Srijith Sreekumar

A professional engineer in the field of energy and mechanical, highly starving for the urge of learning new Ideology and skills. Enthusiastic to work over challenging ambience. Current Status: Working with Deep learning tool Kit -Modulus by NVIDIA to optimize the Computational analysis. Specializing in M.Sc., Chemical, and Energy Engineering at Otto Von Guericke Universität, Magdeburg, Germany with a prime focus towards implementing Deep learning algorithms in the field of fluid dynamics. Previous work: Had been working with Direct Numerical Simulation of premixed NH3/H2/air turbulent flame dataset to find the possibilities to predict the non-linear connection between chemical marker and Heat release rate using Physics Informed Neural Network(PINN). The major advantage is that the model validity is not limited to the specific kinetic mechanism and this model could be a state of art in predicting the Heat Release Rate for any blending composition of NH3/H2.