Research Associate · Biomedical AI & Translational Bioengineering
Department of Electrical Engineering · Qatar University · Doha, Qatar

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Connecting biomedical data, robust machine learning, and engineering to advance reproducible healthcare research.

Salam, and welcome. I am a bioengineering researcher with a BSc (Hons.) and MSc in Electrical Engineering from Qatar University. My work brings together medical image computing, physiological signal processing, wearable sensing, biospectroscopy, and computational biomechanics.

I develop and evaluate computational methods for heterogeneous biomedical data, with particular interests in multimodal learning, foundation-model adaptation, domain generalization, and rigorous validation. My research spans data and experimental pipeline development, model design, clinical collaborations, and open research dissemination.

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_{Publication and project counts reflect my 2026 academic records; journal quartiles are reported as classified in those records.}

flowchart LR
    A["Medical images<br/>CT · MRI · Ultrasound"] --> D["Segmentation &<br/>representation learning"]
    B["Physiological signals<br/>ECG · PPG · EEG"] --> E["Reconstruction &<br/>time-series modeling"]
    C["Wearables & biosensing<br/>Insoles · IMUs · SERS"] --> F["Sensor fusion &<br/>domain adaptation"]
    D --> G["Rigorous validation<br/>Generalization · Reproducibility"]
    E --> G
    F --> G

• Multiphase liver CT: liver-guided segmentation and complementary-phase evidence fusion for robust liver-tumor analysis.
• Multimodal diabetic-foot assessment: anatomical alignment and fusion of RGB and thermal images for clinically relevant evaluation.
• Portable 3D biomechanics: integrating smart-insole measurements and movement kinematics for force, moment, and center-of-pressure estimation.
• Cross-device microbial spectroscopy: SERS standardization and generalizable classification across acquisition conditions.

Representative contributions across medical imaging, biomedical sensing, and robust AI are listed below. For a full, up-to-date publication record, see Google Scholar or Scopus.

My public repositories include implementations accompanying peer-reviewed studies as well as reusable modeling components. Please refer to individual repositories for documentation, dependencies, data-access conditions, and licensing.

_{The dashboard is generated by a scheduled GitHub Action and committed to this repository. Language proportions reflect public GitHub repository content, not the full breadth of my research work.}

I welcome discussions on medical imaging, biomedical AI, physiological computing, wearable sensing, biospectroscopy, and reproducible research, particularly collaborative projects connecting engineering methods with clinical and experimental questions.

Academic email · Publications · Open-source research · LinkedIn