معرفی
Imene ZAIDI is a Teacher-researcher at CESI engineering school in France, affiliated with the Engineering and Digital Tools research team. Her work bridges computer science and operational research with practical applications in sustainable transportation systems.
Her academic background includes:
- Doctorate in Optimized management of electric vehicle fleet charging from University of Haute-Alsace (2022)
- Engineering Diploma in Computer Systems from ex.INI Algiers (2018)
ZAIDI's research centers on optimization challenges in electric mobility, particularly electric vehicle charging scheduling. She develops computational approaches including heuristics, metaheuristics, and exact algorithms to address grid capacity constraints, demand satisfaction, and energy maximization in unbalanced power systems. Her work integrates operational research with real-world transportation and energy infrastructure challenges.
Analysis of her 2020-2024 publications reveals consistent focus on preemptive scheduling, computational complexity, and multi-objective optimization in electric vehicle ecosystems. The research demonstrates increasing sophistication from foundational scheduling models to grid-integrated solutions addressing three-phase power imbalances and capacity limitations.
She teaches computer science courses including Object-oriented programming, Algorithms, Databases, Embedded systems, Web development, and Information systems to engineering and bachelor's students across multiple academic levels.
The Engineering and Digital Tools research team at CESI provides the collaborative framework for her investigations into decision support systems for sustainable mobility and energy-efficient transportation solutions.
