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Mohamed Loey Ramadan

Assistant Professor in Cybersecurity - College of Engineering

Contact Details
Name: Mohamed Loey Ramadan
Job Title: Assistant Professor in Cybersecurity
College: College of Engineering
Email: mohamed.ramadan@asu.edu.om
Phone: Ext.
Contact Details
Mohamed Loey is currently an Associate Professor in the Faculty of Computers and Artificial Intelligence, Benha University. In 2024, he is Assistant professor seconded to College of Engineering, A’Sharqiyah University, Oman. In 2022, he is assistant professor seconded to Buraydah Colleges, Saudi Arabia. In 2021, he was a head and coordinator of information technology program in New Cairo Technological University, Egypt. He received the B.Sc., and M.Sc. degrees from the Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University in 2006, 2009, respectively. In 2008, he was an assistant lecturer in Sinai University. He received the PhD. degrees from the Computer Science Department, Faculty of Computers and Artificial Intelligence, Benha University in 2017. He is a reviewer in different international journals. He has published over 30 publications with over 4100 citations. He has several publications in reputed and high impact journals published by Elsevier, Springer, and others. His research interests include deep learning, machine learning, computer vision, image processing, big data, and computational neuroscience.
Ph.D., Computer Science, Benha University (2017) M.Sc., Information Technology, Cairo University (2009) B.Sc., Information Technology, Cairo University (2006)
Deep Learning Cybersecurity Machine Learning Computer Vision Image Processing Big Data Computational Neuroscience
Journal paper
Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection
DOI/URL: https://doi.org/10.1016/j.scs.2020.102600

A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic
DOI/URL: https://doi.org/10.1016/j.measurement.2020.108288

Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning
DOI/URL: https://doi.org/10.3390/sym12040651

Over 30 publications with more than 4100 citations Reviewed for various international journals Authored articles in prestigious journals by Elsevier, Springer, and others