AI and Digital Transformation: Innovations in Supply Chain, Education, and Energy Systems

Brahim EL BHIRI is a professor of Telecommunication and embedded systems at the Moroccan School of Engineering Sciences (EMSI: Ecole Marocaine des Sciences de l’Ingenieur). He is the director of R&D&I at the same school and the head of SMARTiLab Laboratory of research, development and Innovation. He has over 12 years of experience in the field of electronics, wireless sensor networks, data processing and embedded system. He has published more than thirty papers in international scientific journals and International conferences. He is author of 5 books and 22 book chapters, published by leading international publisher like Springer… He has received a number of awards, one of them a best paper award from Italy at the seventh SENSORCOMM’2013 International Conference. In addition, he is a co-editor of three SI published by very known publisher. Pr. Brahim EL BHIRI is a reviewer at more than five scientific journals and researcher and deputy project manager of several projects and he is a member of several TPC for lot of national and international conferences. He received more than twenty special prices in innovation from all regions of the word for his innovative projects. Indeed, he received a gold medals in ISIF’2019 (Istanbul, Turkey), in INTARG (Katowice, Poland), GENOVA( Geneva Switzerland), iCAN2019-2022 (Toronto, Canada), ITE2019-2022 ( London, England), SVLI (silicon Valley, USA).

• Section I: AI in Supply Chain and Logistics.- 1. A Comparative Study of HBOS and Isolation Forest Anomaly Detection Models: An Experimental Analysis.- 2. Recurrent Neural Models for Retail Supply Chain Stock Prices Forecasting.- 3. The Trend of Integration of Artificial Intelligence in Supply Chain: A Bibliometric Review.- 4. Artificial Intelligence Approach for Enhancing Vehicle Routing Problem Solutions Integrating Smart Lockers for Dynamic Delivery and Pickup Operations.- 5. Understanding Customer Experiences in the Logistics Sector: Insights from Individual Cargo Companies.- Section II: Digital Transformation in Education and Industry.- 6. Towards a Pedagogical Revolution: Intelligent Learning Systems in the Service of Higher Education.- 7. Preparing for Industry 5.0: Inclusive Curricular Approaches and Digital Empowerment.- 8. Production Leveling Implementation Methodologies: Comparison and Review.- 9. Enhancing Candidate Evaluation in Recruitment Interviews Based on ResNeXt-101 for Facial Expression Recognition Section III: AI and Machine Learning Applications.- 10. Bayesian Deep Learning for Multi-Disease Detection in Retinal Imaging with Uncertainty Quantification.