In
2007, Rola El Osta earned a Master's degree in Engineering of Communication
Networks from the Lebanese University and Saint-Joseph University in Lebanon.
She also received the Ph.D. degree in Automatic and Applied Computer from the
University of Nantes, France in 2017. Her doctoral research was dedicated to
addressing a critical scheduling problem in hard real-time systems, with a
specific focus on energy harvesting considerations, commonly known as
autonomous real-time systems.
Throughout
her research, she developed innovative approaches aimed at minimizing aperiodic
responsiveness while ensuring the schedulability of periodic tasks in dynamic
priority systems. These proposed solutions underwent extensive evaluation
through experimental studies, enabling a comprehensive investigation into the
performance of new aperiodic task servers.
Currently, she is an Assistant Professor at Saint-Joseph University while also serving as an Assistant Professor at the Lebanese University. Over the course of her career, she has accumulated valuable teaching experience, delivering a diverse range of courses, tutorials, and laboratory sessions to students of varying class sizes. Additionally, she has supervised laboratories, provided academic advising, and mentored students in their Master's theses and Final Year Projects (FYP). One of the projects under her supervision received the second-place award at the 2021 IEEE Lebanon Biomedical Student Competition (LBSC 2021), which was organized by the IEEE Engineering in Medicine and Biology Society Lebanon Chapter.
Research Interest:
In her current role as an Assistant Professor at the Lebanese University, Faculty of Technology, she conducts her research at the Laboratory of Embedded and Networked Systems (LENS) and collaborates with the Laboratoire des Sciences du Numérique de Nantes (LS2N). Her research interests revolve around scheduling, fault-tolerance, and power management for real-time systems, with a strong emphasis on energy harvesting systems. As her research horizons expand, she has recently delved into subjects such as generative AI machine learning and Machine Learning (ML)-based Image-to-Graph pipelines. Currently, she is co-supervising Master's students in these areas in collaboration with Louisiana University.
List of publications:
Book
Referenced journal
International Conferences:
National Conferences:
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