Waleed Qadi

Princess Sumaya University for Technology

Papers

Total Citations

H-Index

About

Dr. Waleed Qadi is a researcher whose work lies at the intersection of computer vision, embedded systems, and robotics, with a particular focus on making advanced tracking technologies accessible and practical. His most cited contribution, "A compact portable object tracking system" (2014), addresses a critical gap in the field: the lack of affordable, miniaturized tracking solutions suitable for deployment on small ground or aerial robots. By prioritizing compactness and cost-effectiveness, Dr. Qadi’s work has helped democratize object tracking, enabling applications in autonomous navigation, surveillance, and mobile robotics where size and budget constraints are paramount. While his citation count reflects the niche, early-stage nature of this specific hardware-focused contribution, his research has laid important groundwork for integrating computer vision into resource-constrained platforms. Dr. Qadi’s efforts highlight the engineering challenges of bridging sophisticated algorithms with real-world, portable hardware—a vital step toward practical, deployable robotic systems. His work continues to inspire students and researchers interested in the convergence of efficient vision systems and autonomous mobility.