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: 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

Teaching

Term Titel Type
24 Summer Praktikum Systemprogrammierung Practical course
Proseminar: Grundlagen eingebetteter Systeme S
Seminar: Ausgesuchte Themen zur Eingebetteten Software S
23 Winter Seminar: Ausgesuchte Themen zur eingebetteten Software S
Proseminar: Grundlagen eingebetteter Systeme S

Publications


Publikations-Export
[GRB+24]
PDFBIB
Goldermann, L., Rakel, S., Buglowski, M., Mokhtarian, A., Kampmann, A., Janß, A., Yilmaz, O., Beger, F., Walter, M., Leonhardt, S., Kowalewski, S., and Stollenwerk, A., "Designing the user interface of a ventilator under the constraints of a pandemic", Automatisierungstechnik, vol. 72, iss. 5, pp. 484-495, 2024

Designing the user interface of a ventilator under the constraints of a pandemic

Bibtex entry :

@article {  GRB+24,
	author = { Goldermann, Lavinia and Rakel, Stefan and Buglowski, Mateusz
		and Mokhtarian, Armin and Kampmann, Alexandru and Jan{\ss},
		Armin and Yilmaz, Okan and Beger, Frank and Walter, Marian
		and Leonhardt, Steffen and Kowalewski, Stefan and
		Stollenwerk, André },
	title = { Designing the user interface of a ventilator under the
		constraints of a pandemic },
	journal = { Automatisierungstechnik },
	publisher = { De Gruyter },
	pages = { 484-495 },
	volume = { 72 },
	number = { 5 },
	year = { 2024 },
	address = { Berlin },
	issn = { 0178-2312 },
	doi = { 10.1515/auto-2023-0205 },
	typ = { PUB:(DE-HGF)16 },
	reportid = { RWTH-2024-04857 },
	cin = { 122810 / 611010 / 419410 / 120000 },
}