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 hydrocarbon seepage systems which have important environmental implications (e.g. petroleum exploration, geological storage of carbon).

I regularly take part in scientific conferences. In 2026, I will attend IGARSS and the ISPRS congress.

Universitetet i Bergen

Teaching Assistant 

• GEOV205: Geographic Information Systems - Theory and Practice

   

Université de Montréal

Teaching Assistant

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

 

Conference lecture

• Julien Vadnais; Benjamin Aubrey Robson; Christian Haug Eide (2025). On the Challenge of Oil Slick Lookalikes in SAR mapping: Transfer Learning With Limited Labels. (external link)
• 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. (external link)

Academic article

• 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. (external link)

See a complete overview of publications in Cristin.