Research Interests
My research focuses on geodesy and its applications which contribute significantly to our understanding of Earth's geophysical phenomena, ranging from its shape and gravity to tectonics, climate change, and navigation.
My research focuses on geodesy and its applications which contribute significantly to our understanding of Earth's geophysical phenomena, ranging from its shape and gravity to tectonics, climate change, and navigation.
Strain Rate and Error analysis using GNSS data
Strain Rate and Error analysis using GNSS data
The research focuses on updating the velocity field in the central and eastern United States through in-depth analysis of continuous GPS position time-series. Particularly, the study aims to improve noise estimates and identify types of noise in regions with intraplate earthquakes like the New Madrid, Oklahoma, and Eastern Tennessee seismic zones. The key question revolves around discerning strain accumulation and its pace with uncertainty in these areas. The research acknowledges the challenge of addressing GPS data analysis uncertainties, emphasizing the impact of random walk noise on strain accumulation rate estimates.
In progress
Least Square Collocation (LSC) in Earth's structure Modeling
Least Square Collocation (LSC) in Earth's structure Modeling
This study introduces an approach utilizing Least Squares Collocation (LSC) and gravity observations to map the depth spatial variability of the Mohorovičić discontinuity (Moho). The method is based on a spherical two-layer isostatic model, assuming a uniform density distribution in the Earth's core. By considering mass conservation and employing a Helmert condensation approach, the relationship between surface layer density and potential variations is established. The depth of the Moho in the Iranian Plateau is then estimated from observed data, specifically T_rr data generated by the GOCO06S model, after accounting for topography, bathymetry, and sediment effects using GEBCO2021 and CRUST1.0 models
GNSS Reflectomtery
GNSS Reflectomtery
The authors present GNSS-IR-UT, a MATLAB-based GNSS software that focuses on GNSS Interferometric Reflectometry (GNSS-IR) to estimate the absolute vertical distance from a GNSS antenna to the reflective surface using signals from GPS, GLONASS, Galileo, and BeiDou systems. This user-friendly software, equipped with a Graphic User Interface (GUI), processes signal-to-noise ratio (SNR) data from various GNSS systems (GPS, GLONASS, Galileo, BeiDou) and translates it into reflection height. Notably, the software allows users to assess different processing options and parameters for height calculation. The Least Square Harmonic Estimation (LS-HE) is employed for the first time in this software to extract the dominant frequency in the reflectometry concept.