Prof. Dr. -Ing. habil. Xiaoxiang Zhu

Curriculum Vitae

• Since 2024, Fellow of the Academia Europaea (The Academy of Europe) 
• 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

• Associate Editor, Elsevier Pattern Recognition
• Associate Editor for the IEEE Transaction on Geoscience and Remote Sensing
• Associate Editor for the Journal of Applied Remote Sensing
• Area Editor, IEEE Signal Processing Magazine (IEEE-SPM)

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

• Global urban mapping: https://www.youtube.com/watch?v=VgluoTngkQE
• Tomographic city tour of Berlin: https://www.youtube.com/watch?v=BrpDRdhBhcQ
• Artificial intelligence for Earth observation (starting from ca. 47:00):
  https://www.esa.int/spaceinvideos/Videos/2018/11/Ph-week_AI4EO_part_3

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