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.
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
Training segmentation models on a decade-long archive of H-alpha solar observations to identify filament structures.
Physics-informed neural networks for thermal prediction of wavy minichannel heat sink families.
Implementation of Roe, Godunov, Lax-Friedrichs, and Local Lax-Friedrichs schemes for nonlinear hyperbolic systems.
Applications of machine learning to engineering, imaging, and astrophysical datasets.
Research Intern, Aerospace Engineering
Working on finite-volume methods, hyperbolic conservation laws, multigrid methods, K-exact reconstruction, and computational fluid dynamics.
Research Analyst
Space-sector research, market intelligence, and quantitative analysis.
Building scientific software, machine learning pipelines, simulation tools, and data-analysis systems.
languages = [
"Python",
"C++",
"SQL",
"JavaScript",
"LaTeX"
]
scientific_computing = [
"NumPy",
"SciPy",
"MPI",
"OpenMP",
"ParaView",
"Gmsh"
]
machine_learning = [
"TensorFlow",
"Keras",
"Scikit-Learn",
"PyTorch",
"OpenCV"
]- 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)
- 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
GitHub: github.com/aayu-sha
LinkedIn: linkedin.com/in/aayusha-singh
Email: singh.aayushaa@gmail.com

