Moazza Sultan

NED University of Engineering and Technology

Papers

Total Citations

H-Index

About

Moazza Sultan is a researcher specializing in geospatial engineering and 3D mapping, with a focus on developing low-cost, portable laser scanning solutions for GPS-denied environments. Her key research areas include indoor mapping, 3D point cloud generation, and spatial data classification. Sultan’s major contributions involve creating innovative backpack and trolley-mounted systems that combine orthogonal 2D laser scanners—such as Hokuyo and RPLidar devices—to produce georeferenced 3D point clouds of built structures and indoor spaces where GPS signals are unavailable. Her most-cited work, "Development of Georeferenced 3D Point Cloud in GPS Denied Environments Using Backpack Laser Scanning System" (2021, 5 citations), demonstrates a practical method for surveying complex environments, while her earlier study, "Low Cost 2D Laser Scanner Based Indoor Mapping and Classification System" (2019, 2 citations), highlights her commitment to accessible technology by using affordable sensors. Though her citation counts are modest, Sultan’s work is notable for its focus on cost-effective, real-world applications in mapping and classification, offering valuable tools for fields like robotics, construction, and disaster response. Her research bridges the gap between high-end surveying equipment and practical, low-budget solutions, making her a promising contributor to the advancement of mobile mapping systems.