Research Vision
My research vision is to study environmental flows at a wide range of spatial and temporal scales utilizing the most accurate, efficient, flexible, and robust numerical models available. Such models help interpret and extend the results of field and laboratory studies, and provide predictive tools for both engineering and science. My research provides a new capability for numerical modeling of environmental fluids.
Recent Research
My current research area is the study of multiscale environmental flows using the adaptive mesh refinement (AMR) methodology developed for my dissertation. More specifically:
Shear instabilities on interfacial internal gravity waves
Density driven flows with complex geometry
Biological flows in highly complex geometry
Second-order accurate AMR algorithms for solving the Navier-Stokes equations
Fourth-order accurate AMR algorithms for solving Poisson's equation
