worked in the Renewable Energy based E-Mobility in higher Education (REMO) project:an international collaboration between the LaRINa laboratory at ENSTAB in Tunisia, THI-INES in Germany, and Al Akhawayn University in Morocco, and funded by the DAAD.My topic was about "Towards connected e-mobility: an e-mobility platform based on IoT". Combinatorial Optimization, Machine Learning, Reinforcement Learning, Graph Neural Networks, Fleet Electrification- Developed and analyzed strategies for smart fleet management and fleet electrification. - Optimized fleet scheduling by solving Vehicle Routing Problem with Time Windows using Deep Reinforcement Learning and Graph Neural Networks.- Defined a common base knowledge and standard for data to achieve interoperability and facilitate the development of services such as trip planning service or charging points booking applications. We used ontology and OWL.

I moved to INES Research Institute in Ingolstadt for a research stay to work on machine learning technologies and e-mobility

- Conducted an in-depth literature review on liquid software and comparison between several approaches.- Proposed an OWL ontology to describe liquid software mechanisms using SWRL rules. - Designed and implemented a proof of concept cross-platform-application.

- Developed a web application to bring together communities from Coworking spaces & Fablabs in Tunisia. - Used data mining and natural language processing (NLP) methods to develop a Python module capable of improving the engagement rate and marketing strategies of Coworking spaces & Fablabs in social media platforms (Facebook and Twitter).