Projects & Research Work

This page highlights selected research projects, industrial systems, and open-source contributions spanning Explainable AI, Computer Vision, Anomaly Detection, and Industrial AI.

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    <img src=
      
        "https://rashidrao-pk.github.io//images/../files/projects/advis.png"
      
      alt="ADVIS-DistriMuSe-SR: Real-Time Anomaly Detection for Safe Human–Robot Interaction">
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<div class="pub-content project-content">

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    <a href="https://rashidrao-pk.github.io//projects/advis-distrimuse-sr/" rel="permalink">ADVIS-DistriMuSe-SR: Real-Time Anomaly Detection for Safe Human–Robot Interaction </a>

      <span class="pub-category-badge pub-category-anomaly-detection">
        Anomaly Detection
      </span>
    
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    <p class="archive__item-excerpt">
      Industrial Safety Detector using deep Generative models based Anomaly Detection

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    <p class="pub-meta">
      
        <strong>Type:</strong> Deployment Project
      
         · 
        <strong>Status:</strong> Completed
      
         · 
        <strong>Year:</strong> 2026
      
    </p>
  
  <p class="pub-buttons">
    <a href="https://rashidrao-pk.github.io//projects/advis-distrimuse-sr/" class="custom-btn btn-paper">Project Page</a>

      <a href="https://github.com/rashidrao-pk/advis_distrimuse_unito_SR" target="_blank" class="custom-btn btn-code">Code</a>
    
  </p>

    <p class="pub-meta">
      <strong>Research Area:</strong>
      Computer Vision, Edge AI, Anomaly Detection, Industrial Safety
    </p>
  
    <p class="pub-meta">
      <strong>Technologies:</strong>
      Python, Edge Devides, PyTorch, OpenCV, VAE-GAN models, ROS2, Zenoh messages
    </p>
  
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    <img src=
      
        "https://rashidrao-pk.github.io//images/../files/projects/edge_ai.png"
      
      alt="AI on Edge Devices">
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    <a href="https://rashidrao-pk.github.io//projects/ai-on-edge-devices/" rel="permalink">AI on Edge Devices </a>

      <span class="pub-category-badge pub-category-edge-ai">
        Edge AI
      </span>
    
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    <p class="archive__item-excerpt">
      Lightweight AI deployment on edge devices, including Raspberry Pi-based computer vision systems.

    </p>
  
    <p class="pub-meta">
      
        <strong>Type:</strong> Deployment Project
      
         · 
        <strong>Status:</strong> Completed
      
         · 
        <strong>Year:</strong> 2025
      
    </p>
  
  <p class="pub-buttons">
    <a href="https://rashidrao-pk.github.io//projects/ai-on-edge-devices/" class="custom-btn btn-paper">Project Page</a>

      <a href="https://github.com/rashidrao-pk/AI_on_Edge_Devices" target="_blank" class="custom-btn btn-code">Code</a>
    
  </p>

    <p class="pub-meta">
      <strong>Research Area:</strong>
      Edge AI, Computer Vision, Embedded AI
    </p>
  
    <p class="pub-meta">
      <strong>Technologies:</strong>
      Python, Raspberry Pi, TensorFlow Lite, OpenCV
    </p>
  
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    <img src=
      
        "https://rashidrao-pk.github.io//images/../files/papers_data/anomaly_detection_xai.gif"
      
      alt="Explainable Anomaly Detection">
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<div class="pub-content project-content">

  <h2 class="archive__item-title" itemprop="headline">
    <a href="https://rashidrao-pk.github.io//projects/explainable-anomaly-detection/" rel="permalink">Explainable Anomaly Detection </a>

      <span class="pub-category-badge pub-category-explainable-ai">
        Explainable AI
      </span>
    
  </h2>

    <p class="archive__item-excerpt">
      A case study on building trust in anomaly detection systems using VAE-GAN models and explainable AI.

