JONGHYUN “HARRY” LEEAssociate Professor, WRRC; Associate Professor, Civil & Environmental Engineering

Office: Holmes Hall 336

JONGHYUN “HARRY” LEEAssociate Professor, WRRC; Associate Professor, Civil & Environmental Engineering

Jonghyun Harry Lee



  • PhD, Civil and Environmental Engineering, Stanford University, 2014
  • MS, Civil and Environmental Engineering, Colorado State University, 2009
  • BS, Civil, Urban and Geosystem Engineering, Seoul National University, 2007


  • Groundwater flow and reactive transport modeling in high performance computing environment and model upscaling
  • Numerical linear algebra
  • Large-scale inverse modeling with uncertainty quantification
  • Optimal control and stochastic optimization of water resources system
  • Big environmental data analysis with machine learning


Jonghyun "Harry" Lee is an Associate Professor of Civil and Environmental Engineering and Water Resources Research Center, teaching teaching groundwater modeling, data assimilation, optimization, and machine learning. He is also an Oak Ridge Institute for Science and Education Faculty Fellow and Google Cloud Research Innovator (2022–2023).

Professor Lee’s research interests focus on optimal management of water resources systems integrating numerical modeling, characterization, and optimization with big environmental data and machine learning. His main research projects are about (1) the development of numerical groundwater flow and reactive transport models for predicting freshwater-seawater interaction in Hawaiian aquifers, (2) the modeling and prediction of enhanced geothermal energy recovery in the Utah FORGE (Frontier Observatory For Research In Geothermal Energy) site, and (3) subsurface carbon storage site characterization and performance assessment.  Professor Lee’s other ongoing and previous research projects have focused on groundwater contaminant remediation, reactive transport modeling of trace organic chemicals, geochemical heterogeneity characterization, aquifer recharge and recovery, real-time gas pipe leak detection, riverine and nearshore bathymetry identification, spatio-temporal rainfall interpolation, and multiphysics modeling of hydrogeophysics and hydromechanics.

Professor Lee earned his Ph.D. in Civil and Environmental Engineering from Stanford University, in Stanford, California. He earned an M.S .in Civil and Environmental Engineering from Colorado State University in Fort Collins, Colorado and a B.S. in Civil, Urban and Geosystem Engineering in Seoul, South Korea.

Click here for Jonghyun "Harry" Lee Faculty Spotlight

Jonghyun "Harry" Lee 2021–2022 Publications


Nearshore and Riverine Environment Characterization for Military Vehicle Mobility Assessment

Savannah River Bathymetry estimation using surface flow velocity
Nearshore and riverine bathymetry estimation using physics model-based data assimilation and machine learning

CSSI Elements: ALE-AMR Framework and the Pisale Codebase

pde graphic
This project will provide access to software for modeling with PDEs and also apply the code for simulations of complex groundwater flow processes in the Hawaiian islands characterized by highly heterogeneous volcanic rocks and dynamic interaction between freshwater and seawater.

DOE FE NETL Science-Informed Machine Learning for Accelerating Real Time Decisions in Subsurface Applications (SMART) Initiative Phase 1

Machine-learning based data assimilation for CO2 storage sites.
Machine-learning based data assimilation for CO2 storage sites.

Deep Learning Applications for Image Reconstruction and Analysis in Earth Sciences

Development of machine learning techniques for 3D digital rock reconstruction.
Development of machine learning techniques for 3D digital rock reconstruction.

‘Ike Wai: Securing Hawai‘i’s Water Future

the extend of modeling area (left) and its estimated hydraulic conductivity distribution (right)
Numerical modeling techniques for density-driven flow in coastal aquifers and its application to West Hawai‘i Area Aquifers in island of Hawai‘i.