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

  • ERC Proof of Concept Grant (2022)
  • Best Paper Award, ISPRS Journal of Photogrammetry and Remote Sensing (2021)
  • IEEE Fellow (2021)
  • Geodesy Award of the Nico Rüpke Foundation (2020)
  • ERC Proof of Concept Grant (2020)
  • Heinz Maier-Leibnitz Medal (2018)
  • Leopoldina Early Career Award (2018)
  • PRACE Ada Lovelace Award for HPC (2018)
  • Helmoholtz Excellence Professorship (2017)
  • 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 Universit?t 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)

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

  • 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