ISU Department of Mathematics and Statistics Team Awarded Collaborative Department of Energy Grant
The U.S. Department of Energy (DOE) awarded the Idaho State University Department of Mathematics and Statistics team a research grant under the program "Scientific Machine Learning for Complex Systems."
The team, led by Professor Yury Gryazin, is a part of a Multi-Universities grant proposal
"Domain-Aware Advanced Gaussian Process Driven UQ for Complex Stochastic Systems."
"Domain-Aware Advanced Gaussian Process Driven UQ for Complex Stochastic Systems."
This collaborative project involves Lawrence Berkeley National Laboratory (LBNL) and Rice University. ISU team is a part of a collaboration effort with top research institutes in the country in the area of Scientific Machine Learning for Complex Systems, one of the fast-developing areas on the edge between Applied Mathematics and Statistics. LBNL is home to 16 Nobel Prize winners; two of them won this prize in 2022.
The ISU part of the project focuses on uncertainty quantification of the subsurface imaging. The proposed machine learning methodology can be used to model the scattering wave phenomenon caused by various other generators of electromagnetics or sound waves and produce uncertainty estimation in recovered images.
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