Dr. Ghadah Al Dabbagh
Dr. Aldabbagh received her BSc in 1991 in Computer Science, from the College of Engineering at the University of Illinois at Urbana – Champaign, Illinois, United States; she received her MSc in the Data Communication Networks and Distributed System (DCNDS) from the Computer Science Department at the University College London (UCL) in the United Kingdom (UK); received her PhD in 2010 from the Department of Electronic and Electrical Engineering at UCL, UK.
She holds an Associate Professor position at the Computer Science Department at the Faculty of Computing and Information Technology at King Abdul Aziz University (KAU), Jeddah, Saudi Arabia. Dr. Aldabbagh. Current research interests: Internet of Everything (IoE), providing connectivity of Internet of Things (IoT) devices and sensors for Smart Cities, Self-Driving Cars, Location Awareness, Ad-Hoc Networks, Wireless Sensor Network, Cooperative Communications. Developed technical skills in Optimization, Deep Learning (Artificial Intelligence, Machine learning) and Data Science. During Dr. Aldabbagh’s PhD study at UCL she worked on several European Union (EU) projects in Grid Computing. In 2013, she was awarded KAU HiCi funded research project to work as a principle investigator (PI) with the highly-cited Professor John Cioffi from Stanford University. In 2014, she was awarded two research grants from the National Science, Technology and Innovation Plan at King AbdulAziz City for Science and Technology (KACST) for which, she was the PI. As part of research work conducted on the two KACST projects, Dr. Aldabbagh, worked with the highly-cited Professor Andreas Polydoros from the University of Athens and his research team to assist in training and research activities related to the KACST projects.
During the summers of 2013 and 2014, Dr. Aldabbagh joined Professor John M. Cioffi’s Dynamic Spectrum Management (DSM) Research Group as a visiting professor at Stanford University. In March 2016, Dr. Aldabbagh joined the Laboratory for Information and Decision Systems (LIDS) at Massachusetts Institute of Technology (MIT) as a postdoctoral associate and in March 2017 she continued working at LIDS as a visiting scholar to work on the topic of location-aware ad hoc sensor networks to work with the highly-cited Professor Moe Win. In collaboration with Professor Win’s Wireless Information and Network Systems (WINS) research group, her current focus is to develop scalable, distributed, and energy efficient techniques for scheduling and routing in ad hoc sensor networks with localization-awareness.
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