Ph.D. in Systems Optimization and Security, University of Technology of Troyes, France
M.E. in Computer Engineering, Lebanese University, Lebanon
B.E. in Electrical and Electronics Engineering, School of Engineering, Lebanese University, Lebanon
Dr. Marwa Chendeb El Rai joined AUD as Assistant Professor of Information Technology in Fall 2022. She is an active instructor with a teaching portfolio that includes more than 15 different courses in her areas of expertise. Her teaching philosophy focuses on a strong commitment to connecting with students in order to help them expand their boundaries. She empower students by making them active participants in their own education and by showing them the real-world applications of each course taught.
Prior to joining AUD, she taught at the University of Sharjah and the University of Dubai, as well as at Khalifa University, where she worked as a Research Associate focused on the crossroad of artificial intelligence and image processing. She developed a statistical and appearance model to recognize facial landmarks that can be used in the screening of infants with facial dysmorphologies. This work has been echoed in several high venues including the prestigious IEEE conference on Image processing.
Additionally, Dr. Chendeb developed a semi-supervised learning algorithm based on Graph Signal Processing for the detection of ships using Synthetic Aperture Radar images, which are able to monitor the shore at any time of day and in any whether conditions. Her work has been published in the top journals of geosciences and remote sensing.
In 2006, Dr. Marwa Chendeb El Rai held the position of a Postdoctoral Researcher within the GSII (Signal Image and Instrumentation Research Group) at ESEO (École Supérieure d'Electronique de l'Ouest), Angers, France where she developed a method to estimate the parameters and the directions of arrival of ultra-high-energy cosmic rays under CODALEMA project (COsmic ray Detection Array with Logarithmic ElectroMagnetic Antennas), which was funded by ANR (National Agency of Research).
In her free time, she enjoys reading and walking.