Professor Salah ZIDI is a scholar and researcher in Artificial Intelligence, with a distinguished academic and professional career spanning Tunisia, France, and Saudi Arabia. He is currently a Full Professor in Electric Engineering at the Higher Institute of Industrial Systems of Gabes (ISSIG), University of Gabes (Tunisia), where he also serves as coordinator of the Master of Research in Engineering (MRE). He also leads the Artificial Intelligence research team within the IRESCOMATH laboratory where he supervised numerous doctoral and master’s students in the fields of intelligent systems and data science.

Prof. ZIDI’s research interests encompass artificial intelligence, machine learning, deep learning, optimization, intelligent medical systems, wireless sensor networks, and document dematerialization with probative value. He has authored and co-authored scientific contributions addressing applied and theoretical challenges in AI, particularly in the domains of risk management, transport systems, and medical data analysis. His work often bridges academia and industry through collaborative projects with national and international partners.

His academic career includes teaching and research appointments at Qassim University (Saudi Arabia, 2014–2019), where he contributed to AACSB accreditation and managed quality assurance initiatives, as well as earlier positions at the University of Lille (France). He has also been an invited researcher and collaborator with institutions such as Ecole Centrale de Lille, National Engineering School of Tunis (Tunisia), and King Abdulaziz City for Science and Technology (KACST, Saudi Arabia), contributing to projects in intelligent transport, medical risk reduction, and secure information systems.

In addition to his academic activities, Prof. ZIDI has extensive experience as a consultant and trainer in Artificial Intelligence, collaborating with organizations including NEOLEDGE, ARMAGO, Archimed, and Biomediqa in France and Tunisia. These engagements have focused on the development of intelligent solutions for document management, energy optimization, healthcare systems, and industrial innovation.

He received his engineering degree and research master’s degree in Computer Science from the National School of Engineers of Sfax (ENIS, Tunisia), followed by a doctorate in Computer Science from the University of Lille (France).