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Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: StarstruckAchievement: Arctic Code Vault Contributor

Highlights

  • Pro

Organizations

@envfluids

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rmojgani/README.md

Rambod Mojgani

■ computational sciences ■ data-driven modeling ■ machine learning in physical systems ■ model reduction

Select Projects:

Project Description Repository Language
🖥️ RL SGS on Korali Theory-driven reinforcement learning for sub-grid scale LES models of 2D turbulent GitHub GitHub Repo stars Python (JAX)
🌊 Py2D Python-Jax solver for 2D turbulence GitHub GitHub Repo stars Python (JAX)
🖥️ LPINNs Lagrangian physics-informed neural network GitHub GitHub Repo stars Python (Pytorch)
🖥️ MEDIDA Model Error Discovery with Interpretability and Data Assimilation GitHub GitHub Repo stars Python
🖥️ MEDIDA_QG Model Error Discovery with Interpretability and Data Assimilation for quasi-geostrophic turbulence GitHub GitHub Repo stars Python (PyTorch)
🖥️ Physics Aware Auto-encoder Manifold learning for large Kolmogorov n-width PDEs GitHub GitHub Repo stars Matlab & Python (Keras)
🦾 LTV ROM Stabilization An optimal feedback controller for linear time-varying reduced order models Contact me Matlab
🌊 Incompressible flow in a Lid-driven cavity A control-volume-based finite element method GitHub GitHub Repo stars Fortran 90
🌊 Compressible flow on an airfoil Roe's Riemann solver for Euler equations on unstructured grids GitHub GitHub Repo stars Fortran 90

Summary of my resume

Highlights:

My PhD Thesis on ``Reduced order modeling of convection-dominated flows, dimensionality reduction and stabilization''

  1. Fully data-driven dimensionality reduction (Autoencoder approach):
  1. Stabilization of time-varying reduced order models:
  1. Lagrangian dimensionality reduction:

Pinned Loading

  1. PhysicsAwareAE PhysicsAwareAE Public

    The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogoro…

    Jupyter Notebook 17 5

  2. LPINNs LPINNs Public

    To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffus…

    Python 42 5

  3. CFD_AUT CFD_AUT Public

    Project I : A control-volume-based finite element method is used to solve the in compressible flow, in a lid-driven cavity. Project II : Roe's Riemann solver is used for compressible Euler equation…

    Gnuplot 12

  4. envfluids/MEDIDA envfluids/MEDIDA Public

    MEDIDA: Model Error Discovery with Interpretability and Data Assimilation

    Python 4 1