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
March 2025
Journal: Journal of Hydrometeorology
February 2025
Conference Paper
February 2025
Journal: Journal of Hydrology
November 2024
Journal: SPE Journal
November 2024
Journal: The International Conference for High Performance Computing, Networking, Storage, and Analysis