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Achievement: Pair ExtraordinaireAchievement: Pull SharkAchievement: Quickdraw

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ADG4050/README.md
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🚀 About Me

I’m a PhD student and researcher passionate about Robust, Explainable, Intent-driven Reinforcement Learning solutions for Mobile Networks.

As an interesting tidbit, I’ve created a Naruto VR Environment (link) and an XR Application for real-world relays of football stadiums (link).

  • 🔬 Currently working on: Explaining AI-driven solutions for Mobile Networks.
  • 📫 Connect with me: LinkedIn
  • 🌐 Check out my portfolio: abhishek-duttagupta.github.io (Coming Soon!)

💻 Tech Stack

Languages and Tools I Work With:

python pytorch tensorflow matlab scikit-learn c nvidia-cuda arduino

📝 Recent Contributions

Here’s what I’ve been working on lately:

  • 🛠️ SYMBXRL: Contributed to symbolic explainable deep reinforcement learning for mobile networks (IEEE INFOCOM 2025).
Profile Views

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  1. Exploring-Lightweight-Federated-Learning-for-load-forecasting Exploring-Lightweight-Federated-Learning-for-load-forecasting Public

    Federated Learning on Energy Dataset for load forecasting using clustering and sequential DNN methods

    Jupyter Notebook 14 2

  2. RAINet-Lab/SYMBXRL RAINet-Lab/SYMBXRL Public

    SYMBXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks

    HTML 21 3

  3. Image-Edge-Detection-PYNQ Image-Edge-Detection-PYNQ Public

    Image Edge Detection Sobel Filter Hardware Implementation on PYNQ FPGA Board

    Jupyter Notebook 7

  4. Bayesian-Matting-Implementation Bayesian-Matting-Implementation Public

    Implementation of Bayesian Matting for Image Composting

    Python