Research

My research lies in the broad area of applied and computational mathematics, with a focus on partial differential equation(PDE)-constrained optimization, inverse problems and numerical analysis of PDEs. In my research I am passionate about understanding the interplay of data and PDE models. I use efficient tools in data science for specific problems in physics and engineering with a focus on kinetic and wave type equations. In this regard, I have two main lines of research.

1. Given sufficient data, how can we improve PDE models?

I am deeply interested in developing mathematical strategies for estimating unknown or partially known parameters in PDE models. Specifically, we investigate the reconstruction of heat conductance coefficients using the phonon transport equation, which is a kinetic equation. We also study the associated diffusion limit of the phonon transport equation.


2. How do PDEs help in tuning data?

I am also interested in understanding how PDEs aid in improvising data collection. Specifically, we use the paraxial wave equation (PWE) to find optical beams that have a certain desired property after propagating through atmospheric or oceanic turbulence. 


other academic projects