Joshua Holstein, M.Sc.
- Applied AI in Services Lab
4B-04
CS 05.20+49 721 608-45758
joshua holstein ∂does-not-exist.kit edu
Kaiserstr. 89
D - 76133 Karlsruhe
Activities
During his Bachelor’s degree Joshua Holstein studied industrial engineering with a focus on mechanical engineering at the Technical University Darmstadt. Afterward, he earned his Master’s Degree at the Karlsruhe Institute of Technology (KIT) in Industrial Engineering and Management. As part of his studies, he spent a semester abroad at Reichman University in Herzliya (Israel). After finishing his master thesis at the Bayer AG, he joined the Applied AI lab of the Digital Service Innovation Group in July 2022 as a research associate. During his joined PhD with the Bayer AG, he researches how to lever data-centric AI methods in industrial settings such as manufacturing to improve the data quality for artificial intelligence. Further, he looks into how human decision-makers can effectively collaborate with AI systems to achieve superior decision outcomes by systematically advancing their understanding of the underlying data and the AI system.
Research Focus
- Data Understanding
- Data-centric AI
- Human-AI Collaboration
Projects
Teaching
- Artificial Intelligence in Service Systems: Generative AI & Adoption (SS25)
- Artificial Intelligence in Service Systems: Applications in Computer Vision (SS 23, SS 24)
- Artificial Intelligence in Service Systems (WS24/25)
- Applied AI in Service Systems (WS24)
- Seminar: Data Science for Industrial Applications (SS 23, SS 24)
Publications
Holstein, J.; Müller, P.; Vössing, M.; Fromm, H.
2025. 58th Hawaii International Conference on Systems Sciences, Waikoloa, 7th-10th January 2025, Association for Information Systems (AIS)
Holstein, J.
2024. Companion Proceedings of the 29th International Conference on Intelligent User Interfaces, 163–165, Association for Computing Machinery (ACM). doi:10.1145/3640544.3645248
Holstein, J.; Spitzer, P.; Hoell, M.; Vössing, M.; Kühl, N.
2024. Proceedings of the 32nd European Conference on Information Systems (ECIS 2024), Association for Information Systems (AIS)
Holstein, J.; Schemmer, M.; Jakubik, J.; Vössing, M.; Satzger, G.
2023. Electronic Markets, 33 (1), Art.-Nr.: 52. doi:10.1007/s12525-023-00677-w
Spitzer, P.; Holstein, J.; Vössing, M.; Kühl, N.
2023. AutomationXP23: Intervening, Teaming, Delegating Creating Engaging Automation Experiences, CEUR-WS.org. doi:10.48550/arXiv.2304.09803