MH

Mahmoud Hassaballah

Also known as: M. Hassaballah

Ehime University, South Valley University

Research areas: Computer Science · Computer Vision and Pattern Recognition · Face and Expression Recognition · Face recognition and analysis · Advanced Neural Network Applications

ORCID iD 0000-0001-5655-8511

About

M. Hassaballah received the B.Sc.,M.Sc. from South Valley University, Egypt and the Doctor of Engineering (D.Eng.) in Computer Science from Ehime University, Japan in 2011. He was a visiting scholar with the Department of Computer & Communication Science, Wakayama University, Japan in 2013 and GREAH laboratory, Le Havre Normandie University, France in 2019. He is currently a Professor of Computer Science at the Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Saudi Arabia. Also, he is a full Professor of Computer Science at the Department of Computer Science, Faculty of Computers and Information, South Valley University, Egypt. He serves as a reviewer for several Journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Industrial Informatics, IEEE Transactions on Fuzzy Systems, Neurocomputing, Pattern Recognition, Pattern Recognition Letters, IET Image Processing, IET Computer Vision, IET Biometrics, Journal of Real-Time Image Processing, The Computer Journal, Journal of Electronic Imaging, and Optical Engineering. He has published 5 books and over 100 research papers in refereed international journals and conferences. He is an Editorial Board member of Pattern Analysis and Applications, Real-Time Image Processing, IET Image Processing and Wireless Communications and Mobile Computing Journals. Also, he is a TPC member of many conferences, such as ICIAR 2020, IVPAI 2020, AICS 2020, AICS 2021, IVPAI 2021, AVSS 2022, PRIS 2023, ICFIP 2023, and CIPCV 2024. His research interests include human-centered artificial intelligence, machine learning, computer vision, biometrics, image processing, feature extraction, object detection/recognition, and data hiding.

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Education

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