Mostafa Kiani Shahvandi

Affiliations, Address, Contacts

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HPV G-51

Robert-Gnehm-Weg 15

Zürich 8093, Switzerland

Hello! Welcome to my website! I am a geoscientist passionate about the Earth dynamics. I develop and implement mathematical tools to investigate geodetic and geophysical problems. Topics of interest include machine learning, Earth rotation variations, Earth system modelling (climate, atmosphere, ocean, mantle and core), and geophysical fluid dynamics. I am currently a PhD student at ETH Zürich.

You can look at the full list of my publications on my Google Scholar, Researchgate, and ORCID profiles.

news

Jul 17, 2024 I am happy to say that my paper on length of day variations caused by the ongoing climate change is published online in the journal PNAS. Have a look here https://doi.org/10.1073/pnas.2406930121.
Jul 17, 2024 I am happy to say that my paper is published online in the journal Nature Geoscience. Have a look here https://doi.org/10.1038/s41561-024-01478-2.
Jun 27, 2024 I am happy that I successfully completed my research stay at Department of Earth Sciences, University of Cambridge. I am back in Zurich and will continue my research on machine learning!
Jan 15, 2024 I am happy to share that I will be leading the International Association of Geodesy Joint Study Group T.29: Machine learning in geodesy. This position will start since 2024 and together with my colleague Lotfi Massarweh from the Delft University of Technology.
Jan 15, 2024 I am excited to announce that I have started my 6-month visit to the University of Cambridge since January 1, 2024. I will be working on Earth rotation using machine learning.

latest posts

Jul 12, 2023 a post with bibliography
Jul 4, 2023 a post with jupyter notebook
May 12, 2023 a post with custom blockquotes

selected publications

2023

  1. JGR: Solid Earth
    Geophysically‐informed machine learning for improving rapid estimation and short‐term prediction of Earth orientation parameters
    M. Kiani Shahvandi, R. Dill, H. Dobslaw, and 5 more authors
    Journal of Geophysical Research: Solid Earth, Sep 2023
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  2. GJI
    Deep ensemble geophysics-informed neural networks for the prediction of celestial pole offsets
    M. Kiani Shahvandi, S. Belda, M. Karbon, and 2 more authors
    Geophysical Journal International, Nov 2023
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  3. J. Geod
    Ultra-short-term prediction of LOD using LSTM neural networks
    J. Gou, M. Kiani Shahvandi, R. Hohensinn, and 1 more author
    Journal of Geodesy, May 2023
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2022

  1. JGR: Solid Earth
    Neural ODE differential learning and its application in polar motion prediction
    M. Kiani Shahvandi, M. Schartner, and B. Soja
    Journal of Geophysical Research: Solid Earth, Nov 2022
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  2. Adv. in. Spac. Res
    Inclusion of data uncertainty in machine learning and its application in geodetic data science, with case studies for the prediction of Earth orientation parameters and GNSS station coordinate time series
    M. Kiani Shahvandi, and B. Soja
    Advances in Space Research, Aug 2022
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