Luca Abel

Luca Abel, M. Sc.

Researcher & PhD Candidate

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

Carl-Thiersch-Str. 2b
91052 Erlangen

Email: luca.abel@fau.de

Academic CV

Since 10/2022	Researcher and PhD Candidate Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
10/2019 – 09/2022	M. Sc. in Medical Engineering “Medical Image and Data Processing” Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Master’s Thesis: Machine Learning-Based Detection of Acute Psychosocial Stress from Dynamic Movements
03/2021 – 07/2022	Student assistant Digital Psychology Lab EmpkinS D03
12/2018 – 03/2021	Working student Portabiles GmbH
09/2015 – 03/2019	B. Sc. in Medical Engineering “Medical Imaging” Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Bachelor’s Thesis: Classification and prediction of acute stress-induced response patterns

Research Projects

Health Psychology
- Machine Learning in Health Psychology
EmpkinS
- Empathokinesthetic sensors for biofeedback in depressed patients (D02)
- Contactless measurement of stress, its determinants, and consequences (D03)

Publications

2023

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
Richer R., Abel L., Küderle A., Eskofier B., Rohleder N.:
CARWatch – A smartphone application for improving the accuracy of cortisol awakening response sampling
In: Psychoneuroendocrinology 151 (2023), p. 106073
ISSN: 0306-4530
DOI: 10.1016/j.psyneuen.2023.106073
URL: https://www.sciencedirect.com/science/article/abs/pii/S0306453023000513
BibTeX: Download

2019

Abel L., Richer R., Küderle A., Gradl S., Eskofier B., Rohleder N.:
Classification of Acute Stress-Induced Response Patterns
EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '19) (Trento, 20. May 2019 - 23. May 2019)
DOI: 10.1145/3329189.3329231
URL: https://www.mad.tf.fau.de/files/2019/05/2019-Abel-PervasiveHealth-StressResponsePatterns.pdf
BibTeX: Download

Teaching