Michael Kampffmeyer

Michael Kampffmeyer is a Professor in the Machine Learning Group at UiT The Arctic University of Norway, specializing in algorithm development for limited labeled data scenarios and model explainability. He maintains active research collaborations with institutions including Carnegie Mellon University and the Technical University of Berlin.

His core research domains prioritize:

• Deep Learning
• Label-Efficient Learning
• Explainable AI
• Multi-Modal Learning
• Medical Image Analysis
• Remote Sensing

Prestigious recognitions include:

• UiT Young Researcher Award (2025)
• NORA Early Career Investigator Award (2024)
• NFR FRIPRO grant (2020)

He drives community engagement through organizing major academic initiatives such as the ICCV Workshop on Beyond Euclidean Learning and NORAs Research School Summer Schools on Multi-Modal Learning, demonstrating leadership in advancing next-generation machine learning methodologies.