Students
| Student | Department | Topic area | PhD project title |
| Matt Allen |
Dept of Geography |
Ecology, remote sensing |
Automated tree species classification from forest terrestrial laser scanning data |
| Madeline Lisaius | Dept of Computer Science and Technology | Machine learning for remote sensing | Self-supervised learning approaches in earth observation leveraging physical knowledge about the Interaction of electro-magnetic radiation with vegetation canopies as applied to agriculture (Partner Mantle Labs). |
| Joycelyn Longdon | Dept of Computer Science and Technology, | Deforestation and forest management | Monitoring Ghanaian forests with bioacoustics, machine learning and indigenous knowledge. – Partner BTO |
| Ruari Marshall-Hawkes | Department of Zoology | Acoustic monitoring | Quantifying the Biodiversity Impact of Land Management Practices using Bioacoustics and Machine Learning |
| Simon Mathis | Dept of Computer Science and Technology | Ecosystems | Understanding the cold adaptation of life at the protein and cellular level |
| Jonathan Roberts | Dept of Engineering | Environmental land-cover classification | Computer vision, ‘few-shot’ learning, remote sensing, large-scale, multimodal model, land cover, unsupervised domain adaptation. |
| Sofija Stefanović | Dept of Computer Science and Technology | Pollution, water access, soil health | Sensing the water where green tech grows |