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redwankarimsony/README.md

Redwan Sony

🎓 Ph.D. Student in Computer Science & Engineering, Michigan State University (iPRoBe Lab)
🔬 Research Focus: Biometric Recognition, Vision–Language Models, Generative AI, and Explainability
🌍 Personal Website: redwankarimsony.github.io
🌍 Old Website: link

🔗 Profiles

Google Scholar LinkedIn Twitter/X Website

📚 Selected Publications

  • Foundation vs. Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition.
    ICCV 2025 Workshop on Foundation and Generative Models in Biometrics
  • Benchmarking Foundation Models for Zero-Shot Biometric Tasks (arXiv 2025)
  • Automatic Comparative Chest Radiography Using Deep Neural Networks (IEEE Access 2025)
  • A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris PAD (WACV 2025)

👉 Full Publication List

📊 GitHub Stats

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✉️ Contact: sonymd@msu.edu

Redwan Sony
PhD Student | iPRoBe Lab,
Department of Computer Science & Engineering (CSE),
Michigan State University (MSU)
East Lansing, MI-48823, USA
Google Scholar | Kaggle | Linkedin) |Academic CV
✉️ Contact:

Redwan Karim Sony

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  1. pytorch_from_scratch_with_MNIST pytorch_from_scratch_with_MNIST Public

    This repository contains the practice codes from Jeremy Howard's tutorial on PyTorch. The actual code can be viewed at https://pytorch.org/tutorials/beginner/nn_tutorial.html

    Jupyter Notebook

  2. iPRoBe-lab/AFRvsVLM iPRoBe-lab/AFRvsVLM Public

    1

  3. iPRoBe-lab/IrisMatcherVeriEye iPRoBe-lab/IrisMatcherVeriEye Public

    Iris Matcher (Python Version) based on the VeriEye SDK by Neurotechnology

    Python

  4. iPRoBe-lab/MSUFAL-Radiography-Dataset iPRoBe-lab/MSUFAL-Radiography-Dataset Public

    MSUFAL + iPRoBe Lab Joint Project on Comparative Medical Radiography

  5. PCA-from-Scratch-in-Python PCA-from-Scratch-in-Python Public

    A simple implementation of Principal Component Analysis (PCA) visualized using Fashion MNIST Dataset. Thanks to https://github.com/zalandoresearch/fashion-mnist for making the dataset.

    Jupyter Notebook 25 10

  6. project-tomato project-tomato Public

    Official Implementation of paper Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification

    Python 12 9