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Nour Aburaed
Affiliation
College of Engineering and IT, University of Dubai, Dubai, UAE
Topic
Convolutional Neural Network,Peak Signal-to-noise Ratio,Deep Convolutional Neural Network,Multispectral Images,Spatial Resolution,Spectral Angle Mapper,Convolutional Layers,Single Image Super-resolution,Neural Network,Super-resolution,Dimensionality Reduction,Low Resolution,Spectral Resolution,3D Convolution,Attention Mechanism,High Spectral Resolution,High-resolution,Hyperspectral Image Datasets,Hyperspectral Imagery,Pavia University,Pavia University Dataset,Remote Sensing,Structural Similarity Index Measure,Bicubic Interpolation,Flood Mapping,Hyperspectral Image Classification,Loss Function,Mean Square Error,Object Detection,Point Spread Function,Residual Connection,Root Mean Square Error,Salinas Dataset,Scaling Factor,Spectral Bands,Support Vector Machine,Synthetic Aperture Radar,Artificial Neural Network,Average Accuracy,Classification Results,Color Images,Disaster Management,False Negative Cases,False Positive Cases,Feature Maps,Fully-connected Layer,Fusion Method,Generative Adversarial Networks,High Spatial Resolution,High-resolution Images,
Biography
Nour Aburaed (Graduate Student Member, IEEE) received the B.S. degree in computer engineering from Khalifa University of Science and Technology, Abu Dhabi, UAE, in 2014, and the M.S. degree in electrical and computer engineering from the same university in 2016, particularly specialized in High-ISO image de-noising and Quantum Image Processing.
From 2016 to 2018, she was a Teaching Assistant with Khalifa University of Science and Technology for various theoretical and laboratory-based courses, including Calculus and Physics. She has been a Research Assistant with the Mohammed Bin Rashid Space Centre (MBRSC) Laboratory based at the University of Dubai since June 2018, where she applies image processing and artificial intelligence techniques within the context of remote sensing. She is also currently a PhD student at the University of Strathclyde, where she researches spatial enhancement techniques of hyperspectral remote sensing imagery. Her interests include hyperspectral imagery, super resolution, object detection, semantic segmentation, and convolutional neural networks. She was the recipient of the President's Scholarship and Master Research Teaching Scholarship (MRTS) from Khalifa University of Science and Technology for International Students.
From 2016 to 2018, she was a Teaching Assistant with Khalifa University of Science and Technology for various theoretical and laboratory-based courses, including Calculus and Physics. She has been a Research Assistant with the Mohammed Bin Rashid Space Centre (MBRSC) Laboratory based at the University of Dubai since June 2018, where she applies image processing and artificial intelligence techniques within the context of remote sensing. She is also currently a PhD student at the University of Strathclyde, where she researches spatial enhancement techniques of hyperspectral remote sensing imagery. Her interests include hyperspectral imagery, super resolution, object detection, semantic segmentation, and convolutional neural networks. She was the recipient of the President's Scholarship and Master Research Teaching Scholarship (MRTS) from Khalifa University of Science and Technology for International Students.