Margarita Skamantzari
Papers
1
Total Citations
2
H-Index
1
About
Dr. Margarita Skamantzari is a rising researcher at the intersection of computer vision, deep learning, and urban infrastructure management. Her primary research focuses on developing automated, UAV-based systems for the detection and localization of critical urban elements, with a particular emphasis on Removable Urban Pavements (RUPs)—innovative, accessible pavement systems designed for rapid on-site deployment and maintenance. Dr. Skamantzari’s most cited work introduces a pioneering deep learning framework that leverages the YOLOv8 architecture to autonomously identify RUPs from aerial imagery captured by drones. This contribution directly addresses the challenge of efficiently mapping and managing dynamic urban infrastructure, offering a scalable solution for smart city applications. Her approach not only enhances the speed and accuracy of infrastructure surveys but also reduces the need for manual inspection, marking a significant step toward automated urban asset management. With her work already garnering attention in the field, Dr. Skamantzari is establishing herself as a key contributor to the integration of advanced AI methods with practical, real-world urban engineering challenges.
Research Focus
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Top Papers
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