AI4Forest is coordinated by a distinguished team of scientists from leading French and German research institutions. Their expertise spans over climate science, remote sensing, artificial intelligence, optimization to forest ecosystem dynamics. Together, they guide the strategic direction of the project, ensuring scientific excellence and effective integration of interdisciplinary approaches for advancing forest monitoring at national and global scale.
Philippe Ciais is Research Director at LSCE, specializing in quantifying the global carbon cycle and forest–climate interactions via remote sensing.
Alexandre d'Aspremont is CNRS Research Director at ENS, focused on convex optimization and its applications in machine learning, statistics, and Earth observation.
Fabian Gieseke leads the Machine Learning & Data Engineering group at the University of Münster, developing DL methods for high-performance computing.
Sebastian Pokutta is Vice President of the Zuse Institute Berlin and Professor at TU Berlin, doing research in scalable optimization and DL algorithms for complex systems.
Cornelius Senf leads the Remote Sensing Group at TUM, advancing spaceborne monitoring techniques to map and analyze forest disturbances.