Hi, I am a final-year undergraduate student of the Department of Aerospace Engineering at the Indian Institute of Technology Kharagpur.
The application of artificial intelligence in conventional areas such as computer vision existed for several decades, but this decade has witnessed the rise and the divergence in this domain to include various other data-intensive fields such as fluid dynamics. My research interest lies in the domain of fluid dynamics and artificial intelligence, and I believe that the convergence between these two seemingly disparate fields is a way forward to tackle the challenges of computational complexity in a multi-scale simulation.
I spent my summer after the junior year at the Okanagan CFD Lab, The University Of British Columbia Okanagan, working on the flow classification algorithm. The flow, classified into different regions such as laminar and turbulent, can be used as the innate ground truth for the supervised data-driven turbulence algorithms.
Presently, I am working on the inverse modeling approach for the turbulence closure modeling of buoyancy-driven natural convection flow in a solar chimney in my final year bachelor thesis project. Other than this, I am planning to increase the scope of my work to include the unsupervised learning algorithms, such as Generative Adversarial Networks for turbulence closure modeling.
I wish to pursue a doctoral degree in physics enabled data-driven modeling of dynamical systems and to incorporate the other areas of aerospace engineering such as combustion dynamics, propulsion, and turbulence within the purview of my work.