Dr. Arnd Meiser
Research Assistant
Contact:
Enrique-Schmidt-Straße 1
28359 Bremen
WIWI 1 Building, Room A2320
phone: +49 (0)421 218-66752
arnd.meiserprotect me ?!gmxprotect me ?!.de
Career
Current Position
Since 2022 University Bremen, Germany
Research Assistant in the field of Business Psychology and Human Resources
Previous Position
2018 - 2019 Carl von Ossietzky University Oldenburg, Germany
Reseach Assistant in Department for Supply Reseach
2017 - 2018 Carl von Ossietzky University Oldenburg, Germany
Reseach Assistant in Department for Psychology
Education
2019 - 2022 Carl von Ossietzky University Oldenburg, Germany
Degree in Neurocognitive Psychology, PhD
2016 - 2019 Carl von Ossietzky University Oldenburg, Germany
Degree in Neurocognitive Psychology , Master of Science
2012 - 2016 Leuphana University Lüneburg, Germany
Degree in Business Psychology , Bachelor of Science
Project KARAT
Arnd Meiser is a member of the KARAT project team.
KARAT stands for the project "Artificial Intelligence for Healthy Work in Driving Professions: Workload and Safety in Traffic and Transportation (KARAT)" which implements an employee-oriented AI application to support driving professions in Germany. By using both individual data, physiological reactions and driving data as well as publicly available data (e.g. weather data, major events, traffic situations), an analysis on workload based on machine learning is developed.
Publications
All Publications in the project KARAT by Mr. Arnd Meiser can be found here.
Further publications are:
- Kasten, F. H., Duecker, K., Maack, M. C., Meiser, A., & Herrmann, C. S. (2019). Integrating electric field modeling and neuroimaging to explain inter-individual variability of tACS effects. Nature communications, 10(1), 1-11. https://doi.org/10.1038/s41467-019-13417-6
- Meiser, A., Tadel, F., Debener, S., & Bleichner, M. G. (2020). The Sensitivity of Ear-EEG: Evaluating the Source-Sensor Relationship Using Forward Modeling. Brain Topography, 1-12. https://doi.org/10.1007/s10548-020-00793-2
- Meiser, A., & Bleichner, M. G. (2022). Ear-EEG compares well to cap-EEG in recording auditory ERPs: a quantification of signal loss. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ac5fcb