Research

Research Interests:

1. Fluid-Structure Interaction

2. CFD and High-Performance Computing

3. Immersed Boundary Method

4. Topology Optimisation

5. Experiments in Thermo-Fluids

6. Nonlinear Dynamics

7. AI/ML in Fluid Dynamics

8. Bio-Fluids

9. Turbulence Modeling

Overview

As an assistant professor at IIT Kharagpur and lead of the TFDO Lab, my research integrates high-fidelity simulations with advanced experimental techniques to solve complex problems in fluid mechanics and heat transfer.

Our core expertise lies in fluid-structure interaction (FSI) and nonlinear dynamics, where we investigate the coupling between deformable structures and chaotic flows, such as vortex-induced vibrations. We specialise in immersed boundary-based solver development and machine learning to create efficient, reduced-order models for multi-physics systems.

Complementing our numerical work, we employ experimental techniques – including wind tunnel testing and the single-blow method to validate thermal-fluid performance and optimise transport phenomena. From vascular remodelling in biomechanics to topology optimisation in engineering design, our lab strives to bridge the gap between fundamental flow physics and transformative industrial applications.

Opportunities are always open at the TFDO Lab for highly motivated PhD aspirants and postdoctoral fellows. We are looking for candidates with a strong foundation in mechanical or aerospace engineering who are eager to bridge the gap between fundamental fluid mechanics and transformative industrial applications. Interested researchers are encouraged to reach out with their CV and a brief research statement to explore potential collaborations and funded positions at IIT Kharagpur.