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.

[5/14/2025] Caltech ERE Seminar “Toward accurate and scalable site characterization with multi-scale, multi-modal observations”

[5/3/2025] A First Look at River Discharge Estimation From SWOT Satellite Observations published in Geophysical Research Letters

[3/5/2025] AMRY ERDC CHL Research Forum Seminar “Advanced site characterization using machine learning-accelerated inversion and reduced-order models”

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

Ph.D. in Civil and Environmental Engineering, Stanford University, 2014
Advisor : Peter K. Kitanidis

M.S. in Civil and Environmental Engineering, Colorado State University, 2009
Advisor : Domenico Bau

B.S. in Civil, Urban and Geosystem Engineering, Seoul National University, 2007

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