Mohamed Amir Omezzine is a Ph.D. candidate in Information Systems at Grenoble Ecole de Management, where he is also teaching courses in Information Systems and Business Analytics. He graduated with a BBA double major in Information Systems and Economics from the University of Wisconsin Oshkosh and holds a Master of Science in Data Analytics Engineering from George Mason University.
He began his career as a data analyst at the startup Vibeffect in Washington, D.C., before joining the University of Nizwa in Oman as a lecturer in the College of Economics, Management, and Information Systems. There, he taught courses in Information Systems.
At Grenoble Ecole de Management, his doctoral research explores the cognitive and learning implications of digital technologies, with a particular focus on adaptive learning systems, cognitive load, flow, and the impact of generative AI on learning processes. His work spans experimental and systematic approaches, with ongoing projects examining how AI-based personalization and feedback influence engagement and performance in educational contexts.
He teaches in the areas of Information Systems and Business Analytics, with research interests at the intersection of digital technologies, human cognition, and educational outcomes.