Prof. Mohamed Hamidi is Professor of Computer Science at the Multidisciplinary Faculty of Nador, Mohammed I University, Oujda, Morocco, where he serves on the Team of Modeling and Scientific Computing. He holds expertise in speech recognition, natural language processing, deep learning, data analysis, and the integration of machine learning in materials science. Prof. Hamidi's research focuses on automatic speech recognition (ASR) systems, particularly for the Amazigh language and its dialects, as well as language and dialect identification for North African languages. His notable academic works include pioneering research on embedded speech recognition systems using low-cost devices such as Raspberry Pi, applying deep learning approaches for spoken digit recognition, and collaborative research on dialect identification systems covering multiple North African dialects including Algerian and Moroccan varieties. His work on language identification has contributed to advancing speech technologies for Arabic and Amazigh dialects and languages across the Maghreb region. Additionally, Prof. Hamidi has contributed to data analysis and machine learning applications in materials science, specifically investigating phosphate mine by-products as new cementitious binders, where machine learning techniques are employed to predict material properties and optimize composition. His interdisciplinary work bridges advanced AI technologies with both linguistic diversity and materials engineer