I am a Geospatial AI Scientist who leverages satellite observations, remote sensing, machine learning, and deep learning to understand, predict, and mitigate urban infrastructure and environmental risks.
My Ph.D. research focused on identifying the key drivers of land subsidence in urban coastal environments through the integration of Earth observation, geospatial analytics, hydrogeological processes, and infrastructure data. With expertise in InSAR, machine learning, and deep learning, I developed novel spatio-temporal AI frameworks to investigate and forecast urban land subsidence by combining satellite observations with climatic, hydrogeological, and infrastructure datasets. My work advances the application of geospatial artificial intelligence and Earth observation for sustainable urban development, infrastructure resilience, and hazard mitigation.
Assist in slope stability data collection, analysis and remedial work including slope monitoring data processing, rock strength parameters, geologic structures, slope control blast designs, and slope angle reviews.
Conducted subsurface investigations, tailings dam safety, slope stability, and integration of geotechnical data with remote sensing.
Developed Python-based automation, cloud processing, and reproducible scientific workflows.
Improved hydrologic and hydraulic modeling, and conducted water quality assessment.
Performed topographic surveys to determine optimal road alignment and slope design. Translated roadway designs into field implementation through grading and leveling operations.
Supported geotechnical instruction, subsurface analysis, and guided students in the use of 3D modeling software during laboratory sessions.
Developed hands-on instruction covering the mathematical foundations of GPS observations. Guided students in the use of GPS processing and analysis software
Integrated InSAR time-series analysis with subsurface and infrastructure data to quantify deformation mechanisms in urban coastal environments.
View ProjectAutomated SAR-based monitoring of river ice dynamics via a Radiative Transfer Model in Alaska and NorthEast.
View ProjectApplied satellite deformation monitoring and water balance analysis to support geotechnical safety evaluation of mining tailings facilities.
View ProjectApplied satellite deformation monitoring and water balance analysis to support geotechnical safety evaluation of mining tailings facilities.
View ProjectInvestigates the contributions of coastal land subsidence to relative sea level rise (RSLR) in urban coastal regions of New York and New Jersey.
View PublicationDeveloped a nonlinear autoregressive model with exogenous input (NARX) to forecast rainfall using GNSS-derived precipitable water vapor (PWV) and ground rainfall data.
View PublicationFor a complete and up-to-date list of publications, see my Google Scholar profile .
A detailed academic CV including publications, teaching experience, technical expertise, and professional service is available below.
📍 Raleigh, North Carolina
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