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  <title>Fadi Al Machot — Applied Machine Learning Research</title>
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    <h1>Fadi Al Machot</h1>
    <h2>Assoc. Prof. PD. Dr. techn. habil. — Applied Machine Learning Research</h2>
    <p>Machine Learning • Neural-Symbolic Learning • Explainable AI • Zero/Few-Shot Learning</p>
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        <img src="images/fafi.png" alt="Fadi Al Machot">
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          <h2>About Me</h2>
          <p>
            I am <strong>Assoc. Prof. PD. Dr. techn. habil. Fadi Al Machot</strong>, specializing in
            Zero/Few-Shot Learning, Explainable AI, Temporal Data Analysis, and Neural-Symbolic Learning with Knowledge Representation.
            My research focuses on impactful applications in healthcare, assisted living, automotive (ADAS), smart agriculture, and bioinformatics —
            developing lightweight and context-aware AI systems that bridge logic, learning, and real-world needs.
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            <strong>Current Position:</strong><br>
            Associate Professor in Data Science (Machine Learning), Norwegian University of Life Sciences (NMBU), Faculty of Science and Technology (REALTEK)
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          <ul>
            <li>2020 – Habilitation in Applied Computer Science, University of Lübeck, Germany</li>
            <li>2013 – Doctorate in Computer Science, University of Klagenfurt, Austria</li>
            <li>2010 – Diplom in Computer Science, University of Potsdam, Germany</li>
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          <p><strong>European Research Patent:</strong> “Quality Determination in Data Acquisition,” EP2790165, with Swarco Traffic Systems GmbH, Germany.</p>
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      <h2>News & Updates</h2>
      <ul>
        <li><strong>25 Jul 2025:</strong> Review published in <i>Renewable and Sustainable Energy Reviews</i>: <a target="_blank">Advances in Computational Intelligence for Floating Offshore Wind Turbines</a>.</li>
        <li><strong>12 Jun 2025:</strong> Norway’s Billion-Kroner AI Initiative: Funding for the Norwegian Centre on AI for Decisions (AID).</li>
        <li><strong>31 Mar 2025:</strong> Panel Convenor at NorDev25 (NMBU): “AI and Sustainable Development.”</li>
        <li><strong>01 Jan 2025:</strong> Paper accepted at WACV 2025 Workshop: “SEER-ZSL.”</li>
        <li><strong>2024–2025:</strong> Multiple new publications in IEEE Access, Elsevier, and Springer books on Explainable AI and Zero/Few-Shot Learning.</li>
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      📧 <a href="mailto:fadi.al.machot@nmbu.no">fadi.al.machot@nmbu.no</a><br>
      Norwegian University of Life Sciences (NMBU) — Faculty of Science and Technology (REALTEK)
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    <p style="margin-top:10px;">Last updated: October 2025</p>
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