Hanan Aljuaid

Princess Nourah bint Abdulrahman University, Taif University

Papers

Total Citations

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About

Dr. Hanan Aljuaid is a leading researcher in intelligent perception systems, computer vision, and autonomous robotics, with a particular focus on multi-object detection and dynamic scene understanding. Her most impactful work, "Remote intelligent perception system for multi-object detection" (2024), has garnered 65 citations, demonstrating its significant influence on advancing visual sensor technology for classifying complex robotic environments. Dr. Aljuaid has also pioneered the application of dynamic graph neural networks for group activity recognition in structured team sports (2025), addressing challenges such as occlusions and dynamic interactions in real-world surveillance and autonomous systems. Earlier in her career, she developed innovative object-tracking algorithms for robotic babysitter vision systems, including the creation of the Child Video Dataset (CVDS) to enhance child-object detection reliability. Her work bridges theoretical advances in neural networks and image processing with practical applications in robotics and safety monitoring. With a growing citation record and contributions spanning from foundational tracking methods to cutting-edge deep learning architectures, Dr. Aljuaid continues to shape the future of intelligent perception and autonomous systems.