Imen Jarraya

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About

Imen Jarraya is a researcher at the forefront of energy management and autonomous systems, with key contributions spanning electric vehicle power systems and unmanned aerial vehicle (UAV) localization. Her most cited work, "An online state of charge estimation for Lithium-ion and supercapacitor in hybrid electric drive vehicle" (2019, 53 citations), addresses a critical challenge in hybrid electric vehicles—accurately estimating battery and supercapacitor states in real time. This research enables more efficient energy use and extends the lifespan of hybrid powertrains, directly supporting the transition to cleaner transportation. More recently, Jarraya has advanced UAV technology with her 2025 paper "OS-RFODG: Open-source ROS2 framework for outdoor UAV dataset generation" (5 citations). Recognizing that precise localization is vital for military, search-and-rescue, and environmental monitoring missions, she developed an open-source framework that generates highly synchronized, detailed datasets—overcoming a major limitation of existing UAV datasets. This work provides the research community with a valuable tool for testing and improving localization algorithms in complex outdoor environments. Jarraya’s dual focus on energy systems and autonomous navigation demonstrates her versatility and impact, bridging hardware optimization with software innovation.