Author Profile: Dr. Rachid Ejjami

Dr. Rachid Ejjami is an AI researcher, educator, and applied practitioner whose work focuses on artificial intelligence, machine learning, deep learning, and emerging digital technologies. His research and professional activities explore the application of AI across multiple sectors, including healthcare, finance, logistics, education, marketing, public administration, and energy systems, with a particular emphasis on ethical, responsible, and human-centered innovation.

Dr. Ejjami holds a Doctorate and an Executive MBA from École des Ponts Business School (Paris), as well as a Master’s degree in Science and Technology from FSTE, Morocco. He has also completed advanced professional training in Artificial Intelligence and Machine Learning at the Massachusetts Institute of Technology (MIT, USA). His academic background combines technological expertise, applied research, and strategic perspectives on digital transformation.

Professionally, Dr. Ejjami has worked as a Senior AI Modeler at Datacemia, where he contributed to the design and deployment of AI-driven solutions across a range of application domains. His work involved developing data-driven models and intelligent systems to support decision-making, operational optimization, and innovation in both public and private sector contexts. In parallel, he has served in advisory roles related to vocational education and workforce development in Morocco and has led the CAFP Institute as Director of Studies and Chief Executive Officer.

As Managing Editor and Editor-in-Chief of the Journal of Next-Generation Research 5.0 (JNGR 5.0), Dr. Ejjami is responsible for overseeing the journal’s editorial policy, peer-review processes, and publication standards. His role emphasizes academic rigor, transparency, and adherence to international best practices in scholarly publishing.

His research contributions include the proposal and exploration of several conceptual and theoretical models related to artificial intelligence, ethics, and digital transformation, such as:

  • AI and Big Data Equitable Transformation Theory (ABETT)

  • Holistic Intelligent Healthcare Theory (HIHT)

  • Ethical Artificial Intelligence Framework Theory (EAIFT)

  • AI-Enhanced Collaborative Theory (AIECT)

  • Adaptive Human–AI Synergy in Logistics (AHASL)

Dr. Ejjami has authored and co-authored numerous academic papers, case studies, and integrative literature reviews addressing topics in artificial intelligence, digital transformation, education, logistics, cybersecurity, healthcare, and marketing. He is also the author of several applied AI books intended for educational and research-training purposes.

His ongoing work advocates for responsible and inclusive AI development, with the objective of supporting sustainable innovation and strengthening the link between academic research, professional practice, and societal impact.