Donia AMAMI is an embedded system engineer, she earned a bachelor's degree in electrical and automation engineering, followed by a research Masters in the field of Intelligent Systems and Renewable Energy from the National Engineering School of Gabes, Tunisia, in 2019 and 2021 respectively.
For her master’s thesis she worked on the path planning for automated guided vehicles indoor in the presence of dynamic obstacles. She is currently working towards her PhD degree in Electrical-Automatic with the Research Laboratory of Numerical Control of Industrial Processes (CONPRI) at the National Engineering School of Gabes, Tunisia.
In parallel, she is working as an embedded software engineer for Renault Group, she has been involved in sensors data fusion development in Advanced Driver Assistance Systems (ADAS) department for Renault 4th level autonomous driving.
She is also is an active IEEE member with various and appreciated volunteering.