Shady E. Ahmed 🎓
Shady E. Ahmed

Postdoctoral Fellow

I am a distinguished postdoctoral fellow in scientific computing at Pacific Northwest National Laboratory. I am affilated to the scientific machine learning and uncertainty quantification team within the advanced computing, mathematics and data division. I like to develop new algorithms that advance numerical weather and climate predictions using multifidelity learning, reduced order modeling, reinforcement learning, and causal discovery.

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Experience

  1. Distinguished Postdoctoral Fellow

    Pacific Northwest National Laboratory
  2. Graduate Research Assistant

    Oklahoma State University
  3. Wallace Givens Associate

    Argonne National Laboratory

Education

  1. PhD in Mechanical & Aerospace Engineering

    Oklahoma State University | USA
    Thesis on Enabling digital twins for large scale dynamical systems through the integration of models and data.
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  2. MSc in Mechanical Power Engineering

    Mansoura University | Egypt
  3. BSc in Mechanical Power Engieering

    Mansoura University | Egypt
Recent Publications

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A multifidelity deep operator network approach to closure for multiscale systems

Jan 1, 2023

Forward Sensitivity Analysis and Mode Dependent Control for Closure Modeling of Galerkin Systems

Jan 1, 2023

On the dual advantage of placing observations through forward sensitivity analysis

Jan 1, 2023

Physics guided machine learning for variational multiscale reduced order modeling

Jan 1, 2023

PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments

Jan 1, 2023

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