DrMa'Mon Alghananim

Honorary Research Fellow

Department of Civil and Environmental Engineering - Faculty of Engineering

  • Honorary Research Fellow
    Department of Civil and Environmental Engineering - Faculty of Engineering
  • 609, Skempton Building, South Kensington Campus, United Kingdom

BIO

Dr. Mamon Saeed Alghananim is an Honorary Research Fellow in Civil and Environmental Engineering, with extensive experience across a wide range of disciplines within geospatial engineering and the Positioning, Navigation, and Timing (PNT) field. Dr. Alghananim developed the Maximum non-Bounded Difference (MnBD) method, an innovative solution that resolved a problem in overbounding error distributions that had remained unsolved for more than 20 years [1]. This method is the first to be proven effective in ensuring overbounding for various types of distributions, providing a robust framework to enhance the safety and integrity of mission-critical applications.

He also formulated a novel probability distribution, the GEV-based Gaussian distribution [2], which demonstrated superior performance compared to existing distributions (e.g., Gaussian, t, logistic, Laplace) in modeling extreme events, especially for complex datasets.

Dr. Alghananim has contributed significantly to several high-profile research projects, including the European Space Agency's INSPIRe project and the UKRI's WeWalk project.

Dr. Alghananim earned his PhD in Civil and Environmental Engineering from Imperial College London in 2022. He also holds a Master’s degree in Geospatial Engineering from the University of New South Wales (UNSW) and a Bachelor’s degree in Surveying and Geomatics Engineering from Al-Balqa Applied University, Jordan.

[1] Alghananim, M.S., Ochieng, W. Maximum non-bounded difference method for overbounding Global Navigation Satellite System errors. GPS Solutions, 29, 22 (2025). https://doi.org/10.1007/s10291-024-01772-x

[2] Alghananim, M.S., Ochieng, W.Y. A general extreme value-based Gaussian global navigation satellite systems measurement error distribution for mission-critical applications. Journal of Navigation. Published online 2025:1–14. https://doi.org/10.1017/S0373463325000165

DEGREES

  • PhD
    Imperial College London, London, United Kingdom
  • Master's Degree
    UNSW Sydney, Sydney, Australia

FACULTY

  • Faculty of Engineering

POSITION NAME

  • Honorary Research Fellow