hael/SIMPLE
Nov 2024 – Sep 2025
7 Months active
Languages Used
Fortran
Technical Skills
Data AnalysisImage ProcessingScientific ComputingFortran ProgrammingSignal ProcessingPerformance Optimization
Afan Atif
PROFILE
Afan Atif
Afanatif1 developed advanced AFM data analysis and image processing capabilities for the hael/SIMPLE repository, building end-to-end workflows for reading, processing, and analyzing AFM microscopy images. Leveraging Fortran, they implemented algorithms for correlation matrix computation, clustering, and Gaussian fitting, optimizing performance and ensuring scientific accuracy. Their work included CLI development for comparative analysis, user interface enhancements, and code refactoring to improve readability and maintainability. By integrating clustering algorithms and Fourier-Mellin transforms, Afanatif1 enabled robust particle analysis and ranking pipelines, supporting reproducible research and efficient data workflows. The depth of engineering addressed both analytical rigor and long-term code quality.
Overall Statistics
Feature vs Bugs
91%Features
Repository Contributions
14Total
Bugs
1
Commits
14
Features
10
Lines of code
3,380
Activity Months7
Your Network
18 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025Month 2025-09 – hael/SIMPLE: Delivered end-to-end Cavgs and AFM Image Processing, Ranking, and Output Pipeline. Refactored image handling for reading/processing/normalization; added matching distance matrix; produced ranked outputs including reference cavgs and AFM images. No major bugs fixed this month. Business impact: improved analytics throughput, data quality, and traceability.
1 Commits • 1 Features
Sep 1, 2025Month 2025-09 – hael/SIMPLE: Delivered end-to-end Cavgs and AFM Image Processing, Ranking, and Output Pipeline. Refactored image handling for reading/processing/normalization; added matching distance matrix; produced ranked outputs including reference cavgs and AFM images. No major bugs fixed this month. Business impact: improved analytics throughput, data quality, and traceability.
September 2025
August 2025
3 Commits • 2 Features
Aug 1, 2025Month: 2025-08 — Summary focused on hael/SIMPLE contributions, highlighting delivered features, notable improvements, and overall impact for business value and maintainability.
August 2025
3 Commits • 2 Features
Aug 1, 2025Month: 2025-08 — Summary focused on hael/SIMPLE contributions, highlighting delivered features, notable improvements, and overall impact for business value and maintainability.
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) monthly summary for hael/SIMPLE feature work focused on enhancing AFM particle analysis accuracy and robustness. Delivered a substantial feature upgrade including 2D K-means clustering and Gaussian fitting for particle analysis, plus refactoring of image processing and correlation calculations. Implemented validation/testing for in-plane correlation function to ensure reliability across datasets. The work improves measurement accuracy, reliability, and maintainability, enabling more precise material characterization and better downstream analytics.
3 Commits • 1 Features
Apr 1, 2025April 2025 (2025-04) monthly summary for hael/SIMPLE feature work focused on enhancing AFM particle analysis accuracy and robustness. Delivered a substantial feature upgrade including 2D K-means clustering and Gaussian fitting for particle analysis, plus refactoring of image processing and correlation calculations. Implemented validation/testing for in-plane correlation function to ensure reliability across datasets. The work improves measurement accuracy, reliability, and maintainability, enabling more precise material characterization and better downstream analytics.
April 2025
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 monthly performance summary for hael/SIMPLE. Focused on delivering performance improvements for core analytics, restoring correctness where needed, and expanding analytics capabilities for AFM data analysis. Key efforts include refactoring the correlation matrix computation to a Fourier-Mellin-based approach, reverting changes that affected in-plane invariant corrmat calculations to ensure accuracy, and adding clustering/visualization features to the AFM commander to enhance data insight workflows.
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025 monthly performance summary for hael/SIMPLE. Focused on delivering performance improvements for core analytics, restoring correctness where needed, and expanding analytics capabilities for AFM data analysis. Key efforts include refactoring the correlation matrix computation to a Fourier-Mellin-based approach, reverting changes that affected in-plane invariant corrmat calculations to ensure accuracy, and adding clustering/visualization features to the AFM commander to enhance data insight workflows.
January 2025
2 Commits • 2 Features
Jan 1, 2025Monthly work summary for 2025-01 focused on the hael/SIMPLE repository. Delivered end-to-end AFM data processing capabilities and targeted performance improvements for correlation analysis. Summary highlights below with top achievements and business impact.
2 Commits • 2 Features
Jan 1, 2025Monthly work summary for 2025-01 focused on the hael/SIMPLE repository. Delivered end-to-end AFM data processing capabilities and targeted performance improvements for correlation analysis. Summary highlights below with top achievements and business impact.
January 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024Summary for 2024-12: Focused on delivering AFM data analysis capabilities in hael/SIMPLE. Key feature delivered: AFM Image Processing and In-Plane Invariant Correlation Analysis with an optional mirror-symmetry consideration (under development). No documented major bug fixes this month. Overall impact: lays groundwork for automated AFM data analysis pipelines, enabling more rigorous materials characterization and potential time savings for researchers. Technologies/skills demonstrated: AFM image processing, feature extraction, invariant correlation analysis, symmetry-aware algorithm design, Git-based development and traceability, and performance-conscious coding practices.
December 2024
1 Commits • 1 Features
Dec 1, 2024Summary for 2024-12: Focused on delivering AFM data analysis capabilities in hael/SIMPLE. Key feature delivered: AFM Image Processing and In-Plane Invariant Correlation Analysis with an optional mirror-symmetry consideration (under development). No documented major bug fixes this month. Overall impact: lays groundwork for automated AFM data analysis pipelines, enabling more rigorous materials characterization and potential time savings for researchers. Technologies/skills demonstrated: AFM image processing, feature extraction, invariant correlation analysis, symmetry-aware algorithm design, Git-based development and traceability, and performance-conscious coding practices.
November 2024
1 Commits • 1 Features
Nov 1, 2024Monthly work summary for 2024-11 focusing on hael/SIMPLE developments, delivering AFM data support and related improvements.
1 Commits • 1 Features
Nov 1, 2024Monthly work summary for 2024-11 focusing on hael/SIMPLE developments, delivering AFM data support and related improvements.
November 2024
Activity
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Quality Metrics
Correctness83.6%
Maintainability82.8%
Architecture82.2%
Performance81.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Fortran
Technical Skills
Algorithm OptimizationCLI DevelopmentClustering AlgorithmsCode FormattingCode RefactoringData AnalysisFortranFortran DevelopmentFortran ProgrammingFull Stack DevelopmentImage ProcessingPerformance OptimizationReadability ImprovementScientific ComputingSignal Processing
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