Daniel Krauß
Daniel Krauß, M. Sc.
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch-Str
91052 Erlangen
- Email: daniel.k.krauss@fau.de
| Since 03/2022 | Researcher and PhD Candidate
Machine Learning and Data Analytics Lab, |
| 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 |
2025
- Engel L., Müller J., Rendon EJF., Dorschky E., Krauß D., Ullmann I., Eskofier B., Vossiek M.:
Advanced Millimeter Wave Radar-Based Human Pose Estimation Enabled by a Deep Learning Neural Network Trained With Optical Motion Capture Ground Truth Data
In: IEEE Journal of Microwaves (2025), p. 1-15
ISSN: 2692-8388
DOI: 10.1109/JMW.2025.3535525
BibTeX: Download
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 - Mejdani D., Bräunig J., GrießHammer SG., Krauß D., Steigleder T., Engel L., Jukic J., Rozhdestvenskaya A., Winkler J., Eskofier B., Ostgathe C., Vossiek M.:
Radar-Based Tremor Quantification Using Deep Learning for Improved Parkinson’s and Palliative Care Assessment
In: IEEE Transactions on Radar Systems 2 (2024), p. 1174-1185
ISSN: 2832-7357
DOI: 10.1109/TRS.2024.3494473
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), New York City: 2023
DOI: 10.1109/BHI58575.2023.10313506
URL: https://www.mad.tf.fau.de/files/2023/12/braeunig23_radar_palliative_care.pdf
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 |
(Bachlor’s Thesis) |
| 2023 | Moritz Moss |
(Bachlor’s Thesis) |
| 2023 | Desar Mejdani | |
| 2022 | Philipp Dörfler | Comparison of Algorithms for Respiratory Information Extraction from Wearable Sensors
(Bachlor’s Thesis) |
Picture: TF FAU | FATHER&SUN