Publications
2026
- Accelerating stochastic simulation of post-failure landslide runout using a random graph neural network-based simulatorComputers and Geotechnics, 2026
- Operator learning for consolidation: An architectural comparison for DeepONet variantsComputers and Geotechnics, 2026
- Differentiable Graph Neural Network Simulator for the Back-Analysis of Post-Liquefaction Residual Strength from Flow Failure RunoutarXiv preprint arXiv:2602.11621, 2026
- A Hybrid GNN-FEM Framework for Phase-Field Fracture Simulation. Physics-Preserving Hybridization for Generalizable Surrogate ModelingarXiv preprint arXiv:2606.19378, 2026
- Critical evaluation of PINN for FWD inverse analysis and differentiable FEM as an alternativearXiv preprint arXiv:2606.03210, 2026
- The interplay between pore and particle characteristics in sands based on computed tomographic image analysesPowder Technology, 2026
- Differentiable graph neural network simulator for forward and inverse modeling of multi-layered slope system with multiple material propertiesSoils and Foundations, 2026
2025
- Tunnel lining segmentation from ground-penetrating radar images using advanced single-and two-stage object detection and segmentation modelsComputer-Aided Civil and Infrastructure Engineering, 2025
- Field data-based prediction of local scour depth around bridge piers using interpretable machine learningTransportation Geotechnics, 2025
- Configuration Effects in Lightweight Deflectometer Testing and a Normalization Framework for Comparable In-Situ ModulusAvailable at SSRN 6568465, 2025
2024
- Development of a data acquisition system for lightweight deflectometer using Raspberry PiAvailable at SSRN 6379704, 2024
- Removal Efficiency of Bottom Ash and Sand Mixtures as Filter Layers for Fine Particulate MatterMaterials, 2024
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- Application of Mask R-CNN Algorithm to Detect Cracks in Concrete StructureJournal of Korean Geotechnical Society, 2024
- Sensitivity analysis of factors influencing the settlement of buried pipes installed beneath roads using explainable machine learning techniquesJournal of the Korean Asphalt Institute, 2024
- Three-dimensional granular flow simulation using graph neural network-based learned simulatorIn Geo-Congress 2024, 2024
2023
- Accelerating particle and fluid simulations with differentiable graph networks for solving forward and inverse problemsIn Proceedings of the SC’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 2023
2021
- Prediction models based on regression and artificial neural network for moduli of layers constituted by open-graded aggregatesMaterials, 2021
- Evaluation of p-y Curves for Group Piles in Cohesive Soil Based on 3D Numerical AnalysisJournal of the Korean Society of Hazard Mitigation, 2021
2020
- Compaction quality monitoring of open-graded aggregates by light weight deflectometer and soil stiffness gaugeSustainability, 2020
2019
- Resilient Modulus and Permanent Deformation of 40-mm Open-Graded Aggregates based on Repeated-Load Triaxial TestsJournal of the Korean Society of Hazard Mitigation, 2019
2018
- Coefficient of subgrade reaction for the permeable block and base system at Korea GI and LID centerIn Solving Pavement and Construction Materials Problems with Innovative and Cutting-edge Technologies: Proceedings of the 5th GeoChina International Conference 2018, 2018
- Assessment of field compaction of aggregate base materials for permeable pavements based on plate load testsSustainability, 2018
2017
- Elastic modulus and layer coefficient of permeable block pavements based on plate load testsJournal of the Korean Geotechnical Society, 2017