Mohammad Bagherbandi, profilbild

Mohammad Bagherbandi

Professor

Research subject: Land surveying

Research area: Geospatial Information Science

+4626648419

mohammad.bagherbandi@hig.se

About the researcher

Mohammad Bagherbandi is a professor of Geomatics and Applied Geodesy in the Department of Computer and Geospatial Sciences at the University of Gävle, where he has been working since 2012. He holds a PhD in Geodesy, specializing in physical geodesy and Earth's interior modeling, from KTH Royal Institute of Technology in Stockholm in 2011. His academic background is in land surveying engineering and geodesy. Prior to his current role, he worked as a postdoctoral researcher at KTH for two years and continues to serve as a senior researcher (Docent) at KTH.

His research expertise includes precise positioning, Earth observation, infrastructure and health monitoring, Earth's gravity and gravity field changes as well as environmental monitoring using geodetic, non-geodetic (wireless sensors), and remote sensing techniques. He is also currently engaged in multidisciplinary research that integrates fields such as geodesy, geophysics and land surveying (applied geodesy). Recently, his main research interests have focused on the development and interconnection of geodesy and geophysics in environmental monitoring, vertical land motions, ice melting studies (using satellite data) and their effects on sea level changes, as well as precise positioning, deformation monitoring, and climate change-related research.

  • “Stomnät i luften (Project Adapted Network-RTK for road construction projects)” supported by Swedish Transport Administration (Trafikverket) (2019–2022).
  • Satellite monitoring of railways using InSAR (Trafikverket) (2020–2021).
  • Spatial Data Innovation a research project supported by The Swedish Agency for Economic and Regional Growth (Tillväxtverket) (2018–2021).
  • Improvement in 3D mapping and accuracy assessment using aerial photogrammetry data supported by Lars E. Lundberg’s foundation (2018–2020).
  • Cost-effective data capturing using satellite images for subsidence monitoring in urban regions supported by SWECO and J. Gust. Richert foundation (2019–2020).

This page was last updated 2024-05-15