Divij Ghose

I am a research assistant at the Department of Computational and Data Sciences (CDS), IISc Bangalore, where I work with Prof. Deepak Subramani and Prof. Sashikumaar Ganesan on Stochastic ParMooN for Analysis, Design and Estimation (SPADE).

I graduated with a B.Tech in Mechanical Engineering from College of Engineering Pune (CoEP), with Honors in Thermal Engineering. I have received the Forbes Marshall Award for Most Outstanding Project and the Prof. S.R. Kajale Memorial Medal for Best Outgoing Student (Mechanical Engineering).

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We present an ensemble forecast for Wave-3 of COVID-19 in the state of Karnataka, India, using the IISc Population Balance Model for infectious disease spread. The ensemble is built with 972 members by varying seven critical parameters that quantify the uncertainty in the spread dynamics (antibody waning, viral mutation) and interventions (pharmaceutical, non-pharmaceutical).

Implementation of Monte-Carlo simulations in CMG's in-house parallel finite element software ParMooN. For the lid-driven cavity problem, the Monte-Carlo realizations for initial velocity are run through one time-step of the Navier-Stokes solver in ParMooN to make the flow divergence free.The Monte-Carlo simulations will be used to initialize the DO Equations as well as a benchmark solution.

Implementation of Monte-Carlo simulations in CMG's in-house parallel finite element software ParMooN. For a given length scale and standard deviation function, the code generates a user-specified number of realizations of initial values. The realizations are then run through the unsteady Convection-Diffusion model(TCD2D) available in ParMooN. The output distribution is then post-processed.

Traditional methods of pressure measurement are usually intrusive in nature, and are rarely able to quantify the entire flow field. We present an accurate, cost-effective and non-intrusive method by computing the pressure field from velocity data obtained using Particle Image Velocimetry. The result can be post-processed to find coefficients of drag and lift. We use two approaches - one that solves the Pressure Poisson equation over the entire domain, and another that integrates the pressure gradients calculated using the Navier-Stokes equation. Moreover, unlike others, we use a single-Laser PIV combined with a novel shadow correction technique, which makes our system more accesible.

As an R&D Engineer at Bajaj Auto, I was involved in the CAE analysis and optimization of engine and electric vehicle components. Such CAE methods included bore distortion analysis of engine cylinders, factor of safety calculation and weight optimization of connecting rods and crankshafts, thermal analysis of Electric Motor Control Units, and noise and vibration studies, for brands like KTM, Husqvarna, Triumph and Bajaj

Cloned from Jon Barron.