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Birendra Jha is a geoscientist specializing in the application of research modeling for groundwater flows, contaminant transport, induced seismicity, subsidence, hydraulic fracturing, enhanced oil recovery, and reservoir characterization. He obtained his Doctoral Degree in Civil Environmental Engineering from the Massachusetts Institute of Technology and has a Master's Degree in Petroleum Engineering from Stanford University. His research interests include coupled multi-physics processes of flow, transport, and mechanical deformation in porous media, employing mathematical and computational approaches to study geophysical systems. He leads a research group at USC's GEM Lab, focusing on the physics and mathematics of geophysical fluid flows and rock deformation while creating theoretical computational tools. His work integrates environmental engineering, geophysics, hydrogeology, and computational mechanics, aiming to address engineering challenges related to energy and the environment through innovative technologies, including machine learning.
Requires general GRE for all graduate degrees.