My research interests are in the field of remote sensing and hydrological modeling, while I heavily utilize methodologies that merge soil moisture estimates retrieved from different sources to obtain a better product.
My current research aims to design improved weather index-based insurance to enhance resilience of smallholder farmers to risks posed by extreme weather and climate change. The main objective of my current research is to develop approaches to use combinations of crop models, satellite remote sensing, and in-situ imagery to help improve field-level crop yield estimation in india. This research is being conducted at Department of Mechanical, Aerospace & Civil Engineering of The University of Manchester.
Formerly, I was a PhD student at the Water Resources Laboratory of Middle East Technical University. My dissertation was focused on investigation of the impact of different rescaling techniques/approaches on the data fusion and data assimilation processes using various soil moisture products that are retrieved from different platforms (i.e., remote sensing, hydrological models, and in-situ measurements). Within my PhD work I have used different linear/nonlinear/probabilistic methodologies within data fusion scheme in order to find the optimal merging method of soil moisture products.