Mohamed Abul Hassan, Ph.D.
Mohamed Abul Hassan is a Postdoctoral Researcher with the Biomedical Engineering Department at the University of California, Davis. His research aims to improve medical decision-making, enhance patient outcomes, and streamline healthcare processes using machine learning, computer vision algorithms. This extends to working with novel medical imaging modalities and unstructured clinical data, analyzing patterns, and providing recommendations to healthcare providers. In the past eight years, he has worked on unique healthcare projects addressing clinical needs for surgical guidance, disease diagnosis, and remote health monitoring.
Mohamed believes that healthcare should be a universal enabler, transcending barriers and making health services accessible to all, regardless of their geographic, economic, or social status.
Remote Health Monitoring
🎓 Ph.D. in Electronic Engineering, 2018
🎓 M.S. in Electronic Engineering, 2015
🎓 B.E. in Electrical and Electronic Engineering, 2012
Journal Club for CV/ML focused on Biomedical Engineering Applications
Manuscript Alert! FLIm augmented ML model for margin detection of diffuse glioma
FLIm Augmented Semi-Supervised Model to Detect Residual Tumor during TORS
Webcamera-Based Neurological Eye Examination
This study takes a step toward AI-assisted stroke diagnosis for telehealth. We developed to detect the pupil center to estimate clinically relevant conjugate eye movement without the need for calibration or sophisticated eye trackers.
Published: IEEE Journal of Biomedical and Health Informatics
Non-calibrated Eye Tracker for Detecting Abnormal Eye Movement