Information
📚 Organization | Télécom Paris & ENS Paris-Saclay |
📆 Period @ ESA Φ-lab | April - September, 2026 |
🌍 Project @ ESA CIN | ⚠️ Project is ongoing - Dynamic Multi-Task AI Geospatial Foundation Model on Φsat-2 |
📍 GitHub | |
🔨 Linkedin |
Bio
Clément Gilli is a final-year student at Télécom Paris and the MVA Master’s degree (ENS Paris-Saclay), specializing in Computer Vision and Signal Processing. With a strong interest in the space sector and Earth Observation, he focuses on applying his technical expertise to these fields, aiming to contribute to projects with a positive societal impact.
Current Role
Currently, he serves as a Visiting Researcher at the ESA, contributing to the Φ-sat-2 mission. In this role, he addresses the domain gap between simulated training data and real in-orbit imagery, analyzing discrepancies across spectral, radiometric, and geometric properties that degrade model performance. His primary focus is to bridge this gap by implementing adaptation strategies and designing dynamic architectures that remain efficient and robust within the strict hardware constraints of the Myriad-2 VPU.
Areas of Expertise
Through his academic background and various projects, he has developed a solid foundation in Computer Vision, Signal Processing, and Deep Learning. He is now channeling these technical skills into Remote Sensing, a field where he applies his expertise to the challenges of Earth Observation. This background supports the ESA Φ-lab CIN by bringing a rigorous approach to the implementation and optimization of AI models for the Φ-sat-2 mission.
Vision for the Future
He sees onboard AI as a step for the next generation of satellites. He believes that processing data directly in orbit is the key to overcoming communication bottlenecks and delivering actionable insights in real time. His goal is to develop robust, hardware-efficient algorithms that allow space missions to detect and react instantly to critical environmental events.
Project as CIN Researcher
Coming Soon