Published 27 papers with a total of 436 citations. Some notable works include:
- Integrating Fitbit Wearables and Self-Reported Surveys for Machine Learning-Based State–Trait Anxiety Prediction
- Semi-Supervised 3D Medical Segmentation from 2D Natural Images Pretrained Model
- Machine Learning Prediction of Agitation in Dementia Patients Using Sleep and Physiological Data
- Automated Fetal Biometry Assessment with Deep Ensembles Using Sparse-Sampling of 2D Intrapartum Ultrasound Images
- Transferring Learned ECG Representations for Deep Neural Network Classification of Atrial Fibrillation with Photoplethysmography
Research Experience
Conducted research at Assim Sagahyroon's Lab; involved in multiple research projects such as integrating Fitbit wearables and self-reported surveys for machine learning-based state–trait anxiety prediction, semi-supervised 3D medical segmentation from 2D natural images pretrained model, etc.
Education
Bachelor of Engineering from the American University of Sharjah, Department of Computer Science and Engineering
Background
Research interests include machine learning, medical image processing, and biomedical engineering. Specializes in Computer Science and Engineering.