(+961) 1 421 000 ext rola.osta@usj.edu.lb
Rola El Osta received her Master's degree in Engineering of Communication
Networks from the Lebanese University and Saint-Joseph University in Lebanon in
2007. She also earned her Ph.D. in Automatic and Applied Computer from the
University of Nantes, France in 2017.
Currently, she
serves as an assistant professor at the Faculty of Technology at the Lebanese
University, where she conducts her research at LENS (Laboratory of Embedded and
Networked Systems). She collaborates with LS2N (Laboratoire des Sciences du
Numérique de Nantes) and Louisiana State University.
While her
primary research interests encompass scheduling, fault-tolerance, and power
management for real-time systems, with a specific focus on energy harvesting
systems, her current research interests have expanded to include the
application of artificial intelligence in various fields such as climate
change, biomedicine, and hurricane prediction.
• PhD in Automatic and Applied Computer
• Master Réseaux de Télécommunications
Faculty of Science- Data science department
Engineering and Technology, Sciences
The research themes of Rola El Osta focus on several key areas. She explores scheduling, fault tolerance, and energy management for real-time systems, with particular attention to energy recovery systems. Additionally, she extends her interests to the application of artificial intelligence in various sectors such as climate change, biomedicine, and hurricane prediction. These themes demonstrate her diverse expertise and commitment to exploring interdisciplinary areas to contribute to research and solve contemporary problems.
El Osta, R., Sajeevan , A. . and Nader, N. (2024)
“CLIMATE CHANGE ANALYSIS USING EARTH’S SURFACE TEMPERATURE: HIERARCHICAL TIME
SERIES ”, International Journal of Data Science and Advanced Analytics,
6(6), pp. 321–342. doi:10.69511/ijdsaa.v6i6.234
Abbas I, Shaar A, El
Osta R. The pathway for achieving sustainable aviation fuel
production in the Middle East and North Africa region. Environ Prog
Sustainable Energy. 2024; 43(3):e14395. doi:10.1002/ep.14395
M. Chetto and R. El Osta. Earliest Deadline
First Scheduling for Real-Time Computing in Sustainable Sensors. Sustainability 2023, 15(5),
3972. https://doi.org/10.3390/su15053972
M. Chetto
and R. El Osta. How to provide fault-tolerance
capabilities to energy-autonomous sensor systems with real-time
constraints? The 22nd World Congress of the
International Federation of Automatic Control (IFAC World Congress 2023),
IFAC, 9-14 July 2023, Yokohama, Japan.
R. El Osta, M. Chetto and H. El Ghor.
Optimal Slack Stealing Servicing for Real-Time Energy Harvesting Systems.
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