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aayu-sha/README.md

Aayusha Singh

Computational Science • Astrophysics • Machine Learning

Mechanical Engineering undergraduate at NIT Srinagar working at the intersection of scientific computing, astrophysics, and machine learning.

Currently involved in numerical methods research at IISc Bangalore, scientific machine learning projects, and astrophysical research training in fluid dynamics and celestial mechanics.


Current Focus

Research:
├── Hyperbolic Conservation Laws
├── Finite Volume Methods
├── K-Exact Reconstruction
├── Astrophysical Fluid Dynamics
└── Celestial Mechanics

Machine Learning:
├── Physics-Informed Neural Networks
├── Medical Imaging
├── Computer Vision
└── Scientific AI

Astrophysics:
├── Gravitational Waves
├── Black Hole Physics
├── Solar Data Analysis
└── Computational Astrophysics

Selected Projects

UNet Segmentation for MAGFiLO

Training segmentation models on a decade-long archive of H-alpha solar observations to identify filament structures.

PINN Surrogate Models

Physics-informed neural networks for thermal prediction of wavy minichannel heat sink families.

Numerical Methods for PDEs

Implementation of Roe, Godunov, Lax-Friedrichs, and Local Lax-Friedrichs schemes for nonlinear hyperbolic systems.

Scientific ML

Applications of machine learning to engineering, imaging, and astrophysical datasets.


Research & Experience

IISc Bangalore

Research Intern, Aerospace Engineering

Working on finite-volume methods, hyperbolic conservation laws, multigrid methods, K-exact reconstruction, and computational fluid dynamics.

Empire Space

Research Analyst

Space-sector research, market intelligence, and quantitative analysis.

Independent Projects

Building scientific software, machine learning pipelines, simulation tools, and data-analysis systems.


Technical Toolkit

languages = [
    "Python",
    "C++",
    "SQL",
    "JavaScript",
    "LaTeX"
]

scientific_computing = [
    "NumPy",
    "SciPy",
    "MPI",
    "OpenMP",
    "ParaView",
    "Gmsh"
]

machine_learning = [
    "TensorFlow",
    "Keras",
    "Scikit-Learn",
    "PyTorch",
    "OpenCV"
]

Publications & Conferences

  • Relativistic Effects on Spacecraft in Interstellar Travel
  • Dark Matter-Analogous Particles in Microgravity Environments
  • PINN Surrogate for Multi-Output Thermal Performance Prediction of Wavy Minichannel Heat Sink Families (Under Review)

A Few Things I Like Working On

  • Numerical methods that should work but don't
  • Simulations that shouldn't work but do
  • Scientific machine learning
  • Black holes
  • Space missions
  • Open-source scientific software

Connect

GitHub: github.com/aayu-sha

LinkedIn: linkedin.com/in/aayusha-singh

Email: singh.aayushaa@gmail.com

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