Karam Abughalieh

Princess Sumaya University for Technology

Papers

Total Citations

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About

Karam Abughalieh is a researcher whose work bridges the critical intersection of computer vision, object tracking, and autonomous robotics. His primary research focus is on developing efficient, real-time visual tracking systems optimized for resource-constrained platforms, particularly weight-sensitive unmanned aerial vehicles (UAVs). His most notable contribution is a video-based object detection and tracking system designed specifically for small drones, where payload capacity is a severe limitation. This work, published in 2018 and cited 29 times, directly addresses the challenge of creating compact, affordable tracking solutions that can be mounted on small ground or aerial robots. Prior to this, Abughalieh laid the groundwork with a compact portable object tracking system in 2014, which tackled the prohibitive cost and bulkiness of existing commercial systems. By focusing on algorithmic efficiency and hardware miniaturization, his research enables practical deployment of autonomous tracking in applications ranging from surveillance to precision agriculture. His contributions are particularly valuable for students and engineers seeking to implement vision-based autonomy on small-scale robotic platforms.