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Dr.-Ing. Milad Asgarimehr

Dr.-Ing. Milad Asgarimehr
Haus A 17, Raum 20.02 (Büro)
14473 Potsdam

Funktion und Aufgaben:

My research is dedicated to the remote sensing of the Earth's surface and atmosphere and studying climate trends using Remote Sensing data especially from Global Navigation Satellite System (GNSS) signals. I study the Earth exploiting GNSS signals after reflection off the Earth's surface, the technique known as GNSS Reflectometry.  This includes the physics associated with bistatic radar and GNSS concepts, geophysics, data analysis, and geoinformation retrieval algorithms and Earth system modeling including those based on Artificial Intelligence. 

PI of Helmholtz AI project "AI4GNSS-R": The project AI for GNSS-R (AI4GNSSR) aims at implementing deep learning for novel remote sensing data products based on spaceborne GNSS-R measurements. These include high-quality ocean surface wind speed data, especially at extreme conditions and hurricanes, and potentially precipitation over calm oceans for the first time using GNSS signals.

Wissenschaftliche Interessen:

    Currently, my research revolves around investigating hydrological cycles and assessing the impacts of climate on forests utilizing GNSS Reflectometry. In addition to this specific focus, my general research interests encompass a broader range of topics, including:

  • Earth's atmosphere and surface
  • Climate impacts
  • GNSS Remote Sensing
  • GNSS Reflectometry
  • Methodological field of Data and Computational Science: Machine Learning, Statistical Data Analysis, Data Infrastructures and Software Engineering, Evolutionary techniques, Data Assimilation, Big data concepts

Werdegang / Ausbildung:

  • Engineering Doctorate, Technische Universität Berlin, Germany, 2020
  • Msc in Geodesy, K. N. Toosi University of Technology, Tehran, Iran, 2015
  • Bcs in Geodesy and Geomatics, University of Tafresh, Iran, 2011
  • High School Diploma in Mathematics and Physics, Tehran, Iran, 2007

Wissenschaftliche Gremien:

Chair of Global Geodetic Observing System (GGOS) Study Group "AI for GNSS Remote Sensing"


  • DAAD PRIME Fellowship 2022: Research fellowship for international mobility experience
  • Bernd Rendel Prize 2020: The Deutsche Forschungsgemeinschaft (DFG) annual award to early-career geoscientists with a university degree but as yet no doctorate. The criteria for the award include the quality and originality of research work to date.
  • Selected young scientist for the 70th Lindau Nobel Laureate Meeting: around 30-40 Nobel Laureates convene in Lindau to meet the next generation of leading scientists.
  • Geo.X PhD Fellowship: PhD fellowship supported by Geo.X, the research network for Geosciences in Berlin and Potsdam, Geo.X Young Academy call in 2016 - research grants for self-written interdisciplinary (Geo-data scientific) proposals, Potsdam, Germany.
  • Geo.X Mini Project: Mini Project Support from Geo.X, the research network for Geosciences in Berlin and Potsdam, Geo.X call in 2019 - research grants for small, interdisciplinary (Geo-data scientific), collaborative, and self-written proposals, Potsdam, Germany.
  • Best Poster Presentation Award: 6th International Colloquium on Scientific and Fundamental Aspects of GNSS / Galileo, October 2017, Valencia, Spain.
  • Top-three Presentation Award: ATMO PhD Day, July 2019, Forschungszentrum Jülich, Jülich, Germany.

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