Research Interests

Atmospheric flows

Atmospheric convection, weather and climate modeling, moist convection, stratified turbulence, turbulent mixing, cloud dynamics, large-eddy simulations, subgrid-scale modeling.

Turbulent convection

Compressible convection in stars and atmosphere, Rayleigh-Bénard convection, extreme turbulence, heat and momentum transport scaling, boundary layer dynamics, nonlinear heat transfer, plume dynamics, fluid instabilities.

High Performance Computing (HPC)

MPI parallelism, GPU acceleration, scalable solvers, direct numerical simulation (DNS), finite volume and difference methods, large-scale simulations, code optimization, supercomputing architectures.

Turbulence and nonlinear dynamics

Energy cascade, scale-by-scale energy transfer, spectral energy flux, nonlinear interactions, compressible turbulence, multiscale modeling, chaotic systems, flow intermittency, dynamical systems theory.

Research Projects

Modeling Earth’s atmosphere using numerical simulations

Currently, we are simulating moist convection with Earth-like parameters, including rotation, to better understand atmospheric dynamics. These high-resolution simulations aim to capture the complex interplay of turbulence, convection, and large-scale circulation.

Supersonic turbulence

We perform direct numerical simulations of supersonic turbulence using GPU-accelerated DHARA and high-order TENO scheme. Our focus is on multiscale energy transfers, shock–turbulence interactions, and their role in astrophysical and high-speed flow environments.

Fully-compressible convection in turbulent regime

We investigates compressible turbulent convection at extreme Rayleigh numbers. These studies reveal classical heat-transport scaling laws and provide insights into highly nonlinear regimes relevant to both astrophysics and geophysical flows.