About
Sebastien Francois Lefevre is a Professor in Machine Learning at the Department of Physics and Technology, UiT The Arctic University of Norway, located in Tromsø. He contributes to interdisciplinary research at the intersection of artificial intelligence and geophysical sciences.
His research focuses on:
- Deep learning for environmental modeling
- Remote sensing data analysis
- Feature reduction techniques in predictive models
- Multimodal object detection systems
- Seasonal sea ice forecasting applications
Recent work explores Gaussian contrastive fusion methods for multimodal detection (2025) and feature reduction impacts in Arctic climate models (2024-2025). He collaborates within the Machine Learning Group at UiT.
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