Forschungsprojekte von M. Sc. Mohammad Omidalizarandi

  • Bayesian adaptive robust adjustment of multivariate geodetic measurement processes with data gaps and nonstationary colored noise
    This research field aims at the development of a unified robust adjustment theory and of corresponding computationally efficient expectation maximization (EM) algorithms to handle outliers, data gaps, colored noise and cross-correlations within geodetic measurement series simultaneously. Various kinds of stationary and nonstationary Gauss-Markov models are investigated (see the figure below). To include given prior information for the unknown parameters, Bayesian models and inferential techniques are also devised. Applications include the geo-referencing of a static multi-sensor system and deformation monitoring of an arch bridge.
    Leitung: Boris Kargoll, Hamza Alkhatib, Jens-André Paffenholz
    Team: Boris Kargoll, Hamza Alkhatib, Jens-André Paffenholz, Alexander Dorndorf, Mohammad Omidalizarandi
    Jahr: 2018
    Förderung: DFG
    Laufzeit: 2018-2021
  • Spatio-temporal monitoring of bridge structures using low cost sensors
    Today, reliable, accurate and cost-effective vibration analysis of aging infrastructures such as bridges has received considerable attention. In this project, the Geodetic Institute Hannover (GIH), Leibniz University Hannover, is collaborating with ALLSAT GmbH, Hannover, to develop a hardware and software low-cost multi-sensor-system (MSS) technology to reach aforementioned goal.
    Leitung: Jens-André Paffenholz , Ingo Neumann
    Team: Mohammad Omidalizarandi, Boris Kargoll
    Jahr: 2016
    Förderung: BMWi (Federal Ministry for Economic Affairs and Energy) – ZIM Kooperationsprojekt (Central Innovation Programme for SMEs)
    Laufzeit: 09/2016 – 09/2018