Throughout my geospatial engineering career, my research outputs have focused on data-driven solutions to improve resilience in communities to effectively respond to disasters. I have become a specialist in acquiring, analysing, integrating multifarious Earth Observations from a variety of ground, mobile-based and remotely-sensed instrumentation (drones, satellites), used in challenging environments (e.g. landslides, glacial lakes) to tackle societal global challenges such as water security and urban flooding.

My current research focuses on developing a water quality Digital Twin, a web-based dashboard that could ultimately provide meaningful insights to non-specialists on current and projected spatio-temporal water quality patterns, as a PI of the UK Space Agency-funded project on using space-based technology to predict and monitor blue-green algal blooms at Lough Neagh, Northern Ireland (https://eo.ncl.ac.uk/about-lough-neagh).

Recently my focus has been on collaborative research for tackling global issues related to water security (https://doi.org/10.3390/w14182907) and water quality (https://doi.org/10.3390/rs15041155) using freely-available Earth observation (EO) datasets. In parallel, collaborative research has developed a neural network model to automate glacial lake segmentation (https://doi.org/10.1016/j.isprsjprs.2022.05.007) with satellite imagery, facilitating continuous monitoring of glacial lake evolution.