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Technical University of Munich

Prof. Dr. -Ing. habil. Xiaoxiang Zhu

Tel:+49-89-289-22659
Fax:+49-89-289-23202
Room:1789
E-mail:xiaoxiang.zhu[at]tum.de
More information:Google Scholar

 

Curriculum Vitae

  • Since 06.2020, Board of Directors, Munich Data Science Institute (MDSI), TUM
  • Since 05.2020, PI and Director, International AI Future Lab – AI4EO
  • 2019 - 2022, Spokesperson, Helmholtz AI – Research Field “Aeronautics, Space and Transport” (MASTr)
  • Since 01.2019, Steering Board, Munich Data Science Research School (MUDS)
  • 2018 - 2022, Founding Head of Department "EO Data Science", DLR-IMF
  • 2016 - 2021, Member, Leopodina - Nationale Akademie der Wissenschaften/Junge Akademie
  • 2016 - 2019, Member, Junges Kolleg der Bayerischen Akademie der Wissenschaften
  • Since 2015, Professor for Data Science in Earth Observation, TUM
  • 2011 - 2018, Scientist and Head of team "Signal Analysis", DLR-IMF
  • 09.2013 - 12-2019, Helmholtz Young Investigators Group Leader of “SiPEO”
  • 12.2013 - 06.2015, Private Dozent, TUM
  • 09.2013 - 06.2015, TUM Junior Fellow, TUM
  • 10.2011 - 2016, Research Group Leader of "SparsEO", Munich Aerospace
  • 08.2008 - 05.2011, Research Assistant, TUM

Awards

  • Fellow of the Academia Europaea (The Academy of Europe) (2024)
  • AAIA Fellow (2024)
  • IEEE Fellow (2021)
  • Geodesy Award of the Nico Rüpke Foundation (2020)
  • ERC Proof of Concept Grant (2020, 2022)
  • ELLIS Fellow (2019)
  • Heinz Maier-Leibnitz Medal (2018)
  • Leopoldina Early Career Award (2018)
  • PRACE Ada Lovelace Award for HPC (2018)
  • Helmoholtz Excellence Professorship (2017)
  • Member, Leopodina - Nationale Akademie der Wissenschaften/Junge Akademie (2016 - 2021)
  • Member, Junges Kolleg der Bayerischen Akademie der Wissenschaften (2016 - 2019)
  • ERC Starting Grant (2016)
  • IEEE GRSS Early Career Award (2016)
  • DLR Science Award (2016)
  • Heinz Maier-Leibnitz-Preis der DFG (2015)
  • Helene-Lange-Preis, EWE-Stiftung und Universität Oldenburg (2015)
  • “Best Innovators Under 35”, Technology Review Germany (2015)
  • Hugo-Denkmeier-Preis (2012)
  • Dimitri N. Chorofas Foundation Research Award (2011)
  • Multiple Best Paper Awards (2010, 2012, 2016, 2017, 2021, 2022, 2024)

Editorial Activities

Research Interests

  •  Remote sensing and Earth observation
  •  Signal processing
  •  Artificial intelligence and machine learning
  •  Data Science  
  •  Application focus - global urban mapping, UN’s SDGs and Climate Change

Videos

Key Publications

  • Gawlikowski, J., Tassi, ..., Zhu, X. (2023)
    A survey of uncertainty in deep neural networks
    Artificial Intelligence Review, doi.org/10.1007/s10462-023-10562-9.
  • Zhu X., Qiu C., Hu J., Shi Y., Wang Y., Schmitt M., Taubenböck H. (2022)
    The Urban Morphology on Our Planet - Global perspectives from Space
    Remote Sensing of Environment, 269, 112794
  • Zhu X., Wang Y., Kochupillai M., Werner M., Häberle M., Hoffmann E., Taubenböck H., Tuia D., Levering A., Jacobs N., Kruspe A., Abdulahhad K. (2022)
    Geoinformation Harvesting From Social Media Data: A community remote sensing approach
    IEEE Geoscience and Remote Sensing Magazine , vol. 10, no. 4, pp. 150-180, Dec. 2022, doi: 10.1109/MGRS.2022.3219584.
  • Zhu X., Montazeri S., Ali M., Hua Y., Wang Y., Mou L., Shi Y., Feng X., Bamler R. (2021)
    Deep Learning meets SAR: Concepts, Models, Pitfalls and Perspectives
    IEEE Geoscience and Remote Sensing Magazine, vol. 9, no. 4, pp. 143-172, Dec. 2021, doi: 10.1109/MGRS.2020.3046356.
  • Mou L., Bruzzone L., Zhu X. (2019)
    Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network
    for Change Detection in Multispectral Imagery
    IEEE Transactions on Geoscience and Remote Sensing 57(2), pp.924-935
  • Shi Y., Zhu X., Yin W., Bamler R. (2018) 
    A fast and accurate basis pursuit denoising algorithm with application to super-resolving tomographic SAR
    IEEE Transactions on Geoscience and Remote Sensing, 56(10), 6148-6158
  • Zhu X, Tuia D, Mou L, Xia G, Zhang L, Xu F, Fraundorfer F (2017)
    Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
    IEEE Geoscience and Remote Sensing Magazine. 2017; 5(4): 8-36.
  • Zhu X., Montazeri S., Gisinger C., Hanssen R., Bamler R. (2016):
    Geodetic SAR Tomography
    IEEE Transactions on Geoscience and Remote Sensing 54 (1), pp. 18-35.
  • Zhu X., Bamler R. (2013):
    A Sparse Image Fusion Algorithm with Application to Pan-sharpening
    IEEE Transactions on Geoscience and Remote Sensing 51 (5), pp. 2827-2836.
  • Zhu X., Bamler R. (2010):
    Tomographic SAR Inversion by L1 Norm Regularization – The Compressive Sensing Approach
    IEEE Transactions on Geoscience and Remote Sensing, 48(10), pp. 3839-3846. 

 

See here for the full list of publications

 

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