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sajadamouei/README.md

Hi there 👋

I'm Sajad Amouei Sheshkal, a researcher and AI Engineer based in Oslo, Norway.

I'm currently wrapping up my PhD, which focuses on developing machine learning and explainable AI models for metabolomics data to identify biomarkers for dry eye disease — as part of an Industrial PhD project. I hold a BSc in Software Engineering and an MSc in Artificial Intelligence.

You can explore my academic work on my Google Scholar profile.

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  1. Person-Re-ID-with-light-weight-network Person-Re-ID-with-light-weight-network Public

    Person Re-identification with transfer learning on CUHK01 dataset.

    Python 14 4

  2. Peak-detection-chip-seq Peak-detection-chip-seq Public

    Implementation of a Peak detection pipeline in Python using machine learning models and sliding window on the H3K9me3_TDH_BP ChIP-seq dataset.

    Jupyter Notebook 3

  3. classification-metabolomics classification-metabolomics Public

    Implementation of a comparative analysis to find the best ML model for classifying dry eye disease from healthy controls using metabolomics datasets.

    Jupyter Notebook 2

  4. cuhk03-extracted-images cuhk03-extracted-images Public

    CUHK03 extracted images from the .mat file

    MATLAB 5

  5. chip-seq-analayzer chip-seq-analayzer Public

    These scripts examine and display visual representations of .bedGraph and .bed files associated with CHIP-seq datasets.

    Python 2

  6. chip-seq-dataset-decoding chip-seq-dataset-decoding Public

    Decode coverage.bedGraph files that use the run-length encoding format.

    Jupyter Notebook 2