Projects per year
Personal profile
Research Expertise
Unstructured network generation, groundwater numerical model network platform development, environmental analysis
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where I-Hsien Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Development and Validation of a Machine Learning Inverse Model for Estimating Aquifer Hydraulic Conductivity( I )( I )
Lee, I.-H. (PI)
1/08/19 → 31/07/20
Project: Research
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Development and Validation of Numerical Simulation and Experiment of Radionuclide Transport on Fractured Formation Parameters Estimation
Lee, I.-H. (PI)
1/08/18 → 31/10/19
Project: Research
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Development of Flow and Transport Model for Dual Domain Fractured Formation
Lee, I.-H. (PI)
1/08/17 → 31/07/18
Project: Research
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A Multimodel Framework for Quantifying Flow and Advective Transport Controlled by Earthquake-Induced Canister Failures in a Reference Case for Radioactive Waste Geological Disposal
Yu, Y. C., Chen, C. J., Chung, C. C., Ni, C. F., Lee, I. H., Wu, Y. C. & Lin, T. Y., Jul 2023, In: Energies. 16, 13, 5081.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Numerical Assessments of Flow and Advective Transport Uncertainty for Performance Measures of Radioactive Waste Geological Disposal in Fractured Rocks
Yu, Y. C., Shen, Y. H., Lee, T. P., Ni, C. F. & Lee, I. H., Aug 2022, In: Energies. 15, 15, 5585.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Predicting Heavy Metal Concentrations in Shallow Aquifer Systems Based on Low-Cost Physiochemical Parameters Using Machine Learning Techniques
Huynh, T. M. T., Ni, C. F., Su, Y. S., Nguyen, V. C. N., Lee, I. H., Lin, C. P. & Nguyen, H. H., Oct 2022, In: International Journal of Environmental Research and Public Health. 19, 19, 12180.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations -
Quantitation of the uncertainty in the prediction of flow fields induced by the spatial variation of the fracture aperture
Chang, C. M., Ni, C. F., Li, W. C., Lin, C. P. & Lee, I. H., 20 Mar 2022, In: Engineering Geology. 299, 106568.Research output: Contribution to journal › Article › peer-review
5 Scopus citations -
Stochastic analysis of the variability of groundwater flow fields in heterogeneous confined aquifers of variable thickness
Chang, C. M., Ni, C. F., Li, W. C., Lin, C. P. & Lee, I. H., Sep 2022, In: Stochastic Environmental Research and Risk Assessment. 36, 9, p. 2503-2518 16 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations