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Mohsen Guizani Full Professor, Machine Learning, Mohamed bin Zayed University of Artificial Intelligence. Professor of Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE. He received his B.S., M.S., and Ph.D. degrees in Electrical and Computer Engineering from Syracuse University in 1984, 1986, 1987, and 1990, respectively. Board member for leading international journals. international researchers in the fields of AI-enabled communications, IoT, and next-generation wireless networks. networking technologies.
Ammar Kouki Professor in the Department of Electrical and Computer Engineering at Concordia University, Montreal, Canada. He received his Ph.D. in Electrical Engineering and has built a distinguished academic and research career in Canada, focusing on advanced topics in telecommunications and signal processing. He has also been actively involved in graduate supervision, research leadership, and international collaborations.
Farid Meziane Professor of Computer Science at the University of Derby, United Kingdom, where he is actively involved in teaching, research, and academic leadership. He holds a Ph.D. in Computer Science and has an established academic career focusing on intelligent systems and data-driven technologies. He has contributed significantly to both theoretical and applied research in computing, with a strong emphasis on real-world applications.
Riad Mokadem is currently an Associate Professor (Hors Classe), accredited to supervise researchs (HDR), in Computer Science at Université de Toulouse and a member of the IRIT laboratory within the PYRAMIDE team since September 2007. He is also co-responsible for the SID (Science et Ingénierie des Données) master’s degree.His main research interests are query optimization in large-scale distributed environments, data replication and database performance.
Zoubeir Lafhaj Professor of Civil Engineering and Sustainable Construction at IMT Nord Europe (Institut Mines-Télécom), France, where he is also involved in research leadership and graduate supervision. He holds a Ph.D. in Civil Engineering and has developed a strong academic and industrial-oriented career focusing on sustainable construction, circular economy, and innovative building materials. He has contributed to several European and international research projects in collaboration with academia and industry.
Larbi Talbi Full Professor in the Department of Computer Science and Engineering at the Université du Québec en Outaouais (UQO), Canada. He is also affiliated with the LRTCS Laboratory. He received his M.S. and Ph.D. degrees in Electrical Engineering from Laval University, Canada. Following his doctoral studies, he completed a postdoctoral fellowship at INRS-Telecommunications (Montreal), where he contributed to research projects in personal communication systems.
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