I am a PhD candidate with a background in Geomatics and Remote Sensing.

In my current research, I develop geospatial deep learning algorithms to map marine oil slicks from satellite remote sensing, primarily SAR. Progress on this notoriously challenging task will enable new analyses of natural oil seepage systems which have important environmental implications at the basin scale (e.g. hydrocarbon migration, geological storage of carbon).

Universitetet i Bergen

Teaching Assistant 

• GEOV205: Geografiske informasjonssystem - Teori og praksis

   

Université de Montréal

Teaching Assistant

• GEO1542: Introduction to remote sensing
• GEO3015: Geographic information systems III - Project
• GEO3532: Spatial modeling
• GEO6341: Complex socio-ecological systems modeling
• GEO6343: Advanced remote sensing

Konferanseforedrag

• Julien Vadnais; Christian Haug Eide; Benjamin Aubrey Robson (2025). Advanced geomatics and machine learning to map and study spatio-temporal patterns of natural hydrocarbon seepage in the North Sea. (ekstern lenke)
• Julien Vadnais; Benjamin Aubrey Robson; Christian Haug Eide (2025). On the Challenge of Oil Slick Lookalikes in SAR mapping: Transfer Learning With Limited Labels. (ekstern lenke)

Vitenskapelig artikkel

• Julien Vadnais; Benjamin Aubrey Robson; Christian Haug Eide et al. (2025). Transfer learning between Sentinel-1 acquisition modes enhances the few-shot segmentation of natural oil slicks in the Arctic. (ekstern lenke)

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