My main research interests revolve around signal processing for remote sensing and geospatial applications, with a particular focus on SAR processing. More specifically these include inverse imaging problems, compressive sampling, machine learning and generative AI methods for inverse problems, object/target detection, superpixel segmentation and classification, statistical modelling, anomaly detection and multimodal image fusion.  

My current research focuses on the use of diffusion models for compressive SAR imaging, as well as on ship and ship wake detection and classification in SAR images for maritime monitoring applications. Prior projects have included work on InSAR for volcano deformation monitoring, river segmentation, mapping, and analysis from SAR imagery, as well as applications of compressive sampling to biomedical imaging modalities.