Reda EL MADANI

Seabed Type Prediction from Acoustic Point Cloud Data - Adapted and implemented a 4D preprocessing pipeline for raw unstructured data. - Conducted literature review and gained expertise in PointNet and PointNet++ architectures for semantic segmentation. - Performed statistical analysis of acoustic data and prepared training datasets to optimize model learning. - Trained, fine-tuned, and evaluated models using quantitative metrics and visualizations. - Validated two benchmark architectures, establishing a foundation for future research on acoustic point clouds.

Key Achievements: - Developed a wireless control system for emergency and stop buttons, eliminating the need for frequent rewiring. - Built "ProdControl Flex" using ESP-01S and ESP D1 Mini modules, enabling remote control and significantly reducing downtime and costs. - Acquired practical experience with ESP8266, Arduino, and real-world industrial applications.

During this internship, I had the opportunity to: - Visit the different services of the airport, such as the meteorological service, the aerodrome technical service, the operations service, etc. This allowed me to have a global vision of the functioning and organization of the airport. - Study the different equipment used to ensure the safety and accuracy of air navigation, such as VHF transmitters, on-board receivers, antennas, etc. - Analyse the signal transmission chain between the different radionavigation rooms, understanding the protocols and procedures used to ensure smooth and efficient communication between pilots and air traffic controllers.