66 / 100 SEO Score

Prof. Abderrazak Jemai | IoT Monitoring | Best Faculty Award 

Prof. Abderrazak Jemai | IoT Monitoring | National Institute of Applied Science and Technology | Tunisia

Prof. Abderrazak Jemai, Full Professor of Computer Science at INSAT, University of Carthage, and Senior Researcher at SERCOM Laboratory, EPT, UCAR, Tunisia, is a distinguished researcher and educator with extensive expertise in embedded systems, cloud computing, cybersecurity, and the Internet of Things (IoT). He holds a Ph.D. in Computer Science from the National Polytechnic Institute of Grenoble, France, with a thesis on parallel architecture and RISC processors for artificial intelligence programs, and a Habilitation Degree in Computer Science from INSAT/Carthage University focused on the design, security, and performance of MPSoC systems. Prof. Abderrazak Jemai professional experience spans decades, including his current role as Full Professor at INSAT, previous leadership positions such as General Director of the National Center of Informatics, Head of the Computer Science and Mathematics Department, and advisory roles to the Tunisian Ministry of Science and Technology. His teaching expertise encompasses modules on Industry 4.0, IoT, Unix/Linux, Java programming, and cybersecurity, mentoring numerous master’s and doctoral students while shaping national curricula in computer science. His scholarly contributions are substantial, with 127 publications and over 1,450 citations, and include highly cited works on deep learning-based classification of left ventricle segments, 15 index, particle swarm optimization, IoT intrusion detection, and membership inference attacks.

Professional Profile: ORCID | Scopus | Google Scholar

Selected Publications

  1. Deep Learning-Based Algorithm for the Classification of Left Ventricle Segments by Hypertrophy Severity — 2025

  2. A Two-Level Particle Swarm Optimization: Profiling and Software/Hardware Implementation — 2025

  3. An Intrusion Detection System Based on HiTar-2024 Dataset Generation from LOG Files for Smart Industrial Internet-of-Things Environment — 2025 (Citations: 1)

  4. Assessment of Data Augmentation, Dropout with L2 Regularization and Differential Privacy Against Membership Inference Attacks — 2024 (Citations: 8)

Prof. Abderrazak Jemai | IoT Monitoring | Best Faculty Award

You May Also Like