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About

Hanan A. Atiyah is an emerging researcher specializing in mobile robotics, autonomous localization, and applied machine learning, with a particular focus on solving real-world navigation challenges in outdoor and adverse environmental conditions. Her work addresses one of the most persistent problems in robotics: accurately determining a mobile robot's position when traditional GPS systems fall short and conventional sensors are compromised by weather, lighting variations, or environmental unpredictability. Atiyah's most notable contributions center on developing robust localization frameworks that leverage cutting-edge sensing and computational techniques. Her 2021 paper introduced a 3D LiDAR-based localization system combining Principal Component Analysis with K-Nearest Neighbors algorithms, earning 6 citations and establishing her foundational approach to the field. She subsequently expanded this work by integrating Convolutional Neural Networks with 3D data for four-wheeled mobile robots in 2022, followed by a deep learning-based outdoor localization framework designed to perform reliably across diverse weather conditions in 2023. Together, these papers have accumulated 13 citations, reflecting growing community interest in her research trajectory. Her body of work demonstrates a clear and progressive vision: building intelligent, sensor-fusion systems that enable mobile robots to navigate confidently in unpredictable real-world environments, making her a noteworthy contributor to applied robotics and autonomous systems research.