Assistant Professor
PhD degree Multidisciplinary Engineering
Bio
Dr. Rasha Alshehhi has Master degree in Computer Engineering and PhD degree in Multidisciplinary Engineering from Masdar Institute for Science and Technology with Collaboration with Massachusetts Institute of Technology. She worked as a Leader Software Engineer, Postdoctoral Fellow, Research Scientist, Principle Data Scientist in different sectors such as Khalifa University, New York University Abu Dhabi and many other companies related to Military Forces and National Security. She worked on different international research projects in collaboration with Massachusetts Institute, Max-Planck and TATA Institute. In addition, she worked in collaboration with Tawam Hospital, and the National Center of Space Science and technology, UAE University. She also contributed to digital transformation in different companies of Military forces and National Security. She is a reviewer and an editor of many international journals and has various publications in international journals of remote sensing, astrophysics, medical and computer vision.
Office
Abu Dhabi - Khalifa City, FF3.1.035
Phone:
+971 2 599 3711
Email:
rasha.alshehhi@zu.ac.aeTeaching Areas
Data Science and Programming
Research and Professional Activities
Research area:
● Computer Vision and Image Processing
● Artificial Intelligence and Deep Learning
● Data Science and Big Data
● Medical Imaging and Remote Sensing
Selected publications:
● R. Alshehhi and C. Gebhardt, “Automated Geological Landmarks Detection on Mars using Deep Domain Adaptation from Lunar High-Resolution Satellite Image”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
● S. Bhattacharjee, R. Alshehhi, D. B. Dhuri, and S. M. Hanasoge, “Supervised Convolutional Neural Networks for Classification of Flaring and Non Flaring Active Regions using Line-of-Sight Magnetograms”, American Astronomical Society, 2020
● R. Alshehhi, P. Marpu, W. Woon and Mauro Dalla Mura, “Simultaneous Extraction of Roads and Buildings in High-Resolution Satellite Imagery of Urban Areas with Convolution Neural Networks”, International Society for Photogrammetry and Remote Sensing, 2017
● R. Alshehhi and P. Marpu, “Hierarchical Graph-based Segmentation for Extracting Road Networks from High-Resolution Satellite Images“, International Society for Photogrammetry and Remote Sensing, 2017
