Journal of Artificial Intelligence and Digital Health

Pr. Raoudha Ben Djemaa is an HDR-qualified Maître de Conférences in Computer Science at ISITCom, University of Sousse, Tunisia. Her research focuses on distributed information systems, interoperability, blockchain, artificial intelligence, cybersecurity, and cloud–IoT architectures. She has authored more than 40 international publications indexed in Scopus and Web of Science, with over 350 citations and an h-index of 9. She is the President of the Master’s Program in Artificial Intelligence and Data Analysis (since 2020) and serves on several academic committees and scientific councils. Over her career, she has supervised numerous PhD and Master's theses in AI, blockchain, IoT, semantic systems, and intelligent cloud environments. Pr. Ben Djemaa collaborates with international institutions including EFREI Paris, CNAM, LIGM-CNRS, and ESIEE Paris, and participates in Erasmus+ and PHC-funded projects on AI, cybersecurity, smart contracts, and intelligent health technologies.

• Data Analysis & Recommendation Systems
• Artificial IntelligenceIoT & Cloud/Fog Computing
• Blockchain and Smart ContractsDistributed Systems & Interoperability
• Cybersecurity & Trust Management
• Semantic Web and Adaptive Systems
• Intelligent Supply Chains

1. President, Master AI & Data Analysis Program (since 2020)
2. Member, Scientific Council of ISITCom (since 2021)
3. Reviewer for Q1 journals (ESWA, ASOC, Soft Computing, PMC, etc.)
4. PhD supervisor & co-supervisor (10+ theses)
5. Member of thesis and HDR juries (Tunisia & France)
6. Participation in Erasmus+ projects (EduGAME, UPTAKERS)
7. Participation in PHC-Maghreb and PHC-Utique research projects
8. Collaborations with EFREI Paris, CNAM, LIGM, MIRACL

1. A Review on Blockchain Technology, Current Challenges, and AI-Driven Solutions. ACM Computing Surveys, 2025.
2. How innovative technologies shape the future of pharmaceutical supply chains. Computers & Industrial Engineering, 2025.
3. AI-Enhanced Blockchain for Scalable IoT-Based Supply Chain. Logistics, 2024.
4. Improved clustering-based hybrid recommendation system for personalized cloud services. Cluster Computing, 2024.
5. Monitoring and analyzing as a service for intelligent transportation. Cluster Computing, 2024.
6. Efficient IoT resource discovery based on P2P and Fog Computing. Internet of Things, 2023.
7. Smart contract distributed directory based on uniform description language. Journal of Computer Languages, 2023.
8. Approaches for adaptive cloud-of-things environments. Doctoral theses supervised, 2024.