Meh Jabeen

University of Lahore, Tianjin University

Papers

Total Citations

H-Index

About

Meh Jabeen is a robotics researcher whose work bridges the critical gap between autonomous systems and real-world environmental challenges. Her primary research areas include swarm robotics, odor source localization, and indoor scene understanding. Jabeen's most impactful contribution is her pioneering work on behavior-based swarm robotic search and rescue, where she developed a fuzzy controller that enables robot teams to autonomously navigate and locate targets in disaster scenarios—a paper that has garnered 37 citations and laid the groundwork for intelligent emergency response systems. She has also advanced the field of chemical sensing with her gradient adaptive extremum seeking algorithm for robot odor source localization in indoor environments (22 citations), offering a novel approach to environmental monitoring and hazardous material detection. Additionally, her work on indoor layout estimation using HRNet-based monocular RGB image segmentation (4 citations) demonstrates her versatility in computer vision, with applications ranging from robot positioning to virtual reality. Jabeen's research consistently addresses practical, high-stakes problems, making her a notable figure in the development of autonomous systems for safety-critical and environmental applications.