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GaneshShivalingappa/README.md

👋 Hi, I’m @GaneshShivalingappa

🎓 I've completed my master's in computational sciences in engineering at TU Braunschweig, with a focus on numerical methods, machine learning, and advanced data-driven modeling techniques.

💻 My research lies at the intersection of scientific computing and machine learning, focusing on mechanics.

🌟 Projects:

  • Performance and training time comparison between physics-informed neural networks (PINNs), FEM enhanced neural networks (FEM-NNs), and FEM data-based neural networks (FEM-Data-NNs) models.
  • Master's thesis on FFT-based full-field modeling of crystal plasticity in multi-crystal metallic sheets.

🔧 I have hands-on experience with Python and Julia, working extensively with packages such as Numpy, PyTorch, Scipy, Matplotlib, LinearAlgebra, StaticArrays, FEniCS, Tensor, Ferrite, and Brightway2.

🌐 Socials:

LinkedIn

💻 Tech Stack:

Python JuliaMatplotlib NumPy PyTorch Scipy TensorFlow GitHub GitLab Docker LaTeX Inkscape

📊 GitHub Stats:


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  1. Parametric-NN-Models Parametric-NN-Models Public

    Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network

    Python 14