"Paving the way towards autonomous battery manufacturing optimization: a surrogate multiscale modeling approach"This Ph.D. project aims at developing and demonstrating a novel computational approach for quasi-real-time physics-informed simulation of the battery electrode manufacturing process and of the influence of its parameters on the electrode architecture, paving the way to a concrete Battery Industry 4.0.

Fabrication and optimization of optical-resonators via emulsion route

Worked on the idea of removing Chromium(III) from water using Titanium Dioxide. Studied the titanium dioxide morphologies that are best suitable for chromium adsorption. Also found the temperature and concentration range Titanium can adsorb. The target was/is to develop a most efficient, eco-friendly, and economically feasible technique for the recycling of wastewater by removing carcinogenic metals from water.

Worked on a Geant4 based Monte Carlo simulation framework. Learned the implementation of geometry and material composition. Also learned the use of the physical process in calculating the radiation dose. Modeled GAMMEX Phantom based on my learning.

Worked on computational modeling of crystalline materials at the atomic scale by studying the variation in the Potential Energy landscape of the system on applying external force and then using optimization techniques to calculate the stable configuration of the system.