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baraa-source/README.md

Baraa Chalal MSc Geotechnical Engineer | Open to PhD & Research Roles

My work sits at the intersection of classical geotechnical engineering and data-driven methods. My thesis focuses on scientific machine learning (SciML) and creating digital twins for soil behaviour—training predictive models on large-scale, generated geotechnical datasets to reduce reliance on expensive laboratory testing and empirical correlations.

Alongside my research, I build automation tools for PLAXIS 2D. I script full FEM workflows from Excel input to result extraction, parametric studies, and Factor of Safety calculations—taking work that normally requires hours of manual interaction and reducing it to a single, efficient pipeline. I am also currently involved in a registered startup and in the process of filing a related patent.

Current Interests

Data-driven constitutive modelling & Digital Twins for soil

Scientific Machine Learning (SciML)

Numerical modelling automation (PLAXIS scripting, FEM pipelines)

Ground response analysis, staged construction, and retaining structures

Tools & Skills

Programming: Python, Julia

Data & ML: pandas, scikit-learn

Automation: PLAXIS 2D scripting API (plxscripting)

Geotech: Mohr-Coulomb / FEM analysis · Borehole interpretation · Staged construction

📫 Reach me at: chalalbaraa@gmail.com

Popular repositories Loading

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    Python scripting for PLAXIS 2D: automated calculation, result extraction, and bending moment charts for retaining wall analysis

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  2. PLAXIS-2D-Automated-Modeling-Results-Extraction-Pipeline PLAXIS-2D-Automated-Modeling-Results-Extraction-Pipeline Public

    A complete, end-to-end Python script that automates PLAXIS 2D geotechnical modeling—from reading raw Excel inputs to exporting detailed CSV result datasets.

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  3. baraa-source baraa-source Public