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
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