Deutsch Intern
Earth Observation Research Cluster

Konstantin MÜLLER

Department of Remote Sensing

  +49 931 31-82520
 konstantin.mueller@uni-wuerzburg.de

Institute for Geography and Geology
Department for Remote Sensing
John Skilton Str. 4a
97074 Würzburg

Education:

  • 2018-2021: B.Sc. Computer Science, Thesis title: Creating High Resolution Normalized Digital Surface Models through Supervised Deep Learning using Sentinel 2 Data (Runner’s up Thesis Award).
  • 2021-2022: M.Sc. Aerospace Informatics
  • 2022-2024: M.Sc. Applied Earth Observation, Thesis title: Animal Path Segmentation and Analysis via Generalized Deep Neural Network Regression.

Employment history:

  • 2019-2021: Research Assistant, Chair of Software Engineering, Thorn Lab (Structual Corona Taskforce) at JMU and the Virchow-Center
  • 2021-2022: Software Engineer at PDSVision (former: NET), Saxony, Leipzig
  • 2022-2024: Research Assistant, Department of Remote Sensing, JMU Würzburg

Internships and Academic programs:

  • 2024: IRIDeS: Data Science of Risk Evaluation and Analysis of Natural Disasters, Sendai, Tohoku University, Japan
  • 2023: ICL Summer School: Landslides and Rock Avalanges, Kokomeren, Kyrgyz Republic
  • 2016: Microsoft: Machine Learning and Azure Cloud Environment, Munich, Germany

Misc:

  • Coding langs: Java, Kotlin, Pyhton, R, SQL, XML, HTML, CSS,  Javascript (C, C#)
  • Academic Research, teaching, LATEX typesetting and publishing

2025[ to top ]
  • Müller, K.; Schwalb-Willmann, J.; Wegmann, M.; Leutner, B. (2025): RStoolbox: An R package for remote sensing data analysis. In: Methods in Ecology and Evolution
2023[ to top ]
  • Müller, K.; Leppich, R.; Geiß, C.; Borst, V.; Pelizari, P. A.; Kounev, S.; Taubenböck, H. (2023): Deep Neural Network Regression for Normalized Digital Surface Model Generation With Sentinel-2 Imagery. In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 8508-19.