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

Email: daniel.k.krauss@fau.de

LinkedIn: Page of Daniel Krauß

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)
03/2024 – 07/2024	Research Visit Motion Analysis Lab, Harvard Medical School Project topic: Analyzing accelerometer and video data for posture change detection to assess orthostatic dysfunctionality in Parkinson’s disease
08/2020 – 01/2021	Semester abroad in Hungary “Computer Engineering” Budapest University of Technology and Economics
10/2020 – 02/2021	Teaching Assistant Algorithms and Data Structures
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 Algorithms and Data Structures & 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

Sensor-based movement and sleep analysis in Parkinson’s syndrome (D04)

Adaptive AI Systems in Sport

2024

Albrecht N., Langer D., Krauß D., Richer R., Abel L., Eskofier B., Rohleder N., Kölpin A.:
EmRad: Ubiquitous Vital Sign Sensing using Compact Continuous-Wave Radars
In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-10
ISSN: 2644-1276
DOI: 10.1109/OJEMB.2024.3420241
URL: https://ieeexplore.ieee.org/document/10577086
BibTeX: Download
Krauß D., Engel L., Ott T., Bräunig J., Richer R., Gambietz M., Albrecht N., Hille EM., Ullmann I., Braun M., Dabrock P., Kölpin A., Koelewijn A., Eskofier B., Vossiek M.:
A Review and Tutorial on Machine Learning- Enabled Radar-Based Biomedical Monitoring
In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-22
ISSN: 2644-1276
DOI: 10.1109/OJEMB.2024.3397208
BibTeX: Download
Müller J., Krauß D., Engel L., Vossiek M., Eskofier B., Dorschky E.:
End-to-End Learning for Human Pose Estimation from Raw Millimeter Wave Radar Data
Asilomar Conference on Signals, Systems, and Computers
BibTeX: Download

2023

Bräunig J., Mejdani D., Krauß D., Grießhammer S., Richer R., Schüßler C., Yip J., Steigleder T., Ostgathe C., Eskofier B., Vossiek M.:
Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning
2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (Pittsburgh, 15. October 2023 - 18. October 2023)
In: 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2023
DOI: 10.1109/BHI58575.2023.10313506
URL: https://www.mad.tf.fau.de/files/2023/12/braeunig23_radar_palliative_care.pdf
BibTeX: Download
Bräunig J., Mejdani D., Krauß D., Grießhammer S., Richer R., Schüßler C., Yip J., Steigleder T., Ostgathe C., Eskofier B., Vossiek M.:
Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning
2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (Pittsburgh, 15. October 2023 - 18. October 2023)
In: 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), New York City: 2023
DOI: 10.1109/BHI58575.2023.10313506
BibTeX: Download
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
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

2022

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
2024	Carlos Herrera Krebber	Machine Learning based sleep staging from Contactless Vital Sign Radars (Master’s Thesis)
2024	Desar Mejdani	Radar-based Tremor Quantification Using Deep Learning for Improved Parkinson’s and Palliative Care Assessment (Master’s Thesis)
2024	Eduardo Rendon	Estimation of Human Poses with mmWave Radar Sensors (Master’s Thesis)
2023	Paul Zwiessele	Machine Learning-Based Sleep Analysis Using a CW Radar (Bachlor’s Thesis)
2023	Moritz Moss	Investigating the Relationship between Nocturnal Facial Expressions and Mood (Bachlor’s Thesis)
2023	Desar Mejdani	Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning (Research Internship)
2022	Philipp Dörfler	Comparison of Algorithms for Respiratory Information Extraction from Wearable Sensors (Bachlor’s Thesis)

Picture: TF FAU | FATHER&SUN

Daniel Krauß

Daniel Krauß, M. Sc.

Academic CV

Research Projects

Publications

2024

2023

2022

Awards

Student Theses