Research

Numerical analysis and scientific computing for time-dependent PDEs and multiphysics systems.

Research Interests

My research interests lie in Computational and Applied mathematics, primarily in time integration of partial differential equations (PDEs), numerical analysis and scientific computing. A large portion of my research has been devoted to the construction, analysis, and implementation of fast, robust and accurate numerical methods for the time integration of multi-physics, multi-rate PDEs arising in engineering and natural sciences. I have also developed and am further developing new numerical techniques for meteorology, numerical weather prediction, computational fluid dynamics, biological systems, combustion, and real-time simulations of complex systems used in visual computing. I am also interested in geometric numerical integration, splitting methods, and scattered data approximation/interpolation problems using mesh-free methods.

Current Research: My current research is supported by NSF grants DMS-2012022 and DMS-2309821 and a startup fund from TTU.

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My significant contributions have been in the following themes:

  1. Time integration of stiff PDEs/evolution equations
  2. Exponential integrators
  3. Multirate time integrators
  4. Development of innovative numerical methods for meteorological models
  5. Real-time simulations of elastodynamics systems

Below are some simulation videos and pictures resulted from our work for applications in meteorology/weather prediction and visual computing (computer animation of elastodynamics models):

The vorticity field for the unstable jet test
Simulation of hair during a woman’s head shake carried out with our method (highlighted by SIGGRAPH 2017)
image
Simulation of a frontal crash of a car into a wall

Past Research: Some of my earlier works include

  1. BVPs arising in the study of transverse vibrations of a hinged beam
  2. Structure-preserving numerical integration
  3. Scattered data approximation/interpolation problems using RBFs.