Jonghyun Lee

Associate Professor

University of Hawaii at Manoa

United States

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Jonghyun Lee is an Associate Professor at the University of Hawaii at Manoa, USA. His research focuses on advanced methodologies in groundwater modeling, including deep learning applications, statistical analysis for environmental data, and the exploration of groundwater dynamics. Recent publications highlight his expertise in CO2 storage site characterization, Bayesian neural networks for DNAPL source zones, and the integration of innovative geostatistical approaches in environmental studies.

Articles (13)

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

Collaborators (5)

Eric Darve

Associate Professor

Stanford University School of Engineering

UNITED STATES

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L. L. Bremer

UNITED STATES

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Henrietta Dulai

Professor

University of Hawai'i System

UNITED STATES

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Amalia Kokkinaki

Associate Professor

University of California, San Francisco

UNITED STATES

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Chao Chen

Assistant Professor

North Carolina State University

UNITED STATES

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Jonghyun Lee

Research Interests

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About

Articles (13)

Modeling Upscaled Mass Discharge From Complex DNAPL Source Zones Using a Bayesian Neural Network: Prediction Accuracy, Uncertainty Quantification and Source Zone Feature Importance

CO2 storage site characterization using ensemble-based approaches with deep generative models

Blending bathymetry: Combination of image-derived parametric approximations and celerity data sets for nearshore bathymetry estimation

Using Deep Learning to Model the Groundwater Tracer Radon in Coastal Waters

Integration of Deep Learning‐Based Inversion and Upscaled Mass‐Transfer Model for DNAPL Mass‐Discharge Estimation and Uncertainty Assessment

Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry

Inference of young groundwater ages and modern groundwater proportions using chlorofluorocarbon and tritium/helium-3 tracers from West Hawaii Island

Optimizing Automated Kriging to Improve Spatial Interpolation of Monthly Rainfall over Complex Terrain

A density-dependent multi-species model to assess groundwater flow and nutrient transport in the coastal Keauhou aquifer, Hawaii, USA

Elastic Full-Waveform Inversion Using Both the Multiparametric Approximate Hessian and the Discrete Cosine Transform

A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks

Fast and scalable earth texture synthesis using spatially assembled generative adversarial neural networks

PBBFMM3D: A parallel black-box algorithm for kernel matrix-vector multiplication

Collaborators (5)

Eric Darve

L. L. Bremer

Henrietta Dulai

Amalia Kokkinaki

Chao Chen

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