Bio
Ming Fan is a research scientist in the Computational Sciences and Engineering Division at Oak Ridge National Laboratory (ORNL). His research focuses on the intersection of machine learning, surrogate modeling, inverse modeling, uncertainty quantification, and high-performance computing. Ming collaborates with interdisciplinary teams of Earth and computational scientists to develop novel AI/ML methodologies, advancing the field of Earth sciences.
Publications
June 2024
Journal: Journal of Hydrology
February 2024
Journal: International Journal of Greenhouse Gas Control
December 2023
Journal: Environmental Modelling & Software
December 2023
Journal: Journal of Hydrology: Regional Studies
October 2023
Conference Paper