Kevin Styp-Rekowski | Research assistant @ TU Berlin

I am a research associate and PhD student at the HEIBRiDS (Helmholtz Einstein International Berlin Research School in Data Science) program and working in the interdisciplinary "Multi-satellite Approach of Monitoring Atomsphere/Magnetosphere Space Weather Interactions" project. Thus, I am associated with the TU Berlin in the distributed systems group of Odej Kao and with the GFZ Potsdam in the geomagnetism section of Claudia Stolle. We investigate the use of non-dedicated satellites to improve the data availabilty for geomagnetic observations of the earth's magnetic field in space. By making more data accessible, the enlargened coverage of the earth's surface can deepen the knowledge about the earth's interior.
Organizations worked for: Servermeile, KSB

GitHub: Github-Link
ResearchGate: ResearchGate-Link
Mail: styp-rekowski at tu-berlin.de

Kevin Styp-Rekowski

publications

2020:
  • Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines - Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, and Odej Kao. In 2020 IEEE International Conference on Big Data, To appear.
  • Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series - Kevin Styp-Rekowski, Florian Schmidt, and Odej Kao. In 2020 IEEE International Conference on Big Data, To appear.
2019:
  • Graph-based Feature Selection Filter Utilizing Maximal Cliques - Daniel Thilo Schroeder, Kevin Styp-Rekowski, Florian Schmidt, Alexander Acker, and Odej Kao. In 2019 Sixth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE.
  • A Framework for Analyzing News Images and Building Multimedia-Based Recommender - Andreas Lommatzsch, Benjamin Kille, Kevin Styp-Rekowski, Max Karl, Jan Pommering. In International Conference on Innovations for Community Services. Springer, Cham.

supervised theses

Completed:
  • Implementierung eines WEKA-Plugins am Beispiel einer graphen-basierten Feature Selection mit maximalen Cliquen - Trieu Minh Bui
  • Application of Neural Networks in Unsupervised Anomaly Detection from Time and Frequency Data of Rotating Machines - Sabtain Ahmad

theses

  • Streaming-based Regions of Interest Extraction for Contrast-Enhanced Ultrasound Videos. Kevin Styp-Rekowski. Master thesis submitted at TU Berlin in December 2018.
  • Generation of Adaptations Using Genetic Algorithms (Generierung von Adaptationen mithilfe von Genetischen Algorithmen). Kevin Styp-Rekowski. Bachelor thesis submitted at TU Berlin in June 2016.

© Kevin Styp-Rekowski | Last Update: 11 Feb 2021