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

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

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