JONGHYUN “HARRY” LEE
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Jonghyun “Harry” Lee |
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
[9/3/2024] Our manuscript “CO2 Storage Site Characterization using Ensemble-based Approaches with Deep Generative Models” accepted in Journal of Petroleum Science and Engineering
[5/1/2024] Lee is selected as NREL Faculty-Applied Clean Energy Sciences (FACES) Program fellow
AAAI 2021 Fall Symposium on Science-guided AI (SGAI-AAAI-21)
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
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