Majeed Mohammadi

Dr. Majeed Mohammadi is a Visiting Professor at the Faculty of Science, Department of Artificial Intelligence at Vrije Universiteit Amsterdam. He also holds visiting fellow roles at the Network Institute and Artificial Intelligence research groups within the same university. His research focuses on Explainable AI, feature selection, decision analysis, and sustainable urban mobility. Key methodologies include the Analytic Hierarchy Process, Quadratic Programming, and Game Theory applications.

His recent work bridges transportation systems and AI through stakeholder engagement frameworks. He has published on causal explanation techniques (CAGE), high-order feature interaction detection, and fallacies in group decision-making processes. Collaborations span international teams addressing interdisciplinary challenges in AI explainability and decision science.

His academic contributions include peer-reviewed articles in journals like Group Decision and Negotiation and conferences such as AAAI. Research outputs emphasize both theoretical advancements (e.g., Möbius representation algorithms) and practical applications in urban mobility and feature engineering.