Madhumitha Ravichandran

Madhumitha is a PhD student in nuclear science engineering whose research focuses on developing machine learning frameworks and multiphysics models to improve the safety margins in the operation of commercial light water reactors. She has developed a neural network framework, based on MATLAB models in the Neural Network and Deep Learning Toolbox, to predict the boiling dynamic parameters, allowing accelerated (real-time) determination of these parameters from experiments conducted with advanced infrared thermography and high-speed imaging facilities. She is using these models to further understand the complex boiling process in nanoengineered surfaces proposed for future nuclear reactor components, as well as prototypical cladding surfaces that are used in present day light water reactors. Madhumitha earned a BTech in mechanical engineering from SASTRA University, India.



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