====== Lavinia Goldermann, M.Sc. RWTH ======
~~NOTOC~~
~~NOCACHE~~

===== Contact =====
{{ :lehrstuhl:mitarbeiter:goldermann.jpg?direct&160|}}

\\
Research Assisstent\\
\\

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

\\
Email: goldermann[at]embedded[dot]rwth-aachen[dot]de\\
\\
Addresse: Ahornstr. 55, 52074 Aachen, Germany\\
Office: 2325\\
\\

===== 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=====
| **Term**                    | **Titel**                           | **Type** |
| [[:lehre:sose24  |24 Summer]]   | [[:lehre:sose24:psp]]               | Practical course |
| :::                             | [[lehre:sose24:proseminar]]         |    S    |
| :::                     | [[lehre:sose24:seminar|Seminar: Ausgesuchte Themen zur Eingebetteten Software]]                         |    S    |
| [[:lehre:wise2223 |23 Winter]]    | [[lehre:wise2324:seminar]]                       |    S    |
| :::                     | [[lehre:wise2324:proseminar]]                    |    S    |  
====Publications====
<BIBTEX: file=publikationen style=i11 sort=year filter=goldermann>