I am an Assistant Professor at Kimbell School of Geosciences and the primary investigator of the "Remote Sensing and Modeling" Lab at Midwestern State University. As a researcher, I describe myself as a modeler and remote sensing expert with both hydrogeology and terrestrial carbon cycle background. I love coding and am passionate about research. I apply a diversity of approaches for the characterization of complex environmental systems. I perform intensive research and analyzed information about the complex hydrogeological behavior of aquifers including heterogeneity, uncertainty, connectivity, flow, and transport processes. I am very enthusiastic to see the data assimilation approach I developed in collaboration with other colleagues from Western Sydney University Australia being applied to other plant manipulative experiments to untangle the impacts of all physiological and biochemical processes on plant growth due to various environmental changes. This would help us to understand how forest ecosystems respond to climate change and human activities. I am also interested to understand the response of the carbon cycle and terrestrial ecosystems to climate and environmental changes. In a recent project, I use data assimilation methods to constrain global carbon cycle sink projections and model carbon-climate feedback. I am also performing geospatial modeling using both satellite and airborne remote sensing data to understand topographic and environmental drivers of vegetation distribution. I plan to use unmanned aircraft system (UAS) remote sensing data to map earth surface features to characterize its properties or understand the changes in ecosystems, hydrology, forestry, and so on. The work would address scientific questions using remote sensing data targeting the dynamics of earth systems due to unexpected disturbances or gradual changes. Moreover, I focus on solving various challenges in remote sensing data by applying stochastic image analysis and geostatistical methods.