Dr. Suranita Kanjilal

I am working in the particulate flow modelling department of Johannes Kepler University of Linz at the moment. Here I am working to support RHI Magnesita with their hopper simulation project in order to reduce their production as well as computational cost in making refractory bricks.

Learning and gaining experiences through various MOOC(massive open online course) platforms like coursera, edx, udemy, datacamp etc. in programming in R, deep learning and machine learning.

Learnt high performance computing using the Finite Elements Method (FEM) in order to model heart valve.

Research experience in numerical modelling of non Newtonian two phase flow (i.e. mixed flow dynamics two different type of fluids without any chemical interaction) through porous media when the medium is subjected to deform in a viscous manner having a variable viscosity which is a function of its porosity. I have used several strategies of numerical modelling (developing algorithm for direct solver in order to solve a large and sparse system of linear equations) and computational fluid dynamics.

Analyzed large number of data obtained from laboratory experiments of aerosols by FORTRAN modeling and simulation to quantify their spectral absorption, hygroscopic and microphysical properties .

Here I have developed algorithm and created visualisation design for a mathematical problem solution.

Learnt basic knowledge on theory and application of Heine-Borel theorem.

Computational fluid dynamics and numerical modelling with application in Geosciences.

Financial Maths, Fluid dynamics, C Programming, Numerical analysis, Operations research, Linear Algebra, Probability & statistics, Graph theory etc. My masters' thesis: 'On The Continuity of The Moore-Penrose Inverse' required to solve singularity problem while solving linear system of equations.