Benjamin Ricaud

Benjamin Ricaud is an Associate Professor and Group Leader in Machine Learning at UiT The Arctic University of Norway's Department of Physics and Technology. His core affiliations include membership in the Machine Learning Group, Visual Intelligence center, and co-directorship of the Digital Technology Innovation Lab focused on Arctic-region tech startups. He also co-chairs the annual Northern Light Deep Learning conference.

Ricaud's research spans:

• Fundamental ML: Graph signal processing, explainable AI, and generative models
• Applications: Microfossil classification, medical diagnostics (retinal aging), drug analysis, and climate data interpretation
• Emerging domains: Self-supervised learning and biological data analysis using Raman spectroscopy

His recent publications (2020-2025) cluster in three domains:

• Graph ML methodologies (35%)
• Biomedical/biological applications (40%)
• Geoscience/climate informatics (25%)

with consistent focus on interpretability and real-world data challenges.

Teaching includes Image Processing (FYS-2010), Pattern Recognition (FYS-3012), and Machine Learning (FYS-2021). He leads outreach initiatives developing AI exhibits for Tromsø Science Centre.