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I consider myself a computational physicist. My research work has covered areas of Complex fluids, Rheology, Biological fluid dynamics, Material characterization, Renewable energy, and Multi-scale modeling. For my work in these areas I have used the methods and tools of Linear Algebra, Differential Geometry, Statistics, Machine Learning, and High Performance Computing. I did my PhD work with Prof. Kausik Sarkar.
Prior to my PhD work, my experience in research work includes internship at the Touch Lab at IIT Madras where I analyzed the viscoelastic properties of artificial blood vessels to help build a realistic tactile model for IV needle insertion training. I was a summer intern at the Force Microscopy lab, IISc, where I worked on designing the sample holder and incorporating a force sensor for an in-situ TEM nano-indenter apparatus. I did my Master's work in the Hydro Turbo Machines Lab (HTML), IIT Madras. Using computational tools, I designed a novel duct for hydro-kinetic turbines that improved the torque characteristics and the efficiency of the turbine.
Professionally, I was a junior executive in Operations and Commissioning departments for NTPC Ltd. and managed commissioning and operation 500MW power plants. In particular, I was part of the commissioning team for VTPS Units 1 and 2. Subsequently, I was part of the Operations team at Ramagundam Super Thermal Power Station, the largest power station in South India as of 2021. During this time I employed machine learning to identify and address process issues such as clinker formation in the furnace. I also developed time-series analysis of the power grid frequency to predict excursions. Later on, I was part of a start-up team (Aidle Pvt. Ltd.) that designed and launched a wearable medical alert device in the Indian market.
I am generally interested in all types of computational methods, computational geometry, physical computing, and hardware and software engineering for electronic devices.