Mohammad Alsharid

Mohammad Alsharid is a Visiting Fellow at the University of Oxford's Institute of Biomedical Engineering and a postdoctoral research fellow at Khalifa University. He holds a DPhil in Engineering Science (2022) from the University of Oxford, where his thesis focused on automated textual captioning for ultrasound visuals. His research integrates machine learning, natural language processing, and computer vision to advance biomedical image analysis, particularly in fetal ultrasound. Alsharid’s work emphasizes multimodal interplay in medical imaging and automated workflow analysis.

Education: DPhil in Engineering Science (2022), University of Oxford; BSc (exact discipline unspecified).

Research Interests: Develop AI-driven solutions for medical imaging through multimodal learning, curriculum learning approaches for ultrasound captioning, and automated analysis of fetal echocardiography scans. His methods leverage gaze-assisted systems and self-supervised representation learning for improved diagnostic support.

Publications Highlight Trends: Focus on automated captioning for medical videos, curriculum-based learning frameworks, and multimodal neural networks for biomedical applications.

Lab Affiliations: Active in the Institute of Biomedical Engineering at Oxford, contributing to interdisciplinary projects in AI and healthcare.