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Lavinia Goldermann, M.Sc. RWTH

Contact


Research Assisstent

Tel. +49 241 80 - 21142
Fax +49 241 80 22150


Email: goldermann[at]embedded[dot]rwth-aachen[dot]de

Addresse: Süsterfeld 9, 52072 Aachen, Germany
Office: 220

Research

As part of my research work, I deal with the data quality of intensive care data. In particular, my focus is on intensive care data that is collected using unobtrusive measurement methods. With the help of AI methods and xAI methods, additional statements about data quality can be made.

Theses currently supervised

  • <color #7092be>Bachelor thesis</color> - Generation of annotated ICU data with AI-based methods
  • <color #7092be>Bachelor thesis</color> - Identification of anomaly classes in intensive care time series data by clustering-based analysis

Teaching

Publications

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RWTH Aachen - Lehrstuhl Informatik 11 - Ahornstr. 55 - 52074 Aachen - Deutschland