Learning porous media multi-physics across scales
We develop new mathematical and computational approaches by integrating physics-based multiscale models, statistical learning methods and data to address complex multi-physics problems in engineering. Our research focuses on mechanics of porous materials, fluid transport, solid-fluid interactions, and thermo-chemo-mechanical coupling with applications ranging from geomaterials for subsurface water transport, energy storage and production to soft biological materials.
Mina Karimi is an assistant professor of Mechanical Engineering at Purdue University. She received her Ph.D. in Computational Mechanics from Carnegie Mellon University, where she received the Mao Yisheng outstanding dissertation award from the Civil and Environmental Engineering Department. She completed her postdoctoral training in Mechanical and Civil Engineering Department at the California Institute of Technology. Her research lies at the intersection of computational mechanics and applied mathematics, focusing on integrating physics-based models with statistical learning methods to address multiscale multi-physics challenges of transport in porous media.