    </p>
  
    <p class="pub-meta">
      
        <strong>Type:</strong> Research Project
      
         · 
        <strong>Status:</strong> Published
      
         · 
        <strong>Year:</strong> 2024
      
    </p>
  
  <p class="pub-buttons">
    <a href="https://rashidrao-pk.github.io//projects/explainable-anomaly-detection/" class="custom-btn btn-paper">Project Page</a>

      <a href="https://github.com/rashidrao-pk/anomaly_detection_trust_case_study" target="_blank" class="custom-btn btn-code">Code</a>
    
  </p>

    <p class="pub-meta">
      <strong>Research Area:</strong>
      Explainable AI, Anomaly Detection, Computer Vision
    </p>
  
    <p class="pub-meta">
      <strong>Technologies:</strong>
      Python, PyTorch, VAE-GAN, XAI
    </p>
  
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  <div class="pub-thumb project-thumb">
    <img src=
      
        "https://rashidrao-pk.github.io//images/../files/papers_data/LIME-Image-workflow.png"
      
      alt="LIME Stratified Sampling">
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<div class="pub-content project-content">

  <h2 class="archive__item-title" itemprop="headline">
    <a href="https://rashidrao-pk.github.io//projects/lime-stratified-sampling/" rel="permalink">LIME Stratified Sampling </a>

      <span class="pub-category-badge pub-category-explainable-ai">
        Explainable AI
      </span>
    
  </h2>

    <p class="archive__item-excerpt">
      An improved LIME sampling strategy for generating more stable and reliable image explanations.

    </p>
  
    <p class="pub-meta">
      
        <strong>Type:</strong> Research Project
      
         · 
        <strong>Status:</strong> Published
      
         · 
        <strong>Year:</strong> 2024
      
    </p>
  
  <p class="pub-buttons">
    <a href="https://rashidrao-pk.github.io//projects/lime-stratified-sampling/" class="custom-btn btn-paper">Project Page</a>

      <a href="https://github.com/rashidrao-pk/lime_stratified" target="_blank" class="custom-btn btn-code">Code</a>
    
      <a href="https://ojs.aaai.org/index.php/AAAI/article/view/29397" target="_blank" class="custom-btn btn-paper">Paper</a>
    
  </p>

    <p class="pub-meta">
      <strong>Research Area:</strong>
      Explainable AI, Computer Vision, Image Explanations
    </p>
  
    <p class="pub-meta">
      <strong>Technologies:</strong>
      Python, LIME, Computer Vision, XAI
    </p>
  
</div>

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    <img src=
      
        "https://rashidrao-pk.github.io//images/../files/projects/applied_research.png"
      
      alt="Applied and Freelance Research Projects">
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<div class="pub-content project-content">

  <h2 class="archive__item-title" itemprop="headline">
    <a href="https://rashidrao-pk.github.io//projects/applied-freelance-research/" rel="permalink">Applied and Freelance Research Projects </a>

      <span class="pub-category-badge pub-category-applied-ai">
        Applied AI
      </span>
    
  </h2>

    <p class="archive__item-excerpt">
      Applied research and freelance projects in medical imaging, computer vision, machine learning, and intelligent decision systems.

    </p>
  
    <p class="pub-meta">
      
        <strong>Type:</strong> Applied Research
      
         · 
        <strong>Status:</strong> Completed
      
         · 
        <strong>Year:</strong> 2017–2022
      
    </p>
  
  <p class="pub-buttons">
    <a href="https://rashidrao-pk.github.io//projects/applied-freelance-research/" class="custom-btn btn-paper">Project Page</a>

      <a href="https://github.com/rashidrao-pk/r4sshd/tree/main/project_completed" target="_blank" class="custom-btn btn-code">GitHub</a>
    
      <a href="/projects/feedbacks/" class="custom-btn btn-demo">Testimonials</a>
    
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    <p class="pub-meta">
      <strong>Research Area:</strong>
      Medical Imaging, Computer Vision, Machine Learning
    </p>
  
    <p class="pub-meta">
      <strong>Technologies:</strong>
      MATLAB, Python, Deep Learning, Machine Learning
    </p>
  
</div>

Muhammad Rashid

Projects & Research Work