Do more with less: Exploring semi-supervised learning for geological image classification
Labelled datasets within geoscience can often be small, with data acquisition both costly and challenging, and their interpretation and downstream...
Environmental Changes
The world is a change planet, and both terrestrial and marine ecosystems are in flux. In our research, we mostly...
Computer Vision for Descriptive Geology
There is a fundamental challenge in geology: the discipline heavily relies on descriptive data, yet humans are often inconsistent and...
AI for Geophysics
The energy transition demands smarter, more efficient ways to assess the subsurface, and artificial intelligence (AI) is transforming how geophysical...
AI for Weather and Climate Forecasting
Machine learning and computer vision can also apply to climate and weather prediction models. Our group is actively advancing research...
Forward Stratigraphic Models
Accurately predicting subsurface behavior is essential for many energy transition technologies, from geothermal energy and carbon capture and storage (CCS)...
Earth Observation with Artificial Intelligence
Earth Observation (EO) involves the collection and analysis of data about the Earth’s physical, chemical, and biological systems using remote...
Subsurface Thermal Models and Fluid Flow
Understanding the thermal evolution and fluid flow within the Earth’s subsurface is critical to advancing the global energy transition. As...
Reefs and Carbonates
Reefs are shallow water areas where carbonate producers such as corals, coraline algae and halimeda, live. They are one of...
Deepdive Leveraging Pre-trained Deep-Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef
Understanding and preserving the deep sea ecosystems is paramount for marine conservation efforts. Automated object (deep-sea biota) classification can enable...