Hauke Kirchner


Since February 1, 2022, Mr. Hauke Kirchner has been working as a Data Scientist in the working group “Computing” (AG C). On the one hand, he will support his colleagues in the project “FOREST-CARE” in remote sensing, and on the other hand, he will work at the interface between HPC and machine learning. After completing his Bachelor’s degree in Biology at the Georg-August-University Göttingen, he specialized in Remote Sensing during his master’s studies in Forest Information Technology at the University for Sustainable Development Ewerswalde and the Warsaw University of Life Sciences (SGGW). In his master’s thesis at the Helmholtz Centre for Environmental Research in Leipzig, he analyzed airborne lidar data with the aim of single tree detection and species classification on large areas.

  • Data Science
  • Remote Sensing
  • Data Management
  • High-Performance Computing

  • Tree species classification from airborne LiDAR using individual crown delineation and machine learning, Hauke Kirchner (Master's Thesis), Advisors: Dr. N. Knapp, , BibTeX
  • Taxonomical read assignment with filtered spaced \ word matches at varying taxonomic levels, Hauke Kirchner (Bachelor's Thesis), Advisors: Prof. Morgenstern, , BibTeX

All publications as BibTex

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