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University of Regensburg
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Jennifer Landes

Jennifer Landes is doctoral student at the Chair of Data Engineering at Regensburg University. She works on the generalization of a preprocessing pipeline of Eye-Tracking Data. Furthermore, she investigates and evaluates data quality metrices on time series data.

 

Landes, Jennifer

Externe Promovendin

Overview

Research Interest

  • Data Quality Metrics for Time-Series Data
  • Pipeline-Creation and Optimization
  • Preprocessing Algorithms and Methods
  • Eye-Tracking as Use-Case

Curriculum Vitae

  • B.Sc. and M.Sc. in Business Informatics, University of Mannheim
  • IT Delegate,  Heidelberg University
  • Research Associate, University of Applied Sciences, Neu-Ulm
  • Research Associate, Ernst Abbe University of Applied Sciences Jena

Teaching

  • Lecture Seminar: Data Engineering, University of Regensburg (WiSe 2025)
  • Programming Lab: Data Engineering, University of Regensburg (SoSe 2025)
  • Fundamentals of Computer Science and Introduction to Python, Neu-Ulm University of Applied Sciences (2022–2025)
  • Fundamentals of Computer Science and Introduction to Python; Artificial Intelligence: Neural Networks and Classification, Ernst Abbe University of Applied Sciences Jena (2024–2025)

Publications

Publications

[Translate to English:] Google Scholar (external link, opens in a new window)
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