Vision

To process geophysical datasets for detection, estimation and prediction based on statistical machine learning techniques.

What we will do

• Coherent probabilistic data assimilation of diverse geophysical data sources.
• Transfer learning, building on recent machine learning approaches reducing the need for expensive real-world measurements.
• Optimise available communication and computational resources.
• Identify effective data gathering approaches for improved decision support systems.