Khadija SlimaniKhadija Slimani completed her Ph.D., which was jointly supervised by the University of Ibn Tofail in Morocco and the University of Technology of Belfort Montbeliard (UTBM) in France. This collaborative international effort showcased her commitment toacademic excellence and cross-cultural research. During her doctoral studies, Dr. Slimani delved into the realms of machine learning, deep learning, pattern recognition, and computer vision, with a specific focus on academic emotion recognition. This interdisciplinary approach, spanning both Moroccan and French academic environments, enriched her research experience and contributed to the global perspective of her work. After completing her Ph.D. thesis, Dr. Slimani pursued a postdoctoral position at the University of Poitiers, France, demonstrating her versatility in research by delving into Objects DRI (Detection, Recognition, and Identification). Her application of AI methodologies aimed at enhancing video content filtering for optimal security reflected the international scope of her expertise. Dr. Slimani's academic contributions extended to various engineering schools in Paris, France, where she took on teaching responsibilities across multiple modules, including data science, deep learning, machine Learning, data bases, and computer vision. Currently holding the esteemed title of Associate Professor at the Graduate School of Automatic Electronic Computing in Paris, France. Her scholarly achievements include over 18 published articles in esteemed journals and conferences, supported by an impressive h-index of 10 in Scopus. Notably, she played a key role as a guest editor for the special issue “Integrating Intelligence: Advancements in Applied Research with Smart Technologies” in the Journal of Autonomous Intelligence (eISSN: 2630-5046) and served as a guest editor for the proceedings published in E3S Web of Conference 2022 and 2023, both Scopus/web of science indexed. Through her diverse roles, Dr. Slimani consistently inspires and contributes to shaping the next generation of researchers. Read More Read Less