Research

My research interests lie in the area of Fluid flow and Heat transfer specifically in Computational Fluid Dynamics (CFD). I have never restricted myself to one area but have continuously looked for opportunities to increase my perspective. Over my journey, I have worked on Hydrodynamics, Renewable energy, Steelmaking and so on... My research experience includes working with various research groups at ABB Corporate Research Center (Bangalore), Indian Institute of Technology-Delhi (New Delhi), Indian Institute of Science (Bangalore), CSIR - Central Mechanical Engineering Research Institute (Durgapur) Currently involved with Bernal Institute, University of Limerick (Ireland).

Key interests are as follows:

At the heart of my professional endeavors lies a profound passion for advancing renewable and sustainable energy solutions. With a focus on innovation and sustainability, I am dedicated to contributing to a cleaner, greener future for generations to come. Currently working on GEOTHERMAL energy solutions to harness heat from the earth surface to power sustainable heating and electricity generation systems.  I am continually seeking new avenues to advance renewable energy technologies, reduce carbon emissions, and foster a more sustainable energy future. With a solid foundation in solar thermal energy and geothermal energy, I am poised to tackle the challenges and opportunities that lie ahead in the dynamic field of renewable energy.

Computational Fluid Dynamics is the backbone of all my explorations. I am thrilled about the notion of creating an actual physical system within a virtual environment and then adding physical law (governing equations) to analyse the system's spatial and temporal evolution. I have intensively worked on Reynolds Averaged Navier Stokes (RANS) based simulations along with Large Eddy Simulations (LES) and used these techniques to investigate the flow control, separated flows, multiphase flows, etc. Further, I have also worked on particle-particle, particle-bubble interactions in single and two-phase flows.

Hydrodynamics is the area of my Ph.D. in low Reynolds numbers. The coupled fluid flow over bluff bodies of various shapes is of great interest for several years because of its tremendous fundamental importance in the field of engineering. Karman vortex shedding with flow induced vibrations and noise may be responsible for the failure of structures. The work is highly inclined towards controlling the instabilities and understanding the thermo-fluidic behavior in forced and buoyancy driven flows.

A discrete phase model (DPM) is used with an aim to investigate the behavior of the particles from a Lagrangian view and a discrete perspective. For example, the non-metallic inclusions are inevitably present in steelmaking processes. If not minimized, inclusions can significantly hamper the quality of cast products. Such bottleneck problems are solved using two-phase coupling models and DPM techniques.

I have recently embarked on a journey to learn about artificial intelligence (AI) and machine learning (ML), recognizing their potential for applications. With a keen interest in leveraging these technologies, I am eager to explore how AI and ML can be harnessed to enhance various fields, including fluid dynamics, paving the way for innovative solutions and deeper insights.