I am Mohamed Loey, Associate Professor with the Department of Computer Science in the Faculty of Computers and Artificial Intelligence at The University of Benha .

My research focuses on Artificial Intelligence . Specifically, machine learning (supervised learning algorithms, unsupervised learning algorithms) and deep learning (deep neural networks, deep belief networks, recurrent neural networks, convolutional neural networks and transformers). My interests include medical image analysis, computer vision, speech recognition, and natural language processing. Performance analysis is my favorite way of investigation using tracing or simulation tools. Lately, I've been listed in the World’s Top 2% Scientists in 2022 and 2023, released by Stanford University and Scopus.

Education and Experience

Mohamed Loey is currently an Associate Professor in the Faculty of Computers and Artificial Intelligence, Benha University. He is Associate 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 PhD. degrees from the Computer Science Department, Faculty of Computers and Artificial Intelligence, Benha University in 2017. 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.

Publication and Peer Review

Mohamed Loey has published over 25 publications with over 3500 citations. He has published high-quality research papers (e.g., Computers in biology and medicine, Cognitive Computation, Neural Computing and Applications, Artificial Intelligence Review, Measurement, Sustainable Cities and Society, Symmetry, Expert Systems, etc.). He is also a reviewer in many top-tier conferences/journals (e.g., IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, MATHEMATICAL METHODS IN THE APPLIED SCIENCES, IEEE ACCESS, PLOS ONE, CLUSTER COMPUTING, SOFT COMPUTING and many more).