Walid Abdallah Shobaki Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
grad_student
Research Areas
Biography and Research Information
OverviewAI-generated summary
Walid Abdallah Shobaki is a graduate student at the University of Arkansas at Little Rock whose research encompasses gaze tracking, assistive technology, hand gesture recognition systems, and retinal imaging analysis. Shobaki's recent work focuses on optimizing eye-gaze writing through computer vision and predictive text integration. His comparative study of object detection models such as YOLO, SSD, and Faster R-CNN explores methods to improve the efficiency of eye-gaze-based communication systems.
Shobaki's primary research interest lies in applying computer vision techniques to develop assistive technologies.
Metrics
- h-index: 1
- Publications: 2
- Citations: 11
Selected Publications
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A Comparative Study of YOLO, SSD, Faster R-CNN, and More for Optimized Eye-Gaze Writing (2025)
Collaboration Network
Top Collaborators
- A Comparative Study of YOLO, SSD, Faster R-CNN, and More for Optimized Eye-Gaze Writing
- Advancing Eye-Gaze Writing through the Integration of Computer Vision and Predictive Text