Our research group interests are mainly focused on the numerical methods for PDEs using spectral/pseudospectral methods, radial basis function methods, discontinuous Galerkin discretizations, uncertainty quantification, and reduced basis methods. Core faculty members for this group:

GR group is interested in different aspects of theoretical and computational gravitational physics, in particular: Black Holes and Quantum Cosmology. Core faculty members for this group:

CA group is interested in computational and theoretical studies of giant molecular clouds, star formation, and Type Ia supernovae. Core faculty members for this group:

Our research group develops and utilizes accurate and efficient numerical models to study multiphase flows in various industrial and research applications. Applications include energy systems (wave energy converters, wind turbines, fuel atomizers), materials processing (spray coating), and "green" refrigeration systems. Core faculty members for this group:

Our research group is involved in computational and theoretical studies of the upper ocean submesoscale and mesoscale processes. This multiscale problems spans the small scale turbulence (mm scale) and oceanic mixed-layer processes to sub-mesoscale frontal gradients (Km scale) and mesoscale ocean eddies (hundreds of kms), and their role in setting up the large-scale balances in the ocean at the scale of the planet Earth. Core faculty members for this group:

CS2M focuses on computational modeling of solids and structures. Applications of interest include, stability-critical structures, multiphase and multifunctional materials, topology optimization, uncertainty quantification, structural dynamics, fracture mechanics, quantitative engineering sustainability. Core faculty members for this group:

Our research group studies ways in which students at all levels, K-20, can engage more deeply with mathematical thinking through computational approaches. We seek to understand how students and teachers respond to serious mathematical and scientific questions that involve extensive computation, and what sorts of computational investigations are feasible for students at different stages of development. Core faculty members for this group:

Data science is an interdisciplinary research effort in data-intensive methodologies and applications. Research focuses on data collection, analysis, and visualization in diverse application areas. Some of these areas include artificial intelligence, autonomous mobile robotics, nursing informatics, bioinformatics, and scientific data management and reproducibility. Core faculty members for this group: