Bio
Ming Fan is a research scientist in the Computational Sciences and Engineering Division at 91°µÍø (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
July 2023
Journal: Geoenergy Science and Engineering
March 2023
Journal: Frontiers in Water
February 2023
Journal: Geoenergy Science and Engineering
December 2022
Journal: Journal of Machine Learning for Modeling and Computing
November 2022
Conference Paper