Dr. Nour Aburaed is an Assistant Professor of Computer Engineering at the University of Dubai, specializing in artificial intelligence, image processing, and remote sensing. Her research focuses on developing AI-powered methods to extract meaningful insights from satellite and aerial imagery—technologies that are increasingly essential to enabling smarter infrastructure, environmental monitoring, and future-facing urban systems.
She holds a PhD in Electronic and Electrical Engineering from the University of Strathclyde (UK), where she developed super-resolution techniques to enhance the spatial quality of hyperspectral satellite imagery. Prior to her academic role, Dr. Aburaed spent several years as a researcher at the Mohammed Bin Rashid Space Centre Lab, where she worked on projects related to land cover mapping, vegetation analysis, and analysis of traffic accidents.
Her expertise supports adjacent domains critical to self-driving technologies, including geospatial analysis, data fusion, and environmental awareness—all of which help lay the foundation for intelligent and adaptive urban systems and smart cities. Her tools and techniques have been used in national-scale applications across the UAE, including monitoring palm trees.
Dr. Aburaed is an active member of the IEEE community, currently serving as the Secretary of the IEEE Communications and Signal Processing Joint Society UAE Chapter. She also reviews for leading journals and conferences in AI and remote sensing. Through her work, she aims to bridge Earth observation data and machine learning to support a wide range of smart city and sustainability goals.
