Doctoral Student
CurrentPhD in StatisticsProject title: Estimating livestock populations using Earth Observation and Machine Learning – a case study in East AfricaFirst year comprising various training modules:- Theory and applications of machine and deep learning frameworks- Time series analysis- Use of Earth Observation and GIS platforms for active and passive remote sensing; e.g. (In)SAR, optical, hyperspectral/hyperspatial data- Oceanography, cryosphere, geosphere, land trainingAcademy for PhD Training in Statistics (APTS) courses undertaken in:- Statistical Inference- Statistical ComputingLiterature review underway covering advances in:- Concepts in statistical ecology- Computer vision (segmentation, classification - i.e. for land use)- AI for data augmentation and satellite data enhancement (i.e. spatial-spectral, spatio-temporal fusion and single-image super-resolution)