News Archive
2026
August 19, 2026 Our paper Bridging the weather and climate divide with artificial intelligence has been accepted for publication to Nature Communications.
July 31, 2026 Co-organizing the 2nd Workshop on Advances in Representation Learning for Earth Observation at NeurIPS 2026, Paris.
June 29, 2026 I presented our work “From coordinates to context” at the UN World Food Programme workshop “Turning Models into Action: Advances in Modelling for Food Security and Humanitarian Response”
February 11, 2026 Our project Triton, was selected in the Global Top 100 AI projects list for 2025 of the International Research Center on Artificial Intelligence under the auspices of UNESCO.
2025
December 12, 2025 I successfully defended my PhD thesis on “Multimodal self-supervised learning for Earth observation”.
October 19, 2025 Our paper Towards a Unified Copernicus Foundation Model for Earth Vision was selected as a Best Paper Award Finalist in ICCV 2025.
September 10, 2025 Our paper Probabilistic Machine Learning for Noisy Labels in Earth Observation has been accepted for publication to Nature, Scientific Reports.
July 25, 2025 Two papers accepted to ICCV 2025. On the Generalization of Representation Uncertainty in Earth Observation, joint work with Spyros Kondylatos and Towards a Unified Copernicus Foundation Model for Earth Vision (oral) led by Yi Wang.
February 18, 2025 I’ll be a member of the scientific Committee for ESA-NASA International Workshop on AI Foundation Model for EO.
2024
December 9, 2024 Our paper FoMo: multi-modal, multi-scale and multi-task remote sensing foundation models for forest monitoring has been accepted to AAAI 2025, Artificial Intelligence for Social Impact Track.
September 26, 2024 Our paper Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping has been accepted to NeurIPS 2024, Datasets and Benchmarks Track.
March 27, 2024 Our paper FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models has been made available on arXiv.
March 16, 2024 We have been selected as one of the Idea Track winners in EUSPA - EU Agency for the Space Programme Cassini Challenges with our idea manteo.
2023
November 18, 2023 Our paper Kuro Siwo: A global multi-temporal SAR dataset for rapid flood mapping has been made available on arXiv.
October 3, 2023 We have received the “Best paper award” at the ICCV 2023 AI + HADR workshop for our work TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting.
August 21, 2023 Our work TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting will be presented at the ICCV 2023 AI + HADR workshop.
July 16, 2023 Orion Lab is holding a tutorial in IGARSS 2023 focusing on Deep Learning for monitoring and forecasting natural hazards with earth observation data.
July 1, 2023 I’ll be acting as a Programme Committee for the 32nd International Conference on Artificial Neural Networks (ICANN).
May 4, 2023 Our project Pluto has been selected for the International Research Center on Artificial Intelligence under the auspices of UNESCO Global Top 100 list 2022-23.
April 1, 2023 I’ll be joining Mila - Quebec AI Institute as a research intern for the next 8 months.
2022
November 18, 2022 Our work Benchmarking and scaling of deep learning models for land cover image classification has been accepted for publication in ISPRS Journal of Photogrammetry and Remote Sensing.
September 1, 2022 I join the AI4EO Future Lab of the Technical University of Munich as a Beyond Fellow.
June 19, 2022 Our work Hephaestus: A large scale multitask dataset towards InSAR understanding has been published at the Computer Vision and Pattern Recognition (CVPR) workshop EarthVision.
June 8, 2022 Our paper Learning From Synthetic InSAR With Vision Transformers: The Case of Volcanic Unrest Detection has been published in IEEE journal Transactions on Geoscience and Remote Sensing.
2021
August 19, 2021 Our paper Self-Supervised Contrastive Learning for Volcanic Unrest Detection has been published in IEEE journal Geoscience and Remote Sensing Letters.
January 1, 2021 I join the Orion Lab of the National Observatory of Athens as a PhD candidate.