Noor Sajjad is a Research Associate with the SuperWorld Group at the CYENS Centre of Excellence. She holds a Master of Science (M.S.) degree in Electrical Engineering, specializing in Artificial Intelligence and Autonomous Systems, from NUST SEECS, Pakistan. Her background includes focusing on Computer Vision and the development of AI algorithms for IoT-based systems. Currently, her research involves applying Deep Learning methodologies to analyze advanced Remote Sensing, Aerial, and Satellite Imagery, with a particular emphasis on utilizing Hyperspectral Data for crucial crop health monitoring. Her broader areas of interest include remote sensing, deep learning, artificial intelligence, precision agriculture, and embedded systems.