Filip Dorm

PhD
Swiss Federal Technology Institute of Lausanne (EPFL)
Nightlights image analysis for humanitarian applications

As a PhD student, you will investigate the potential of deep learning models for processing and extracting information about humanitarian crisis from nightlight data and other remote sensing products. Early detection and characterization of said crisis is crucial for the operations of the International Committee of the Red Cross (ICRC), which is a partner in this project. Challenges related to the nightlight images resolution (involving the development of super-resolution methods), the early detection of the crisis in a spatiotemporal context, as well as the characterization of the different types of crisis will be at the core of the research.

Track:
Academic Track
PhD Duration:
September 1st, 2025 - August 31st, 2029
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