Muhammad Zaigham Zaheer

Electronics and Telecommunications Research Institute, University of Science and Technology

Papers

Total Citations

H-Index

About

Muhammad Zaigham Zaheer is a researcher advancing the frontiers of autonomous navigation and visual surveillance. His work centers on developing intelligent systems that perceive and interpret complex environments, with a particular focus on pedestrian-level perspectives and collaborative human-robot interaction. Zaheer’s most impactful contribution is his 2021 paper on an anomaly detection system using moving surveillance robots with human collaboration, which has garnered 25 citations—a strong indicator of its relevance in the field. This work addresses a critical limitation of static surveillance cameras by enabling autonomous, mobile robots to detect anomalies, significantly expanding coverage and adaptability. Additionally, Zaheer has pioneered intersection classification from a pedestrian-view level, a novel approach that supports safer navigation for slower, smaller robots in environments traditionally studied for autonomous driving or aerial vehicles. His 2020 papers on this topic, while less cited, lay essential groundwork for pedestrian-centric navigation systems. By shifting focus from vehicle to pedestrian perspectives, Zaheer contributes to more inclusive and safer autonomous systems, bridging gaps between human and robotic navigation in complex urban settings.