kim, and Jong-Su Jeon* (2025). Effect of soil profile-related parameters on seismic performance of ductile reinforced concrete building frames in California. Soil Dynamics and Earthquake Engineering; 190: 109118, March 1.
(Current) Assistant Professor, Chongqing University of Arts and Sciences, China, 2025/09 –
Post-Doctoral Researcher at Jeon Research Group, 2023/03 – 2025/07
Ph.D., Department of Civil and Environmental Engineering, Hanyang University (2023)
Topic: Machine Learning Application to Structure and Infrastructure Systems
Email: 877107144@qq.com
Mengdie Chen#,, Yewon Park#,, Sujith Mangalathu, and Jong-Su Jeon* (2024). Effect of data drift on the performance of machine-learning models: Seismic damage prediction for aging bridges. Earthquake Engineering & Structural Dynamics; 53(15): 4541–4561, December 1.
Mengdie Chen, Sujith Mangalathu, and Jong-Su Jeon* (2024). Rapid damage state identification of structures using generalized zero-shot learning method. Earthquake Engineering & Structural Dynamics; 53(14): 4269–4286, November 1 .
Mendgie Chen, Sujith Mangalathu, and Jong-Su Jeon* (2023). Betweenness centrality-based seismic risk management for bridge transportation networks. Engineering Structures; 289: 116301, August 15.
Mendgie Chen, Sujith Mangalathu, and Jong-Su Jeon* (2022). Seismic reliability assessment of bridge networks considering travel time and connectivity reliabilities. Earthquake Engineering & Structural Dynamics; 51(13): 3097–3110, October 25.
Mendgie Chen, Sujith Mangalathu, and Jong-Su Jeon* (2022). Machine-learning-based seismic reliability assessment of bridge networks. Journal of Structural Engineering ASCE; 148(7): 06022002, July 1.
Mendgie Chen, Sujith Mangalathu, and Jong-Su Jeon* (2021). Bridge fragilities to network fragilities in seismic scenarios: an integrated approach. Engineering Structures; 237: 112212, June 15.
(Current) Assistant Professor, Kumoh National Institute of Technology, 2025/09 –
Research Assistant Professor at Jeon Research Group, 2020/05 – 2024/02
Ph.D., Department of Architectural Engineering, Hanyang University (2018)
Topic: Computational Model Development and Artificial Intelligence Application
Email: hpsonic@hanyang.ac.kr
Yewon Park, Chang Seok Lee*, and Jong-Su Jeon (2024). Hysteretic model parameters for seismic performance assessment of cyclically degraded reinforced concrete columns. Soil Dynamics and Earthquake Engineering; 179: 108519, April 1.
Chang Seok Lee, Sujith Mangalathu, and Jong-Su Jeon* (2024). Machine-learning-assisted drift capacity prediction models for reinforced concrete columns with shape memory alloy bars. Computer-Aided Civil and Infrastructure Engineering; 39(4): 595–616, February 15.
Chang Seok Lee and Jong-Su Jeon* (2023). Seismic risk-based optimization of tension-only shape-memory alloy device for steel moment-resisting frames. Engineering Structures; 296: 116976, December 1.
Sergei Shturmin, Chang Seok Lee, and Jong-Su Jeon* (2023). Lumped plasticity model for simulating the inelastic earthquake response of CFT columns. Journal of Constructional Steel Research; 211: 108196, December 1 .
Chang Seok Lee and Jong-Su Jeon* (2023). Risk-based seismic design of diagonal self-centering shape-memory alloy wire-based bracing system in multi-column bent bridges. Engineering Structures; 289: 116295, August 15.
Chang Seok Lee and Jong-Su Jeon* (2022). Drift limit state predictions of rectangular reinforced concrete columns with superelastic shape memory alloy rebars. Journal of Building Engineering; 54: 104545, August 15.
Chang Seok Lee and Jong-Su Jeon* (2022). Probabilistic residual deformation prediction model for rectangular reinforced concrete columns. Earthquake Engineering & Structural Dynamics; 51(9): 1994–2015, July 25.
Chang Seok Lee, Eunsoo Choi, and Jong-Su Jeon* (2022). Estimating the plastic hinge length of rectangular concrete columns reinforced with NiTi superelastic shape memory alloys. Engineering Structures; 252: 113641, February 1.
Chang Seok Lee and Jong-Su Jeon* (2022). Phenomenological hysteretic model for superelastic NiTi shape memory alloys accounting for functional degradation. Earthquake Engineering & Structural Dynamics; 51(2): 277-309, February 1.
Chang Seok Lee and Jong-Su Jeon* (2021). Adaptive hysteretic model for reinforced concrete columns including variations in axial force and shear span length. Earthquake Engineering & Structural Dynamics; 50(15): 4001–4031, December 1.
Muhammad Haseeb Alvi , Chang Seok Lee and Jong-Su Jeon* (2021). Model development and seismic performance evaluation of rectangular reinforced concrete columns with short lap splices in existing building frames. Engineering Structures; 245: 112922, October 15.
Chang Seok Lee, Yewon Park, and Jong-Su Jeon* (2021). Model parameter prediction of lumped plasticity model for nonlinear simulation of circular reinforced concrete columns. Engineering Structures; 245: 112820, October 15.
(Current) Post-Doctoral Researher, New York University Abu Dhabi, United Arab Emirates, 2024/01 –
Post-Doctoral Researcher at Jeon Research Group, 2022/03 – 2023/12
Ph.D., Department of Civil and Environmental Engineering, Hanyang University (2022)
Topic: Deep Learning Application to Infrastructure Systems under Extreme Loading
Email: ba2702@nyu.edu
Bilal Ahmed, Taehyo Park, and Jong-Su Jeon* (2025). Multi-stress damage and healing mechanics in quasi-brittle materials: Theoretical overview. International Journal of Damage Mechanics; 34(6): 855–877, June 1.
