M.Sc. Sven Wöhrle

© Raimond Spekking / CC BY-SA 4.0 (via Wikimedia Commons)

About Us

M.Sc. Sven Wöhrle

Research Coordinator / PhD Student

Sven Wöhrle is the coordinator of the research focus Knowledge Discovery. He is responsible for the organization of the research focus and writes proposals, organizes meetings like the Research Colloquium and is in charge of the research data management. Furthermore he is a research associate and PhD Student as part of the team led by Prof. Dr. Gernot Heisenberg. With his geographical background he is researching food security in the Femoz program from a data analytic point of view, using socioeconomic, health and remote sensing data. With the ASA exchange program he participated in the Prefect-project focusing on food security at the Horn of Africa in 2019.

Projects

  • Claudiusstraße 1, 50678 Köln
  • +49 221-8275-5248
  • sven.woehrle@th-koeln.de

Publications

Journals papers

  • R.K. Pranti, G. Heisenberg, S. Wöhrle (2024): Comparison of Missing Data Imputation Techniques using Autoencoders, In Proceedings of the 2023 and 2024 VIMS Conference workshops of the research focus Networked Intelligent Infrastructures and Mobile Systems (VIMS), Editors: Tobias Krawutschke, Beate Rhein, René Wörzberger, (2024). →https://doi.org/10.57684/COS-1240
  • G. Heisenberg, R. I. Rocha Lima Filho, S. Wöhrle (2023): Analysing food insecurity influencing factors in Sub-Saharan African countries - A mixture of Cluster Analysis and Cross-Sectional Panel Data, In Proceedings of 2023 Africa Meeting of the Econometric Society (AFES 2023) hosted by The African Economic Research Consortium (AERC), Nairobi, Kenya, June 1-3, 2023
  • S. Wöhrle, G. Heisenberg, and R. I. Rocha Lima Filho (2022): Predicting household water supply using satellite imagery and deep learning, In Proc. SPIE 12262, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIV, 122620Q (28 October 2022), Berlin, Germany; →https://doi.org/10.1117/12.2636152
  • R. Rocha Lima Filho, G. Heisenberg, R. Wirtz, L. Koeritz, L. Caspersen, S. Wöhrle (2021): PREFECT – Development and Evaluation of a prediction model for the probability of famine catastrophes using data analytics techniques, In Proceedings of 2021 MIT SCALE Latin American Conference, MIT, Cambridge, MA, U.S., 2021
  • G. Heisenberg, L. Caspersen, S. Wöhrle, R. Ivo da Rocha Lima Filho (2020): Deep learning approach for the prediction of food insecurity, In Proceedings of 4th International Conference on Global Food Security, December 2020, Montpellier, France
  • G. Heisenberg, L. Caspersen, S. Wöhrle, R. Ivo da Rocha Lima Filho (2019): Combining socio-economic and remote sensing data for food insecurity prediction using neural networks, In Proceedings of German-Brazilian Symposium on Sustainable Development, University of Hohenheim, Stuttgart, Germany