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

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