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

I'm currently wrapping up my PhD, which focuses on developingmachine learning andexplainable AI models for metabolomics data to identify biomarkers for dry eye disease — as part of an Industrial PhD project.I hold aBSc in Software Engineering and anMSc in Artificial Intelligence.

You can explore my academic work on myGoogle Scholar profile.

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1. Person-Re-ID-with-light-weight-networkPerson-Re-ID-with-light-weight-networkPublic

   Person Re-identification with transfer learning on CUHK01 dataset.

   Python 14 4

2. Peak-detection-chip-seqPeak-detection-chip-seqPublic

   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-metabolomicsclassification-metabolomicsPublic

   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-imagescuhk03-extracted-imagesPublic

   CUHK03 extracted images from the .mat file

   MATLAB 5

5. chip-seq-analayzerchip-seq-analayzerPublic

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

   Python 2

6. chip-seq-dataset-decodingchip-seq-dataset-decodingPublic

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

   Jupyter Notebook 2