Daniel Krauß

Daniel Krauß, M. Sc.

Researcher & PhD Candidate

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Room 01.026
Carl-Thiersch-Str
91052 Erlangen

Since 03/2022	Researcher and PhD Candidate Machine Learning and Data Analytics Lab, Department of Artificial Intelligence in Biomedical Engineering (AIBE) Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
08/2020 – 01/2021	Semester abroad in Hungary “Computer Engineering” Budapest University of Technology and Economics
10/2020 – 02/2021	Teaching Assistant Data Structures and Algorithms
12/2019 – 06/2020	Working student Future Sports at Adidas AG, Herzogenaurach
04/2019 – 01/2022	M.Sc in Medical Engineering “Medical Image and Data Processing” Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Master’s Thesis: Benchmarking of Sleep/Wake Detection Algorithms using Wearable Sensors and Machine Learning
09/2016 – 04/2108	Teaching Assistant Data Structures and Algorithms & Medical Engineering I
09/2015 – 01/2019	B.Sc in Medical Engineering “Medical Production Technology, Device Engineering and Prosthetics” Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Bachelor’s Thesis: Heart Rate Variability Analysis for Unsupervised Tilt Table Testing during Daily-life Activities

Krauß D., Richer R., Albrecht NC., Küderle A., Abel L., Leutheuser H., Jukic J., German A., Kölpin A., Winkler J., Eskofier B.:
Contactless Heart Rate Estimation using a 61 GHz Continuous-Wave Radar
IEEE-EMBS International Conference on Body Sensor Networks: Sensor and Systems for Digital Health (MIT Media Lab, Boston MA, 9. October 2023 - 11. October 2023)
BibTeX: Download
Krauß D., Richer R., Küderle A., Eskofier B.:
Benchmarking of Sleep Stage Detection Algorithms on a Large Cohort using Actigraphy, HRV and Respiration Information
IEEE-EMBS International Conference on Body Sensor Networks: Sensor and Systems for Digital Health (MIT Media Lab, Boston MA USA, 9. October 2023 - 11. October 2023)
BibTeX: Download
Mehringer W., Stöve M., Krauß D., Ring M., Steussloff F., Güttes M., Zott J., Hohberger B., Michelson G., Eskofier B.:
Author Correction: Virtual reality for assessing stereopsis performance and eye characteristics in Post-COVID (Scientific Reports, (2023), 13, 1, (13167), 10.1038/s41598-023-40263-w)
In: Scientific Reports 13 (2023), Article No.: 16307
ISSN: 2045-2322
DOI: 10.1038/s41598-023-43373-7
BibTeX: Download
Mehringer W., Stöve M., Krauß D., Ring M., Steussloff F., Güttes M., Zott J., Hohberger B., Michelson G., Eskofier B.:
Virtual reality for assessing stereopsis performance and eye characteristics in Post-COVID
In: Scientific Reports 13 (2023), p. 13167-
ISSN: 2045-2322
DOI: 10.1038/s41598-023-40263-w
BibTeX: Download

Krauß D., Richer R., Küderle A., Beilner J., Rohleder N., Eskofier B.:
Benchmarking of Sleep/Wake Detection Algorithms on a Large Cohort using Actigraphy, HRV, and Respiration Information
IEEE-EMBS International Conference on Biomedical and Health Informatics (Ioaninna, 26. September 2022 - 30. September 2022)
BibTeX: Download
Krauß D., Richer R., Küderle A., Rohleder N., Eskofier B.:
Towards Integration of Sleep Quality in Sports Monitoring – Improving Wearable Sleep Detection Algorithms through Respiratory Information
13th World Congress of Performance Analysis of Sport 2022 & 13th International Symposium on Computer Science in Sport 2022 (Wien, 10. September 2022 - 13. September 2022)
BibTeX: Download

Daniel Krauß: Routledge Young Researcher Award (2nd place) (International Association of Computer Science in Sport) – 2022

Year	Name	Title
2022	Philipp Dörfler	Comparison of Algorithms for Respiratory Information Extraction from Wearable Sensors (Bachlor’s Thesis)