Moussa Amrani

Moussa Amrani is a researcher with expertise in Model-Driven Engineering, Artificial Intelligence, and Database Performance Testing. His work contributes to the United Nations Sustainable Development Goals, particularly in advancing technological innovation and systems modeling. He collaborates with scholars like P.-Y. Schobbens and participates in projects such as CoTu: Erasmus+ICM for Higher Education Mobility and THCS: Testing Highly-configurable Systems.

His research interests span Model Federation, UAV Coordination, and Machine Learning Applications in Databases. Recent publications highlight trends in federative model management, autonomous drone control in dynamic environments, and enhancing reproducibility in database testing. These works reflect interdisciplinary efforts bridging Computer Science, Cyber-Physical Systems, and Software Engineering.

• Collaborations: Active in international research groups (e.g., VeriLearn, MPM4CPS) with focus on AI verification and model-driven approaches.
• Research Themes: Model transformations, configurability in systems, and real-time coordination mechanisms.