Shehzad Khalid

Imam Mohammad ibn Saud Islamic University

Papers

Total Citations

H-Index

About

Dr. Shehzad Khalid is a leading researcher in computer vision and artificial intelligence, with a primary focus on egocentric vision, object recognition, and deep learning architectures. His most notable contribution is the development of **EgoVision**, a pioneering YOLO-ViT hybrid framework that robustly addresses object recognition from first-person perspectives. This work tackles critical challenges in assistive technologies, augmented reality, and human-computer interaction, where occlusions and dynamic viewpoints often degrade performance. By integrating the speed of YOLO with the contextual power of Vision Transformers, Dr. Khalid’s approach sets a new benchmark for real-time, accurate egocentric perception. His research has already garnered attention, with his top-cited paper accumulating citations within its first year, signaling strong impact in the field. Beyond this, Dr. Khalid’s broader work spans AI-driven systems for autonomous navigation and human-centered computing, consistently pushing the boundaries of how machines interpret visual data from a human’s point of view. His innovative hybrid models are shaping the next generation of intelligent, context-aware technologies.