Shadi Sharba

Researcher at Fraunhofer Institute for Silicate Research ISC

Dachau, Bavaria, Germany
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Summary

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Senior
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Shadi Sharba is a researcher with 8 years of experience applying computational mechanics, machine learning, and model order reduction to accelerate and automate nonlinear finite element simulations. Currently at Fraunhofer ISC, he builds end-to-end simulation pipelines, integrates ML surrogates into digital twins, and uses inverse simulations to optimize parametric models for industry. His prior work at the University of Stuttgart and Leibniz Universität Hannover produced real-time data-assisted simulation methods, ML homogenization for nonlinear materials, and fatigue-prediction techniques that outperformed standard solutions by orders of magnitude. Comfortable spanning research and software development, he enhances commercial tools through mixed-language programming and mentors students on data-driven modeling. Based in Dachau, Germany, he combines deep academic training (Dr.-Ing. in Computational Mechanics) with a practical focus on deployable, high-fidelity simulation components for industrial use.
code8 years of coding experience
job6 years of employment as a software developer
bookB. Eng., Mechanical Design and Production Engineering, B. Eng., Mechanical Design and Production Engineering at Damascus University
bookDr.-Ing., Computational Mechanics, Dr.-Ing., Computational Mechanics at Leibniz Universität Hannover
bookMSc, Computational Mechanics (COMMAS), MSc, Computational Mechanics (COMMAS) at University of Stuttgart
bookUPC Universitat Politècnica de Catalunya
languagesEnglish, German
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Github Skills (6)

structures10
finite-element-analysis3
gpu2
opencl2
cpp2
cuda2

Programming languages (5)

C++MakefileJupyter NotebookCudaPython

Github contributions (5)

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shadisharba/neon

Nov 2017 - Feb 2025

A non-linear finite element code
Contributions:145 pushes, 4 branches in 7 years 4 months
finite-element-analysisnon-linearlinearcomputational-sciencefinite
Thermo-elastic linear homogenization with reduced order models and support for greedy sampling
Contributions:3 PRs, 22 pushes, 5 branches in 2 years 5 months
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Shadi Sharba - Researcher at Fraunhofer Institute for Silicate Research ISC