Research areas include Data Science, Machine Learning, Deep Learning, Domain Adaptation, Few-Shot Learning, Meta-Learning, Self-Supervised Learning, Remote Sensing, Biomedical Image Analysis, Information Theory and Data Compression.

Current projects include Self-Supervised Learning for Large-Scale Mapping via Remote Sensing, Domain Adaptation via Unsupervised Image-to-Image Translation for Biomedical Image Segmentation, Visual Open Set Recognition and Few-Shot Segmentation by Meta-Learning.

Please visit the PATREO web page for more information about these projects.