Le Xuan Hien

レ　スアン　ヒエン

Associate Professor, Research and Development Initiative  

研究開発機構准教授

Nationality　

Vietnam

Degree

Ph.D. 

Research History

Lecturer, Division of Hydraulic, Faculty of Water Resources Engineering, Thuyloi University, Vietnam (2012.9 - 2017.8) 

PhD Candidate, Constructional Disaster Prevention and Environmental Engineering, Kyungpook National University, South Korea (2017.9-2020.8)

Post-Doctoral Researcher, Disaster Prevention Emergency Management Institute, Kyungpook National University, South Korea (2020.9 - 2024.5)

Associate Professor, Real-time Flood Prediction R&D Unit, Research and Development Initiative, Chuo University, Japan (2024.6 -）

Research Interests

Deep Learning, Hydrology, Machine Learning, Rainfall-Runoff Modeling, Landslides, Remote Sensing, Riverbed Load, Satellite Imagery, Water Resources.

Top 10 Papers

1.     Xuan-Hien Le, HV Ho, G Lee, and S Jung (2019). Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting. Water. https://doi.org/10.3390/w11071387

2.     Xuan-Hien Le, G Lee, K Jung, H An, S Lee, and Y Jung (2020). Application of Convolutional Neural Network for Spatiotemporal Bias Correction of Daily Satellite-Based Precipitation. Remote Sensing. https://doi.org/10.3390/rs12172731

3.     Xuan-Hien Le, DH Nguyen, S Jung, M Yeon, and G Lee (2021). Comparison of Deep Learning Techniques for River Streamflow Forecasting. IEEE Access, 9, 71805-71820. https://doi.org/10.1109/ACCESS.2021.3077703

4.     Xuan-Hien Le, LN Van, GV Nguyen, DH Nguyen, S Jung, and G Lee (2023). Towards an Efficient Streamflow Forecasting Method for Event Scales by Machine Learning Techniques. Journal of Hydrology: Regional Study. https://doi.org/10.1016/j.ejrh.2023.101328  

5.     Xuan-Hien Le, LN Van, DH Nguyen, GV Nguyen, S Jung, and G Lee (2023). Comparison of Bias-Corrected MultiSatellite Precipitation Products by Deep Learning Framework. International Journal of Applied Earth Observation and Geoinformation. https://doi.org/10.1016/j.jag.2022.103177 

6.     Xuan-Hien Le, DH Nguyen, and G Lee (2023). Performance Comparison of Bias-Corrected Satellite Precipitation Products by Various Deep Learning Schemes. IEEE Transactions on Geoscience and Remote Sensing.  https://doi.org/10.1109/TGRS.2023.3299234

7.     Xuan-Hien Le, HT Tin, M Song, and G Lee (2024). Quantifying Predictive Uncertainty and Feature Selection in Riverbed Load Estimation: A Multi-Model Machine Learning Approach with Particle Swarm Optimization. Water. https://doi.org/10.3390/w16141945 

8.     Xuan-Hien Le, C Choi, S Eu, M Yeon, and G. Lee (2024). Quantitative Evaluation of Uncertainty and Interpretability in Machine Learning-Based Landslide Susceptibility Mapping Through Feature Selection and Explainable AI. Frontiers in Environmental Science. https://doi.org/10.3389/fenvs.2024.1424988 

9.     Xuan-Hien Le, LTT Hien, HV Ho, and G Lee (2024). Benchmarking the Performance and Uncertainty of Machine Learning Models in Estimating Scour Depth at Sluice Outlets. Journal of Hydroinformatics. https://doi.org/10.2166/hydro.2024.297 

10.  Xuan-Hien Le, Y Kim, DV Binh, S Jung, DH Nguyen, and G Lee (2024). Improving Rainfall-Runoff Modeling in the Mekong River Basin using Bias-corrected Satellite Precipitation Products by Convolutional Neural Networks. Journal of Hydrology.  https://doi.org/10.1016/j.jhydrol.2024.130762