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Hi there, fellow coder! 🌍👩‍💻

Welcome to my GitHub profile, where code, creativity, and science collide. 🚀🔬💡

About Me 🤓

  • Education: I'm currently pursuing my M.Sc. in Computer Science at York University (since Sep 2022) and I'm acing it with an A+ GPA! 📚✨
  • Research: I'm exploring the depths of tech as a Research Assistant at York University's esteemed NGWN Research Lab under the supervision of Dr. Hina Tabassum. 🎓🔍

What I've been working on 🛠️

  • Main Research Focus: WiFi Sensing, Self-supervised Learning, Representation Learning, and Compression.
  • Key Achievements:
    • Spearheaded research on CSI-based WiFi Sensing and CSI Compression. 📡
    • Led undergraduate students in dataset generation for WiFi Sensing. 📊
    • Contributed my expertise to peer-review for journals like IEEE Communications Letters and IoTM. 📝
    • Ventured deep into Deep Learning for constrained optimization, focusing on scalability and constraints in beamforming and user scheduling. 🌐💪

Languages and Tools I use:

Python NumPy PyTorch TensorFlow scikit-learn Pandas Keras Matplotlib C++ JavaScript MATLAB

📊 GitHub Stats

My GitHub Stats

📈 Most Used Languages

Top Langs

Get in touch! 📫

Feel free to reach out via:

🔔 Dive into my repositories and star the ones that pique your interest! ⭐

Cheers to coding! 🎉👩‍💻🚀

Borna Barahimi's Projects

rscnet icon rscnet

The Pytorch implementation of "RSCNet: Dynamic CSI Compression for Cloud-based WiFi Sensing"

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