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[Currently, Optical Engineering Intern At Optisindia](https://www.opticsindia.com/)✨

### Hi there 👋

Welcome to my Github profile!
Scroll down below to find what I do, what I am doing, and what I am upto.
Want to collaborate, reach me below.

           


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- 🔭 I’m Actively working on enhancing knowledge and expertise in Quantum Optics and Computational MODELLING of NANOPHOTONIC DEVICES (specially modelling light and sound wave interactions at nanoscale, numerical methods, finite elements, Ray and wave propagation in nonlinear medium), comfortable with simulations ( ZEMAX OptiStudio, RSOFT-CAD and LUMERICAL FDTD and FEM solutions, KLAYOUT, ANSYS-RF Antenna Design, QUTIP,PY-MEEP, FEniCS, NumBAT) and data analysis tools (numpy, scipy, matplotlib, scikit-learn) and proficient in programming skills (Python, Verilog, System Verilog), SoC Custom Layout and Design Verification techniques.

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ANURAG SHARMA's Projects

angler icon angler

Frequency-domain photonic simulation and inverse design optimization for linear and nonlinear devices

brillouin-optomechanics icon brillouin-optomechanics

Data and simulations files for the tutorial article "Brillouin optomechanics in nanophotonic structures"

ca-pandas-webinars icon ca-pandas-webinars

This is the companion repository of the Cloud Academy Webinar Series on Pandas.

camfr icon camfr

Python-based electromagnetic simulator and mode solver for nanophotonics applications, using the Eigenmode Expansion (EME) method.

ceviche icon ceviche

:shrimp: Electromagnetic Simulation + Automatic Differentiation

deep_inv_opt icon deep_inv_opt

An Open Source Deep Learning Framework for Solving Inverse Optimization Problem

dielectric_mixture icon dielectric_mixture

A python script for the calculation of the effective dielectric constant for a mixture of two phases

glonet icon glonet

Global optimization based on generative neural networks

lumopt icon lumopt

Python based continuous adjoint optimization wrapper for Lumerical

meep icon meep

free finite-difference time-domain (FDTD) software for electromagnetic simulations

metalab icon metalab

Learn and design nanophotonic structures, surface plasmon devices... Using powerful machine learning algorithms(CNN, GBRT, differentiable forest...)

ml_pcf icon ml_pcf

Multilayer perceptron has been implemented using PyTorch framework to compute various optical properties of a photonic crystal fiber (PCF).

mpb icon mpb

MIT Photonic-Bands: computation of photonic band structures in periodic media

mpb-plotting icon mpb-plotting

Plot photonic dispersion curves with mode shapes (a frontend to MIT Photonic bands)

multiclass_metasurface_inversedesign icon multiclass_metasurface_inversedesign

Here, we use a conditional deep convolutional generative adversarial network (cDCGAN) to inverse design across multiple classes of metasurfaces. Reference: https://onlinelibrary.wiley.com/doi/10.1002/adom.202100548

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