I hold a PhD in Computational Fluid Mechanics with a strong focus on developing innovative computational tools and open-source software for advanced fluid dynamics simulations. My expertise spans across fluid modeling, numerical methods, and high-performance computing. I am passionate about research that drives technological advancements in the field, with a particular interest in optimizing and refining computational algorithms.
"Numerical Simulations of Cavitation In Blood Vessels Using Parallel Front Tracking Method" - Supervisor : Dr. Stephane Zaleski
- Research addresses targeted drug delivery using acoustic cavitation of microbubbles, modeled via immersed boundary + front tracking methods for compressible multiphase flows and fluid–structure interactions. - The approach is embedded in an adaptive mesh refinement (AMR) framework to capture complex, localized phenomena efficiently. - Designing scalable partitioning strategies for Eulerian (AMR) and Lagrangian (surface mesh) data structures, ensuring efficient parallel communication. - A new Lagrangian mesh partitioning scheme, integrated with a front-tracking, VoF-based All-Mach solver handling compressibility and surface tension.
"Optimization of Surface Mesh Partition for Interfacial Flows" - Supervisor : Dr. Stephane Zaleski
- Optimisation of mesh partition startegies and communication strategies in interfacial flow simulations involving both surface and volume meshes
"Simulation of Interfacial Flows using Block-based AMR Meshes" - Supervisor : Dr. Gourav Tomar
1. Dr. Stephane Zaleski
Sorbonne University, UPMC Campus, Paris
stephane.zaleski@sorbonne-universite.fr
2. Dr. Stephane Popinet
Sorbonne University, UPMC Campus, Paris
popinet@basilisk.fr
3.
Dr
Professor, Department of Mechanical Engineering.
IISc Bengaluru,
gtom@iisc.ac.in