Prof. Mohamed Ali Hajjaji | Applications of Computer Vision | Top Researcher Award
ISSAT De Sousse | University of Sousse | Tunisia
Prof. Mohamed Ali Hajjaji is a distinguished researcher at the Institut Supérieur des Sciences Appliquées et de Technologie de Sousse, Tunisia, specializing in FPGA-based systems, artificial intelligence, cryptography, and intelligent infrastructure monitoring. He is a key member of the PEJC 2025 project “Intelligent RoadGuard”, funded by the Tunisian Ministry of Higher Education and Scientific Research. With 71 publications cited over 608 times and an h-index of 16, his work spans hardware acceleration of neural networks, chaos-based cryptosystems, and real-time image processing. Collaborating with over 49 co-authors internationally, his research delivers practical solutions for autonomous systems, secure communications, and smart transportation, impacting both technology and societal safety.
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Featured Publications
Improved chaos‑based cryptosystem for medical image encryption and decryption.
– Scientific Programming . (2020). Cited By : 88
Cryptography of medical images based on a combination between chaotic and neural network.
– IET Image Processing. (2016). Cited By : 83
Real‑time implementation of AI‑based face mask detection and social distancing measuring system for COVID‑19 prevention.
-Scientific Programming. (2021). Cited By : 81
FPGA implementation of digital images watermarking system based on discrete Haar wavelet transform.
– Security and Communication Networks. (2019). Cited By : 58
A watermarking of medical image: Method based “LSB”.
– International Journal of Computer Science Issues (IJCSI). (2011). Cited By : 45
