M.Sc. Lukas Schick
- Group: KIT
- Office Hours: nach Vereinbarung
- Room: 5C-02.2
- Phone: +49 (721) 608-48382
- lukas schick ∂does-not-exist.kit edu
Karlsruhe Institute of Technology (KIT)
Fakultät für Wirtschaftswissenschaften
Institut für Wirtschaftsinformatik und Marketing
Kaiserstraße 89, 76133 Karlsruhe
Research Interest
- Biosignal-Adaptive Systems
- Mental Fatigue and its prevention
- Mental Workload, Mental Readiness, Flow, and related concepts
- Biosensor data (EEG, ECG, and others)
- Experimental research (KD2Lab)
- Data Science Methods (Statistical Analysis, Time Series, Machine Learning & Deep Learning)
- Economic Decision Making
CV
| Since 10/2024 | Doctoral Researcher at KIT, Member of KD2School |
| 04/2024-09/2024 | Master Thesis Student - Autonomous Driving - Porsche AG |
| 10/2023-03/2024 | Student Research Assistant - Deep Learning - University of Tuebingen |
| 10/2022-09/2024 | M.Sc. Data Science in Business & Economics - University of Tuebingen |
| 03/2022-08/2022 | Intern - Data Science & Statistics - Boehringer Ingelheim |
| 03/2021-07/2021 | Intern - Data Management & Analytics - Voith Group |
| 10/2017-02/2022 | B.Sc. Information Systems - TH Ulm |
Publications
Mental Readiness and Fatigue: Extended Perspectives on Cognitive Functioning and Flow Experiences at Work
Schick, L.; Knierim, M. T.; Gaube, B.; Nadj, M.; Mädche, A.
2025. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, Art.-Nr.: 393, Association for Computing Machinery (ACM). doi:10.1145/3706599.3719836
Schick, L.; Knierim, M. T.; Gaube, B.; Nadj, M.; Mädche, A.
2025. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, Art.-Nr.: 393, Association for Computing Machinery (ACM). doi:10.1145/3706599.3719836