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Hello!

Good to see you here!

I am Karthigeyan. I initially found my feet with fluid flow simulations, turbulence modeling, and mathematical modeling for socio-economic causes.

My master's has inculcated in me the knowledge essential to create or understand tools that help to simulate, analyze or benchmark through them. Catering to my fascination for mathematics, I undertook projects and courses that were both math-intensive and challenging on a personal front.

This derived knowledge helped me create stabilized and consistent tools with their results. I had worked on one such tool to model unemployment with a socio-economic aspect as part of my master thesis.

⚡ 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘄𝗵𝗶𝗰𝗵 𝘀𝗽𝗮𝗿𝗸𝗲𝗱 𝗺𝘆 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁: Lattice Boltzmann methods, Adaptive partial differential equations, Parallel programming for computational sciences, Boundary layer theory, Turbulent Flows, Applied Quantum mechanics, High dimensional probability theory.

🌱 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗼𝘂𝗿𝘀𝗲𝘀 : Numerical methods for partial differential equations, Fast iterative solvers, Parallel programming, Model based estimation methods, Continuum mechanics, Introduction to Scientific languages, Data analysis and visualization.

💬 𝗔𝘂𝗱𝗶𝘁𝗲𝗱 𝗰𝗼𝘂𝗿𝘀𝗲𝘀: Kinetic description of multi-agent systems, Computational differentiation, Non-equilibrium gas dynamics, Stochastic numeric.

𝐓𝐡𝐚𝐧𝐤 𝐲𝐨𝐮 𝐟𝐨𝐫 𝐭𝐚𝐤𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐭𝐢𝐦𝐞 𝐭𝐨 𝐫𝐞𝐚𝐝 𝐮𝐧𝐭𝐢𝐥 𝐧𝐨𝐰. 🙏


🧰 Tool Stack


Thanks!

Karthigeyan Ganesh Shankar's Projects

phaseflow-fenics icon phaseflow-fenics

Phaseflow simulates the convection-coupled melting and solidification of phase-change materials.

phd-resources icon phd-resources

We found that there is a lack of a properly maintained list of websites and other links for people who are applying or planning to apply to Ph.D. programs. Feel free to make changes to the README file and submit your pull requests. The requests will be duly cross-checked and approved to keep this list spam-free.

pluto.jl icon pluto.jl

🎈 Simple reactive notebooks for Julia

quantum-universal-education.github.io icon quantum-universal-education.github.io

Welcome to this community-driven, open-source educational website for learning about all aspects of quantum computing across the full stack, from hardware to algorithms to everything in between and adjacent! Whether you are new to quantum science, filling in gaps in your foundation of knowledge, or supplementing a course you are taking, our goal is to help you learn based on your interests and background knowledge. We are always open to recommendations and contributions from the quantum computing community.

quiver icon quiver

A modern commutative diagram editor for the web.

s_graphs_docker icon s_graphs_docker

Repository to generate in Realtime S-Graphs for Robot pose and High-Level Map Optimization

thinkstats2 icon thinkstats2

Text and supporting code for Think Stats, 2nd Edition

youtubecomments icon youtubecomments

Shared Project for scraping youtube comments and combining analysis of text with analysis of Emojis

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