Here are a few events coming soon or which just happened:

• [Apr 2024] 3 exciting projects at EGU’2024: Casper Fibaek presents the PhilEO geospatial Foundation Model, Seppe Lampe discuss Fire history reconstruction by AI for climate modelling, and Kai Jeggle unveils IceCloudNet our approach to get estimates of 3D profiles of cirrus same as the now ended CALIPSO mission, from wide-extent, top-view MSG images!
• [Apr 2024] I co-organise with Nick Everard and Kirk Martinez a plenary union symposium at EGU’2024 on Advancing Measurements and Observations in the Geosciences, with keynote speakers Rosemary Morrow (SWOT mission), Remko Uijlenhoet (ground-based remote sensing techniques ), Klaus Scipal (ESA Biomass and SMOS missions), and Michael Wollersheim (ICEYE).
• [Dec 2023] At NeurIPS’2023 I co-organise a workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response (AI+HADR) and a competition on rain prediction with machine learning Weather4Cast
• [Nov 2023] On November 24th, I am glad to give a keynote talk at the Machine Vision for EO workshop of the British Machine Vision Conference (BMVC) in Aberdeen (Scotland). I discuss Next Generation AI4EO, including Geo-spatial Foundational models and Quantum Machine Learning. Javiera Castillo-Navarro also presents our joint work led by Christel Chappuis, Sylvain Lobry, and Devis Tuia on vision-language models for Earth observation digital assistant.
• [Nov 2023] On November 22 I am at Quantum Technologies in Machine Learning (QTML) hosted by CERN in Geneva (Switzerland) to give a talk on ESA’s Quantum Computing for Earth Observation activities in the Industry Panel along with Google, IBM, Intel, Pasqal, IonQ, and NASA. We present also 4 contributions on Quantum Machine Learning with students and collaborators Su-yeong Chang, Francesca De Falco, Andrea Ceschini, Alessandro Sebastianelli, and Amer Delilbasic.
• [Nov 2023] November 6-9 I will be in Vienna (AU) as co-organiser of the Big Data from Space conference (BiDS’2023). I will share session on AI4EO, and present several works on diffusion models for EO, change detection with spaceborne hyperspectral data, Physics-aware Machine Learning for weather forecast, and potential of quantum ML.
• [Oct 2023] On October 12 I organise with Gabriele Cavallaro a workshop on High-Performance and Innovative Computing for EO (HPIC) at ESA/ESRIN with supercomputers FZ Julich, CSC, CINECA, IQM Quantum Computers and ESA experts on cloud computing and platfroms for Destination Earth.
• [Oct 2023] Happy to visit TU Munich on October 9-10 for the AI4EO.de 2023 Symposium organised by Xiaoxiang Zhu to give a keynote talk on Next Generation AI4EO covering Physics-aware Machine Learning (PaML), geo-spatial Foundational models, and Quantum Machine Learning for EO.
• [Oct 2023] On October 9, I am part (as reviewer) of the committee of the PhD defence of Erwan Viala about Lateral-resolution enhancement of low-photon 3D LiDAR by Compressive Sensing at Onera, supervised by Nicolas Rivière and Laurent Risser [announce in pdf].
• [Oct 2023] On October 2-3, I co-organise the workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response (AI+HADR) at ICCV 2023 with Ritwik Gupta and friends.
• [Sept 2023] On September 27, I am part (as reviewer) of the committee for the PhD defence of Romain Loiseau about Real-World 3D Data Analysis: Toward Efficiency and Interpretability at École des ponts / IGN, supervised by Mathieu Aubry and Loïc Landrieu [note on theses.fr].
• [Sept 2023] On September 19-21, I am in Matera, IT, as part of the organising committee of ESA’s 6th Quantum Technology Conference 2023, and will share a session on Quantum Computing. Several projects I supervise such as Quantum AI for EO with CERN, Quantum Computing Study for EO with FZ Julich, and Quantum Advantage for EO with DLR will also be showcased.
• [Sept 2023] On September 8th, I will give a keynote on Next Generation Machine Learning for Earth Observation at the 3rd INRIA-DFKI Summer School on Artificial Intelligence in Nice Sophia Antipolis (FR).