Mohammed Erritali, XLIM Laboratory, University of Poitiers, France

Mohammed Erritali is an Associate Professor and researcher in Computer Science and Artificial Intelligence from Morocco and is affiliated with XLIM Laboratory, University of Poitiers, France. His research focuses on Artificial Intelligence, Machine Learning, Deep Learning, Explainable Artificial Intelligence (XAI), Educational Data Mining, and intelligent decision-support systems. His research interests include predictive modeling, learning analytics, student success prediction, early warning systems, educational inequalities, and trustworthy and explainable AI. He has also worked on AI applications in areas including natural language processing, recommender systems, social media analysis, and data-driven decision-making. Dr. Erritali has authored and co-authored research papers in international journals and conferences and has contributed to scientific and editorial activities in the field of Artificial Intelligence. He has served as an editor for Springer-published conference proceedings in the Lecture Notes in Networks and Systems (LNNS) series. His recent research increasingly focuses on combining machine learning with explainability and generative AI to develop transparent, reliable, and practical intelligent systems.

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