Biography
Rita Zgheib is an assistant professor and coordinator of the MS in Data Analytics at the Adnan Kassar School of Business (AKSOB), specializing in artificial intelligence, data analytics and information systems. She holds a PhD in Computer Science from Université Paul Sabatier–Toulouse III in France, where her doctoral research focused on semantic technologies, the Internet of Things (IoT) and healthcare applications.
Her research spans artificial intelligence and machine learning, knowledge graphs and semantic technologies, IoT, trustworthy and explainable AI, and intelligent healthcare systems. Her recent work explores the use of AI in clinical decision support, autism spectrum disorder, hospital resource optimization and data-driven decision-making. Her research has appeared in international peer-reviewed journals and conference proceedings, including Neurocomputing, Journal of Ambient Intelligence and Humanized Computing and Information.
Dr. Zgheib brings extensive experience in teaching, research, curriculum development and academic leadership. She is particularly interested in bridging technology and business and equipping students with the analytical and AI-driven skills needed to address real-world organizational challenges and support digital transformation.
Teaching Interests
Artificial intelligence for business and management
Data analytics and business intelligence
Information systems and digital transformation
Machine learning and data-driven decision-making
Database and data management
Programming and computational thinking
Software architecture and software engineering
Emerging technologies and their business applications
Research Interests
Artificial intelligence and machine learning
AI for healthcare and clinical decision support
Explainable and trustworthy artificial intelligence
Knowledge graphs and semantic technologies
Internet of Things (IoT) and smart systems
Data analytics and intelligent decision support
Multi-agent and multi-agent reinforcement learning
Digital twins and One Health
AI-assisted education and assessment
Selected Publications
Zgheib, R., El Naggar, A., Kermani Kolankeh, A., & Takshe, A. A. (2026). Toward Trustworthy AI for Autism Spectrum Disorder: A Systematic Review of Multimodal Systems, Knowledge Representation, and Clinical Integration. Information, 17(8), 802.
Abualrous, R., Zouzou, H., Zgheib, R., Hasan, A., Hijazi, B., & Kermani, A. (2025). Fairness-Aware Intelligent Reinforcement (FAIR): An AI-Powered Hospital Scheduling Framework. Information, 16(12), 1039.
Abualrous, R. A., Zgheib, R., Mashnouq, A., Menon, P., Al Tamimi, R., & Takshe, A. (2024). Smart Air-Quality Detection Using Regression Models. 2024 15th International Conference on Information and Communication Systems (ICICS), Irbid, Jordan, 1–6. IEEE.
Zgheib, R., Kristiansen, S., Conchon, E., Plagemann, T., Goebel, V., & Bastide, R. (2023). A scalable semantic framework for IoT healthcare applications. Journal of Ambient Intelligence and Humanized Computing, 14(5), 4883–4901.
Zgheib, R., Chahbandarian, G., Kamalov, F., El Messiry, H., & Al-Gindy, A. (2023). Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19. Neurocomputing, 528, 160–177.
Zgheib, R., Conchon, E., & Bastide, R. (2016). Engineering IoT healthcare applications: Towards a semantic data driven sustainable architecture. In eHealth 360: International Summit on eHealth, Budapest, Hungary, June 14–16, 2016, Revised Selected Papers (pp. 407–418). Cham: Springer International Publishing.