Nikolaos Ioannis Bountos
Scholar

Nikolaos Ioannis Bountos

Google Scholar ID: XFUe1WQAAAAJ
National Observatory of Athens & National Technical University of Athens
Artificial IntelligenceComputer VisionMachine LearningEarth Observation
Citations & Impact
All-time
Citations
250
 
H-index
8
 
i10-index
7
 
Publications
15
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • 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.