Samuel Osah

The researcher has made significant contributions across multiple research areas. Their work focuses on enhancing positioning accuracy in physical sciences by developing deep learning models to predict IGS (Intelligence Source System) signals and evaluating the impact of interference effects using GNSS observations. In inertial sensors, they homogenized coordinates through active CORS data in Ghana. For hydrology, their studies involve modeling water budgets using GIS-based remote sensing data. Additionally, they ensured high-quality data from continuously operating reference stations to improve positioning applications globally.