activity
20132023
most citedVariational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry

9 citations · 12 across the 6 of their papers we have counts for

collaborators

7 papers

physics.geo-ph2023

Improved methodology for deep aquifer characterization using hydrogeological, self-potential, and magnetotellurics data

Young-Ho Seo, Jonghyun Lee, Aly I. El-Kadi +1

Estimating subsurface properties like hydraulic conductivity using hydrogeological data alone is challenging in field sites with sparse wells. Geophysical data, including Self-pote…

physics.geo-ph2022

Accelerated 3D Electrical Resistivity Tomography with a Scalable Jacobian-free Approach

Jonghyun Lee

A Jacobian-free inversion method is presented to accelerate Electrical Resistivity Tomography (ERT) for shallow aquifer characterization. The ERT problem typically implements the a…

cs.LG2021★ 9 cited

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

Mojtaba Forghani, Yizhou Qian, Jonghyun Lee +4

Estimation of riverbed profiles, also known as bathymetry, plays a vital role in many applications, such as safe and efficient inland navigation, prediction of bank erosion, land s…

cs.LG2021

Deep learning-based fast solver of the shallow water equations

Mojtaba Forghani, Yizhou Qian, Jonghyun Lee +4

Fast and reliable prediction of river flow velocities is important in many applications, including flood risk management. The shallow water equations (SWEs) are commonly used for t…

cs.LG2020

Application of deep learning to large scale riverine flow velocity estimation

Mojtaba Forghani, Yizhou Qian, Jonghyun Lee +4

Fast and reliable prediction of riverine flow velocities is important in many applications, including flood risk management. The shallow water equations (SWEs) are commonly used fo…

stat.ML2020★ 2 cited

Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry

Yizhou Qian, Mojtaba Forghani, Jonghyun Harry Lee +4

Nearshore bathymetry, the topography of the ocean floor in coastal zones, is vital for predicting the surf zone hydrodynamics and for route planning to avoid subsurface features. H…

math.NA2013★ 1 cited

Randomized algorithms for Generalized Hermitian Eigenvalue Problems with application to computing Karhunen-Loève expansion

Arvind K. Saibaba, Jonghyun Lee, Peter K. Kitanidis

We describe randomized algorithms for computing the dominant eigenmodes of the Generalized Hermitian Eigenvalue Problem (GHEP) , with Hermitian and Hermitian and po…