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title: "Research"
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<p>My research focuses on developing intelligent, trustworthy, and scalable computational systems across healthcare, cybersecurity, and software engineering.</p>

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<h2>1. Multimodal Medical Data Analysis for Precision Healthcare </h2>

<p>
This research project integrates medical imaging, clinical data, and advanced machine learning techniques to improve disease prediction, tumor classification, and clinical decision support systems.
</p>

<h3>Sub-Projects</h3>

<ul>
  <li><strong>Medical Image Analysis with Deep Learning:</strong>  
  Deep learning models for histopathological whole slide image (WSI) analysis.</li>

  <li><strong>Tumor Classification with Quantum Machine Learning (QML):</strong>  
  Hybrid quantum-classical models for tumor mutation prediction and classification.</li>

  <li><strong>Reinforcement Learning-Based Fusion Models:</strong>  
  Adaptive fusion of multiple models to improve prediction accuracy and robustness.</li>

  <li><strong>Generative AI for Clinical Decision Support:</strong>  
  Evidence-grounded large language models for reliable medical interpretation. </li>
</ul>

<p>
<a href="#">[Publications]</a>
</p>

<hr />

<h2>2. Sentiment Analysis in Patient–Clinician Interactions</h2>

<p>
This project focuses on analyzing sentiment in patient-clinician communication using transformer-based deep learning models to improve healthcare experience and communication quality.
</p>

<p>
<a href="https://ieeexplore.ieee.org/abstract/document/11367613" target="_blank">[Publication]</a>
</p>

<hr />

<h2>3. Quantum Machine Learning for Cybersecurity</h2>

<p>
This research explores the application of quantum machine learning techniques to address critical cybersecurity challenges.
</p>

<h3>Sub-Projects</h3>

<ul>
  <li><strong>Malware and Ransomware Analysis:</strong>  
  Detection and classification using quantum neural networks and hybrid QML models.</li>

  <li><strong>Software Supply Chain Vulnerabilities:</strong>  
  Detection of vulnerabilities in source code using quantum-enhanced learning approaches.</li>
</ul>

<p>
<a href="#">[Publications]</a>
</p>

<hr />

<h2>4. Blockchain for Secure Healthcare Infrastructure</h2>

<p>
This project investigates blockchain-based architectures for secure, decentralized, and privacy-preserving healthcare data management systems, including remote patient monitoring.
</p>

<p>
<a href="#">[Publications]</a>
</p>

<hr />

<h2>5. Non-Invasive Human Hygiene Monitoring using Machine Learning</h2>

<p>
An IoT-based framework for non-invasive human hygiene monitoring using machine learning techniques, contributing to intelligent health informatics systems.
</p>

<p>
<a href="https://ieeexplore.ieee.org/abstract/document/9874545" target="_blank">[Publication]</a>
</p>