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Birendra Jha is an Associate Professor at the University of Southern California's Viterbi School of Engineering, specializing in geoscience and civil environmental engineering. He holds a doctoral degree from the Massachusetts Institute of Technology (MIT) and has extensive experience in both academia and the petroleum industry. His research focuses on the modeling of groundwater flows, contaminant transport, induced seismicity, and hydraulic fracturing. He is particularly interested in coupled multi-physics processes that affect flow, transport, and mechanical deformation in porous media. His work emphasizes a mathematical and computational approach to studying geophysical systems, identifying dominant coupling mechanisms, and creating reduced-order models that are computationally efficient and physically insightful. He leads a research group at the USC Geoscience Energy and Mathematics (GEM) Lab, engaged in developing theoretical and computational tools, including the application of machine learning and artificial intelligence to address engineering challenges related to energy and environment. His research is situated at the intersection of environmental engineering, geophysics, hydrogeology, and computational mechanics.
Requires general GRE for all graduate degrees.