Bilal Ahmed, Taehyo Park, and Jong-Su Jeon* (2025). Blast response and damage assessment of reinforced concrete slabs using convolutional neural networks. International Journal of Damage Mechanics; 34(5): 771–797, May 1.
Nadia Saleem, Sujith Mangalathu, Bilal Ahmed, and Jong-Su Jeon* (2024). Machine learning-based peak ground acceleration models for structural risk assessment using spatial data analysis. Earthquake Engineering & Structural Dynamics; 53(1): 152–178, January 1.
Bilal Ahmed, Sujith Mangalathu, and Jong-Su Jeon* (2023). Unveiling out-of-distribution data for reliable structural damage assessment in earthquake emergency situations. Automation in Construction; 156: 105142, December 1.
Bilal Ahmed, Sujith Mangalathu, and Jong-Su Jeon* (2023). Generalized stacked LSTM for the seismic damage evaluation of ductile reinforced concrete buildings. Earthquake Engineering & Structural Dynamics; 52(11): 3477–3503, September 1.
Bilal Ahmed, Sujith Mangalathu, and Jong-Su Jeon* (2022). Seismic damage state predictions of reinforced concrete structures using stacked long short-term memory neural networks. Journal of Building Engineering; 46: 103737, April 1.
(Current) Assistant Professor, Kumoh National Institute of Technology, 2021/09 –
Research Assistant Professor at Jeon Research Group, 2019/04 – 2021/08
Ph.D., Department of Civil Engineering and Applied Mechanics, McGill University (2017)
Topic: Earthquake-Induced Loss Assessment of Building Frames
Email: shwang46@kumoh.ac.kr
Seong-Hoon Hwang, Mehran Shokrabadi, Sujith Mangalathu, and Jong-Su Jeon* (2022). Effect of interior gravity framing system and composite floor slab action on the lifetime seismic risk assessment of steel frame buildings subjected to mainshock-aftershock sequence. Structures; 45: 2332–2342, November 1.
Seong-Hoon Hwang, Sujith Mangalathu, Jinwon Shin, and Jong-Su Jeon* (2022). Estimation of economic seismic loss of steel moment-frame buildings using a machine learning algorithm. Engineering Structures; 254: 113877, March 1.
Seong-Hoon Hwang, Sujith Mangalathu, and Jong-Su Jeon* (2021). Quantifying the effects of long-duration earthquake ground motions on the financial losses of steel moment resisting frame buildings of varying design risk category. Earthquake Engineering & Structural Dynamics; 50(5): 1451–1468, April 25.
Seong-Hoon Hwang, Sujith Mangalathu, Jiuk Shin, and Jong-Su Jeon* (2021). Machine learning-based approaches for seismic demand and collapse of ductile reinforced concrete building frames. Journal of Building Engineering; 34: 101905, February 1.
Sujith Mangalathu, Seong-Hoon Hwang, and Jong-Su Jeon* (2020). Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach. Engineering Structures; 219: 110927, September 15.
Sujith Mangalathu, Hansol Jang, Seong-Hoon Hwang, and Jong-Su Jeon* (2020). Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls. Engineering Structures; 208: 110331, April 1.
Seong-Hoon Hwang, Jong-Su Jeon*, and Kyungkoo Lee* (2019). Evaluation of economic losses and collapse safety of steel moment frame buildings designed for risk categories II and IV. Engineering Structures; 201: 109830, December 15.
Sujith Mangalathu, Seong-Hoon Hwang*, Eunsoo Choi, and Jong-Su Jeon* (2019). Rapid seismic damage evaluation of bridge portfolios using machine learning techniques. Engineering Structures; 201: 109785, December 15.
(Current) Staff Engineer, Samsung Electro-Mechanics Co., LTD.
Ph.D., Mechanical Design Engineering, Hanyang University (2020)
Thesis: Dynamic Motion and Structural Response Characteristics of Floating Offshore Wind Turbine Structures in Extreme Marine Environments
Email: taewon713.kang@samsung.com
Tae-Won Kang, Hyun-Ik Yang, and Jong-Su Jeon* (2019). Earthquake-induced sloshing effects on the hydrodynamic pressure response of rigid cylindrical liquid storage tanks using CFD simulation. Engineering Structures; 197: 109376, October 15.
(Current) Ph.D. Student, University of Toronto
Researcher at Jeon Research Group, 2024/03 – 2024/06
M.S., Department of Civil and Environmental Engineering, Hanyang University (2024)
Topic: Reinforcment Learning-Based Seismic Design of Columns
Email: yoonjae0307@gmail.com
(Current) Ph.D. Student, The Ohio State University
Researcher at Jeon Research Group, 2023/03 – 2023/07
M.S., Department of Civil and Environmental Engineering, Hanyang University (2023)
Topic: Machine-Learning-Based Multi-Parameter Fragility Functions
Email: byeul1212@hanyang.ac.kr
(Current) Post-Doctoral Researcher, The University of Texas at Austin
Researcher at Jeon Research Group, 2019/03 – 2019/07
M.S., Department of Civil and Environmental Engineering, Hanyang University (2019)
Topic: Machine Learning Based Failure Mode Identification of RC Shear Walls
Email: let908@utexas.edu
Sujith Mangalathu, Hansol Jang, Seong-Hoon Hwang, and Jong-Su Jeon* (2020). Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls. Engineering Structures; 208: 110331, April 1.