
معرفی
Dr. Jonghyun Harry Lee is an Associate Professor at the University of Hawai'i at Manoa with joint appointments in the Water Resources Research Center and Department of Civil and Environmental Engineering. He holds a PhD in Civil and Environmental Engineering from Stanford University (2014), MS from Colorado State University (2009), and BS from Seoul National University (2007).
His research integrates high-performance computing with environmental modeling, focusing on:
- Scalable inverse methods for subsurface systems
- Physics-informed neural operators for coastal dynamics
- Uncertainty quantification in hydrological systems
- Machine learning applications for satellite hydrology
- Generative models for geophysical characterization
Recent publications (2021-2025) demonstrate strong emphasis on ML-enhanced environmental modeling, with 70% of articles combining deep learning with traditional physical models. Primary domains include contaminant transport, carbon sequestration monitoring, and coastal hydrodynamics.
Awards and fellowships:
- NREL FACES Fellow (2024)
- NSF-NASA EPSCoR Fellow (2023-2025)
- Google Cloud Research Innovator (2022)
- ORISE Faculty Fellow (2018-2023)
- Charles H. Leavell Fellowship, Stanford
Dr. Lee currently advises multiple PhD students focused on ML applications in environmental systems. His group utilizes UH HPC, Google Cloud, and AWS resources, supported by NSF, NASA, and DOE grants. He leads development of open-source tools like pyPCGA for geostatistical inversion and teaches graduate courses in computational hydrology.
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