Physics-Informed Machine Learning for Subsurface Modeling
Daniel Tartakovsky has received his BSc and MSc in Applied Mathematics from Kazan University, Russia in 1991 and PhD in Hydrology from University of Arizona in 1996. He was a Technical Staff Member and Team Leader at Los Alamos National Laboratory (1996-2005) and a Professor in the Department of Mechanical and Aerospace Engineering at University of California San Diego (2005-2017). Since 2017 he is a Professor in Energy Resources Engineering Department at Stanford University. His research interests include environmental fluid mechanics, uncertainty quantification and risk assessment, data assimilation and machine learning, and multiscale modeling. He has published over 200 articles in these fields, and served on the editorial boards of many related journals.
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