Welcome to my Academic Portfolio repository!

Cross-correlation analysis for testing modified gravity theories using galaxy clustering and CMB lensing

Machine Learning-based framework for redshift estimation and cosmological parameter inference using Gamma-Ray Bursts as potential standard candles.

Efficient modeling of stochastic inflation dynamics using Physics-Informed Neural Networks (PINNs) as a fast alternative to traditional methods like Monte Carlo simulations. Embeds the Langevin equ…

Jet Tagging with CERN Open Data using traditional ML and Particle Chebyshev Networks for high-energy physics jet classification.

Reviewing advances in machine learning and artificial intelligence methods for mitigating radio frequency interference in radio astronomy.

Data curation pipeline for the RGC (Radha Gobinda Chandra) Radio Galaxy Classifier, ensuring high-quality training datasets for accurate AGN classification.

A project for estimating photometric redshifts using Gaussian processes and more. This repository includes a pipeline for data preprocessing, model training, and evaluation, focusing on improving a…

Welcome to the Astroinformatics repository! This project combines computational techniques and data-driven approaches to analyze vast astronomical datasets. Explore tools, algorithms, and resources…

This project benchmarks Cython against implementations in Numba, Pybind11, C++, Julia, and MATLAB. Code optimizations ensure efficient memory use and speed, aiding accurate decay probability estima…

BandGapAlign is a machine learning project designed to predict band gaps and band alignment in semiconductors.

A curated list of essential astronomy resources for research and analysis

This repository applies digital signal processing to astronomical data, improving signal analysis from celestial sources. It covers Fourier transforms, filtering, and advanced machine learning for …

Comprehensive collection of study notes, resources, and practice materials on Machine Learning and Deep Learning.

Experiments and implementations of neural ordinary differential equations (Neural ODEs) and related frameworks, including neural flows, trajectory forecasting, and neural operators for PDEs. This r…

This repository contains materials for the "Research Methodology in Mathematics Education" course, including theory content on research methods and lab resources for Python, MATLAB, and LaTeX. It s…

Exoplanet Detection ML uses machine learning to detect exoplanets by analyzing transit light curves. With advanced feature extraction and robust algorithms, this project aims to enhance discovery a…

CCDS Research Internship Workshop: Hands-on workshop on deep learning, project management, and visualization tools, focusing on practical skills and real-world applications.