Dionysis Christopoulos

I am currently a first-year PhD candidate at the National Technical University of Athens (NTUA), with a research focus centered on, but not limited to, Advancing Efficient Multi-Modal Representation Learning in Remote Sensing and Computer Vision. I am also a research associate at the Remote Sensing Laboratory (RSLab) of the School of Rural, Surveying and Geoinformatics Engineering, where I contribute to European and national research projects, including iToBoS — Intelligent Total Body Scanner for Early Detection of Melanoma and Pharos: The Greek AI Factory for accelerating AI innovation.

I received my BSc in Rural, Surveying and Geoinformatics Engineering from NTUA in 2022, and my MSc in Geoinformatics from NTUA in 2024, graduating with a final grade of 9.3/10. My research experience includes the design and evaluation of deep learning methods for remote sensing and medical AI, with emphasis on multi-temporal satellite image analysis, multimodal data integration, transformer-based architectures, and representation learning. I have co-authored publications in international journals and conferences, and in 2026 I had my first paper accepted to an A* conference, ICLR — hopefully the first of many!

My research interests include multi-modal representation learning, self-supervised learning, and the development of efficient and zero-shot evaluation methods that help unlock the full potential of models across Earth Observation and Computer Vision.