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<!doctype html>
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<head>
  <meta charset="utf-8">
  <title>Lubnaa Abdur Rahman</title>
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  <meta property="og:site_name" content="Lubnaa Abdur Rahman">
  <meta property="og:title" content="Lubnaa Abdur Rahman">
  <meta property="og:description" content="PhD Student – AI in Health and Nutrition Lab, ARTORG Center, University of Bern">
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<body>
  <div class="sidebar">
    <div class="author__avatar">
      <img src="MyPicture.jpg" alt="Profile picture of Lubnaa Abdur Rahman">
    </div>
    <h3 class="author__name">Lubnaa Abdur Rahman</h3>
    <p class="author__bio">PhD Student<br><i class="fas fa-university inline-icon"></i>University of Bern</p>
    <ul class="author__urls">
      <li><a href="https://www.linkedin.com/in/lubnaaar/"><i class="fab fa-linkedin"></i> LinkedIn</a></li>
      <li><a href="https://github.com/lubnaa25"><i class="fab fa-github"></i> GitHub</a></li>
      <li><a href="https://scholar.google.com/citations?user=qKFHhlcAAAAJ&hl=en"><i class="fas fa-graduation-cap"></i> Google Scholar</a></li>
      <li><a href="https://orcid.org/0000-0001-7271-2814"><i class="fab fa-orcid"></i> ORCID</a></li>
    </ul>
  </div>

  <div class="main">
    <h1>About Me</h1>
    <p>
      I am a doctoral student at the
      <a href="https://www.unibe.ch/" target="_blank">University of Bern</a>
      since 2022, working on applying AI in nutrition as part of
      <a href="https://www.artorg.unibe.ch/research/aihn/group_members/persons/abdur_rahman_lubnaa/index_eng.html" target="_blank">
        ARTORG Center’s AI in Health and Nutrition Lab
      </a>.
      I hold an MSc in Data Science with Distinction (2022)
      and a BSc in Information Technology with First Class Honours from
      <a href="https://www.apu.edu.my/">Asia Pacific University of Technology and Innovation (APU)</a>.
    </p>

    <p>
      I also have industry experience from 2019 to 2022, during which I worked at <a href="https://www.swift.com/" target="_blank">
      SWIFT
      </a>  as a Systems and Application Management and Support Specialist,
      where I gained experience in SAP Basis, SAP GRC, and basic Linux administration.
    </p>

   <p>
  Currently, as a PhD student since 2022 at the AI in Health and Nutrition Lab
  <a href="https://www.artorg.unibe.ch/research/aihn/index_eng.html" target="_blank">of the ARTORG Center, University of Bern</a>,
  my research brings together computer vision and recent advances in AI to enable automatic dietary assessment and personalized, context-aware nutrition.
  My key contributions include work on
  <a href="https://ebooks.iospress.nl/doi/10.3233/FAIA241033" target="_blank">semi-automatic food segmentation</a>,
  addressing the
  <a href="https://link.springer.com/chapter/10.1007/978-3-031-88217-3_1" target="_blank">out-of-distribution challenge in food recognition</a>,
  developing
  <a href="https://dl.acm.org/doi/abs/10.1145/3607828.3617794" target="_blank">depth-based food volume estimation</a>,
  and creating
  <a href="https://arxiv.org/pdf/2507.10156" target="_blank">Food Knowledge Graphs for personalized nutrition recommendations</a>.
  Over the course of my doctorate, I have also contributed to enhancing and scaling the goFOOD™ system
  <a href="https://www.mdpi.com/2072-6643/15/17/3835" target="_blank">as described in recent evaluations</a>
  for deployment in real-world environments and as part of the EU-funded <a href="https://www.melissa-diabetes.eu/" target="_blank">MELISSA project</a>.
  The improved system is now used in several ongoing studies for automatic dietary monitoring and assessment.
   </p>
    <p>
  Alongside my core research, I have developed a growing interest in large language model agentic frameworks, particularly in steering and validating language model behavior at test time using external verifiers.
  I am increasingly exploring how such mechanisms can strengthen reliability and safety in real-world AI systems.
  I also have a strong interest in explainable AI, with a focus on interpretability methods tailored to LLMs to better understand their reasoning processes and support more transparent decision-making pipelines.


  Beyond research, this journey helps me in strengthening my experience in practical AI infrastructure, including Linux server configuration for model execution, working with CUDA environments, and developing APIs that support AI-driven applications.
</p>

  <p>
      Outside of research, I am a cat parent, and caring for my fur baby is a big part of my daily life. My interest in app development grew naturally over the years, and I am developing a pet monitoring app, in my free time,
      for pet owners which I spend some of my free time to update continously. You can explore the project at
      <a href="https://www.yourpetmonitorapp.ch/" target="_blank">yourpetmonitorapp.ch</a>.
  </p>

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