About

I’m a researcher at Orion Lab, a joint research group of the National Observatory of Athens and the National Technical University of Athens. My work focuses on deep learning for Earth Observation, with a particular emphasis on foundation models.

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• December 12, 2025, I succefully 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.
• December 9, 2025, 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.
• 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.
• 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.
• 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.