bouchra sahbeni

- Development of an optimization model for the routing of shared autonomous vehicles. - Development of a forecasting model for spatiotemporal passenger demand (RNN, LSTM, Transformer-based approach). - Development of a multi-agent simulation model (MATSim). - Validation of the model for the case study of the Rouen metropolis. - Development of a clustering model tailored to the case study for origin and destination movements.

-Contribute to the development of solutions designed for Industry 4.0. -Definition of customer needs. -Writing detailed technical analyzes. -Development of an embedded system with python (Read informations from sensors/opc ua, real-time signal recovery...). -Participation in commercial acts. -Participation in the reduction of commercial offers.

Project theme: Processing and analysis of industrial data Tools used: Python, NLP, Unsupervised learning, Machine learning, Deep learning, A priori rules Realisation: Automatic detection of false alarms in industrial equipment.

Project theme: LoRaWAN network and End-to-End communication of industrial data Tools used: LoRa protocol, End-to-End communication, Web development (HTML, PHP, CSS), HTTP communication. Realisation: Deployment and configuration of a LoRaWAN network with real-time transmission of information provided by the sensors to a developped web application.

Project theme: Observation of the operational activities of a Telecom operator.