JONGHYUN “HARRY” LEE

Jonghyun Harry Lee 

Jonghyun “Harry” Lee
Associate Professor, Water Resources Research Center & Department of Civil and Environmental Engineering
University of Hawai'i at Manoa

Contact: jonghyun.harry.lee at hawaii dot edu
Office: Holmes 336

Research Interests

  • Scalable numerical modeling of subsurface flow and reactive transport in HPC

  • Fast inverse modeling and data assimiliation with uncertainty quantification

  • Stochastic optimization and optimal control

  • Physics-informed deep learning and big data analytics

  • Numerical linear algebra

Recent News

PhD positions available!

Lee is on Sabbatical until Aug. 2025 working at NASA JPL and Caltech.

[12/13/2024] AGU24 Poster H53F-1153 Modeling upscaled mass discharge from complex DNAPL source zones using a Bayesian Neural Network: prediction accuracy, uncertainty quantification and source zone feature importance

[12/13/2024] AGU24 Poster H53F-1160 Latent space-based data assimilation for real-time forecasting during geologic carbon storage

[12/12/2024] AGU24 Poster OS41C-0440 A novel data-driven, physics-guided neural emulator for predicting coastal hydrodynamics

[12/09/2024] AGU24 Poster H04-12 Poster Graph Neural Network-Based Runoff Prediction for Large Sets of Catchments

[12/09/2024] AGU24 Poster H02-33 Poster Value of SWOT data in river bathymetry and discharge estimation

AAAI 2021 Fall Symposium on Science-guided AI (SGAI-AAAI-21)

AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences (AAAI-MLPS)

PBBFMM3D: Parallel Black-Box Fast Multipole Method for Non-oscillatory Kernels for scalable O(N) matrix-vector multiplication

pyPCGA: Python package for Principal Component Geostatistical Approach released in public

Education

Awards

  • NREL Faculty-Applied Clean Energy Sciences (FACES) Fellow, 2024

  • NSF-NASA EPSCoR Research Fellow, 2023-2025

  • Google Cloud Research Innovator, 2022

  • Oak Ridge Institute for Science and Education (ORISE) Faculty Fellow, 2018-2023

  • Oak Ridge Institute for Science and Education (ORISE) Fellowship, 2016-2017

  • One of 15 early career researchers accepted for IdeaLab 2015: Inverse Problems and Uncertainty Quantification, Institute for Computational and Experimental Research in Mathematics, Brown University, Rhode Island, USA, July 6-10, 2015

  • Charles H. Leavell Graduate Student Fellowship, Stanford University, 2012-2014

  • Borland Hydrology New Graduate Student Scholarship, Colorado State University, 2008

Editorial Board

Associate Editor in Journal of Hydrology (Elsevier): 2018 - 2023

Guest Editor in Stochastic Environmental Research and Risk Assessment (Springer) Special Issue: Advances in Uncertainty Quantification for Water Resources Applications, 2021