Dr. Rammal is an Assistant Professor at the College of Arts and Sciences, Rafik Hariri University. He earned his Ph.D. in Computer Science from the University of Toulouse III – Paul Sabatier, France.

Since 2007, he has taught a wide range of Computer Science courses at several institutions, including EMAC Engineering School (École des Mines d’Albi-Carmaux, Albi, France, 2007–2010), Champollion University (Albi, France, 2007–2010), ISIS Engineering School (Informatique et Systèmes d’Information pour la Santé, Castres, France, 2007–2010), IUT Paul Sabatier (Castres, France, 2007–2010), UFR MIG, University of Paul Sabatier (Toulouse, France, 2009–2010), INSA Engineering School (Toulouse, France, 2010–2011), and several universities in Lebanon, including the Lebanese University, Faculty of Technology (2011–2022), IUL University (2011–2022), AUL University (2011–2021), Jinan University (2014–2021), AUCE University (2017–2018), MUBS University (2021–2022), and Rafik Hariri University (2022–present).

His teaching experience spans topics such as Programming, Data Structures, Algorithms, Web Development, Databases, Software Engineering, Operating Systems, Mobile Applications, and Artificial Intelligence.

Dr. Rammal’s main research interests focus on Artificial Intelligence and its applications in engineering solutions and the medical field.

.

EDUCATION

• PhD in Computer Science, University of Toulouse III – Paul Sabatier, France, 2010.
• MSc in Computer Science: Information, Interaction, Cooperation, and Web, University of Montpellier II, France, 2006.
• BSc in Applied Mathematics and Computer Science, Lebanese University, Faculty of Science (Branch I), Beirut, Lebanon, 2004.

MEMBERSHIPS

• Member of the Digital Transformation & Governance Network.

PUBLICATIONS

• Ali Rammal, Ghalia Nassreddine, Mahmoud Samad, “Cyber-Physical Infrastructure and Implementation Challenges in Sustainable Manufacturing”, Artificial General Intelligence in Sustainable and Secure Manufacturing, CRC press, 2025 (Submitted)
• Nassreddine G, Hellany A, Al-Khatib O, Rammal A, Nassereddine M. Feature Selection Technique Using Multiple Linear Regression for Accurate Electricity Demand Forecasting. Smart Energy System Research. 2025; 1(1):10003. https://doi.org/10.70322/sesr.2025.10003
• Mohamad Nassereddine, Obada Al-Khatib, Ali Rammal, Ghalia Nassreddine, “Revitalizing Lebanon's Energy Sector: A Hybrid Waste-to-Energy Solution in the Chouf District”, Proceedings of the International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2025), 16-19 October 2025, Zanzibar, Tanzania
• Ghalia Nassreddine, Obada Al-Khatib, Mohamad Nassereddine, Ali Rammal, Haile Rajamani, “A Comparative Study of Ensemble Models for Smart Grid Security Under Class Imbalance Condition”, 2025 IEEE International Conference on Energy Technologies for Future Grids, Wollongong, Australia, 7-11 December 2025.
• R. Soloh, A. Rammal, and M. El-Abed, “Brain Tumor Recognition and Classification Techniques”, ISBN: 9780443240287, Data Science in the Medical Field, Elsevier, 2024.
• Ali Rammal, Sylvie Trouilhet, Nicolas Singer, and Jean-Marie Pécatte, “Collecting and Classifying Large Scale Data to Build an Adaptive and Collective Memory: a Case Study in e-Health for a Pro-active Management”, Book title: Multi-Agent Systems, ISBN: 978-953-307-568-6, InTech publisher, chapter 20, pp 439-454, March 2011.
• Nicolas Singer, Sylvie Trouilhet, and Ali Rammal “Meta-monitoring using an adaptive agent-based system to support dependent people in place,” International Journal of Agent Technologies and Systems (IJATS), IGI Global, pp 40-52, special issue, Vol. 3, No. 1, ISSN 1943-0744, January-March 2011.
• Nicolas Singer, Sylvie Trouilhet, Ali Rammal, and Jean-Marie Pécatte, « Distributed Classification: Architecture and Cooperation Protocol in a Multi-Agent System », 4th International KES Symposium on Agents and Multi-agent Systems – Technologies and Applications, KES AMSTA  2010, LNAI 6070, Springer, part 1, pp. 341-350, Gdynia (Poland), June 2010.
• Sylvie Trouilhet, Ali Rammal, Nicolas Singer, and Jean-Marie Pécatte, « An Agent-Based System for Meta-Monitoring », The International eHealth, Telemedicine and Health ICT Forum for Education, Networking and Business, Med-e-Tel 2010, Luxembourg (Luxembourg), ISfTeH, ISSN 1998-5509, Vol. 3, 2010, pp. 534-538, April 2010.
• Ali Rammal, Sylvie Trouilhet, Nicolas Singer, and Jean-Marie Pécatte, “An Adaptive System for Home Monitoring Using a Multiagent Classification of Patterns,” International Journal of Telemedicine and Applications, vol. 2008, Hindawi Publishing Corporation, Article ID 136054, 8 pages, 2008. doi:10.1155/2008/136054.
• Sylvie Trouilhet, Nicolas Singer, Jean-Marie Pécatte, and Ali Rammal, “E-Health: from individual views to a collective one, a case study of meta-monitoring”, 2nd International Conference of E-Medical Systems, E-MEDISYS, Sfax (Tunisia), IEEE, 9 pages, electronic support, October 2008.
• Ali Rammal, Sylvie Trouilhet, “Keeping Elderly People at Home: A Multi‐agent Classification of Monitoring Data”, International Conference on Smart homes and health Telematics, ICOST2008, Iowa state (USA), Springer, LNCS 5120, pp. 145-152, July 2008.
• Ali Rammal, Nicolas Singer, Jean-Marie Pécatte et Sylvie Trouilhet, « Un outil de méta-surveillance pour le maintien à domicile », 1ère conférence internationale sur l’accessibilité et les systèmes de suppléance aux personnes en situations de handicaps, ASSISTH 2007, Toulouse (France), pp. 271-277, Novembre 2007
• Ali Larab, Ali Rammal, Sylvie Trouilhet, Jean-Marie Pécatte et Nicolas Singer, « Home health care system for dependent people: application to Alzheimer disease », The 33rd International Conference on Operational Research Applied to Health Services, Saint-Étienne (France), 5 pages, electronic support, April 2007.