Paper 'Towards a Unified Copernicus Foundation Model for Earth Vision' selected as a Best Paper Award Finalist in ICCV 2025.
Paper 'Probabilistic Machine Learning for Noisy Labels in Earth Observation' accepted for publication to Nature, Scientific Reports.
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).
Paper 'FoMo: multi-modal, multi-scale and multi-task remote sensing foundation models for forest monitoring' accepted to AAAI 2025, Artificial Intelligence for Social Impact Track.
Paper 'Kuro Siwo: 33 billion m² under the water. A global multi-temporal satellite dataset for rapid flood mapping' accepted to NeurIPS 2024, Datasets and Benchmarks Track.
Paper 'TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting' received the 'Best paper award' at the ICCV 2023 AI + HADR workshop.
Paper 'Benchmarking and scaling of deep learning models for land cover image classification' accepted for publication in ISPRS Journal of Photogrammetry and Remote Sensing.
Paper 'Hephaestus: A large scale multitask dataset towards InSAR understanding' published at the CVPR workshop EarthVision.
Paper 'Learning From Synthetic InSAR With Vision Transformers: The Case of Volcanic Unrest Detection' published in IEEE journal Transactions on Geoscience and Remote Sensing.
Research Experience
Researcher at Orion Lab, working on deep learning for Earth Observation, with a particular emphasis on foundation models.
Involved in multiple research projects, including foundation models, multi-modal, multi-scale, and multi-task remote sensing foundation models.
Acted as a research intern at Mila - Quebec AI Institute.
Joined the AI4EO Future Lab of the Technical University of Munich as a Beyond Fellow.
Participated in a tutorial at IGARSS 2023 focusing on Deep Learning for monitoring and forecasting natural hazards with earth observation data.
Education
Completing PhD under the supervision of Ioannis Papoutsis, with an expected graduation in September 2025.
Background
Artificial intelligence researcher with a focus on Deep Learning for Earth Observation. Member of the Orion Lab, a joint research group of the National Observatory of Athens and the National Technical University of Athens.