SwanLab/Swan
Jan 2025 – Jun 2025
6 Months active
Languages Used
MATLAB
Technical Skills
Functional AnalysisGradient CalculationMathematical ModelingNumerical MethodsSoftware RefactoringTopology Optimization
bielgf
PROFILE
Bielgf
Over six months, Biel Garcia-Fernandez developed and enhanced advanced topology optimization features in the SwanLab/Swan repository, focusing on density-based and isoperimetric-constrained optimization workflows. He implemented new functionals, such as perimeter and volume P-norms, and introduced batch simulation capabilities to support scalable experimentation. His work involved extensive code refactoring, robust constraint handling, and improvements to simulation configuration and cross-platform file I/O. Using MATLAB and leveraging numerical methods and finite element analysis, Biel delivered solutions that improved convergence, reliability, and automation of simulation tasks. The depth of his contributions expanded the design space and increased the maintainability of the codebase.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
27Total
Bugs
4
Commits
27
Features
11
Lines of code
6,428
Activity Months6
Work History
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025—SwanLab/Swan delivered targeted feature improvements for scalable simulation workflows and robust cross-platform exports. Key work focused on extending simulation configurability, stabilizing batch execution, and hardening file-path handling for cross-platform use, enabling faster, reproducible experimentation and safer automation across environments.
2 Commits • 1 Features
Jun 1, 2025June 2025—SwanLab/Swan delivered targeted feature improvements for scalable simulation workflows and robust cross-platform exports. Key work focused on extending simulation configurability, stabilizing batch execution, and hardening file-path handling for cross-platform use, enabling faster, reproducible experimentation and safer automation across environments.
June 2025
May 2025
7 Commits • 3 Features
May 1, 2025May 2025 Swan: Delivered core isoperimetric-constrained optimization capabilities and density-based topology optimization in Swan. Key features: (1) Isoperimetric constraint framework with IsoPerimetricNormPFunctional; tutorials integration; geometry and density-method refactors. (2) Global perimeter shape function and corresponding constraint. (3) Density-based topology optimization classes with perimeter and volume constraints; tests updated. No explicit bug fixes recorded; focus was feature delivery and test coverage. Impact: expanded design space for perimeter-aware components (e.g., cantilever/gripper), improved reliability and maintainability through refactors. Technologies/skills: Python, optimization algorithms, constraint programming, topology optimization, test-driven development, documentation.
May 2025
7 Commits • 3 Features
May 1, 2025May 2025 Swan: Delivered core isoperimetric-constrained optimization capabilities and density-based topology optimization in Swan. Key features: (1) Isoperimetric constraint framework with IsoPerimetricNormPFunctional; tutorials integration; geometry and density-method refactors. (2) Global perimeter shape function and corresponding constraint. (3) Density-based topology optimization classes with perimeter and volume constraints; tests updated. No explicit bug fixes recorded; focus was feature delivery and test coverage. Impact: expanded design space for perimeter-aware components (e.g., cantilever/gripper), improved reliability and maintainability through refactors. Technologies/skills: Python, optimization algorithms, constraint programming, topology optimization, test-driven development, documentation.
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 SwanLab/Swan: Implemented density-based and perimeter PNORM optimization improvements with updated target and normalization parameters, alternative simulation path usage, and increased iteration counts to improve convergence robustness. Added cantilever level-set data to enhance analysis accuracy and decision confidence. Introduced a perimeter constraint in GripperProblem and expanded batch simulations to cover a broader range of perimeter target values, increasing robustness and flexibility of topology optimization workflows. Overall, these changes deliver more reliable design guidance, improved convergence, and greater capability to explore perimeter-driven design spaces, driving better business outcomes and potential performance gains.
4 Commits • 2 Features
Apr 1, 2025April 2025 SwanLab/Swan: Implemented density-based and perimeter PNORM optimization improvements with updated target and normalization parameters, alternative simulation path usage, and increased iteration counts to improve convergence robustness. Added cantilever level-set data to enhance analysis accuracy and decision confidence. Introduced a perimeter constraint in GripperProblem and expanded batch simulations to cover a broader range of perimeter target values, increasing robustness and flexibility of topology optimization workflows. Overall, these changes deliver more reliable design guidance, improved convergence, and greater capability to explore perimeter-driven design spaces, driving better business outcomes and potential performance gains.
April 2025
March 2025
5 Commits • 1 Features
Mar 1, 2025March 2025 Monthly Summary for SwanLab/Swan. Focused on delivering a core refactor and extended analysis for PerimeterNormPFunctional, expanding simulation capabilities and output quality, and laying groundwork for gripping-density analysis. The work included extensive parameter exploration for p-norm and target perimeter, enhanced function/gradient handling, and improvements to property access and epsilon/denominator logic. Added analysis and interpretation scripts to enable faster insights and validation of results, with a series of commits that incrementally validated changes and surfaced pTarget results.
March 2025
5 Commits • 1 Features
Mar 1, 2025March 2025 Monthly Summary for SwanLab/Swan. Focused on delivering a core refactor and extended analysis for PerimeterNormPFunctional, expanding simulation capabilities and output quality, and laying groundwork for gripping-density analysis. The work included extensive parameter exploration for p-norm and target perimeter, enhanced function/gradient handling, and improvements to property access and epsilon/denominator logic. Added analysis and interpretation scripts to enable faster insights and validation of results, with a series of commits that incrementally validated changes and surfaced pTarget results.
February 2025
5 Commits • 3 Features
Feb 1, 2025February 2025 — SwanLab/Swan monthly development summary for Swan repo (SwanLab/Swan). The month focused on expanding topology optimization capabilities with Level Set P-Norm approaches, introducing batch processing workflows, and tightening reliability through targeted fixes and test updates. These efforts deliver greater design flexibility, scalable experimentation, and more robust functional outputs for optimization tasks.
5 Commits • 3 Features
Feb 1, 2025February 2025 — SwanLab/Swan monthly development summary for Swan repo (SwanLab/Swan). The month focused on expanding topology optimization capabilities with Level Set P-Norm approaches, introducing batch processing workflows, and tightening reliability through targeted fixes and test updates. These efforts deliver greater design flexibility, scalable experimentation, and more robust functional outputs for optimization tasks.
February 2025
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 — SwanLab/Swan monthly summary: Delivered key feature enhancements and debugging work on VolumeNormPFunctional within Swan; focused on improving numerical stability, accuracy, and design-variable management to drive business value in optimization tasks.
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 — SwanLab/Swan monthly summary: Delivered key feature enhancements and debugging work on VolumeNormPFunctional within Swan; focused on improving numerical stability, accuracy, and design-variable management to drive business value in optimization tasks.
Activity
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Quality Metrics
Correctness80.8%
Maintainability81.8%
Architecture77.0%
Performance64.8%
AI Usage21.4%
Skills & Technologies
Programming Languages
MATLAB
Technical Skills
Code RefactoringCode refactoringConstraint HandlingData Loading and ProcessingData VisualizationFile I/OFinite Element AnalysisFinite Element MethodFunctional AnalysisGradient CalculationLevel Set MethodMATLAB ProgrammingMATLAB ScriptingMATLAB scriptingMathematical Modeling
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