M. Sc. Till Carlo Schelhorn
- Doctoral Researcher
- Office Hours: by appointment
- Room: 5C-03.2
- Phone: +49 721 608-41583
- till schelhorn ∂ kit edu
- www.linkedin.com/in/till-carlo-schelhorn-4b063b168/
Karlsruhe Institute of Technology (KIT)
Institute of Information Systems and Marketing (IISM)
Kaiserstraße 89
76133 Karlsruhe
Research Interests
- Open Data
- Data Democratization
- Artificial Intelligence & Machine Learning
- Conversational Language Interfaces (CLI) & Large Language Models (LLM)
Short CV
Since 07/2023 |
Doctoral Researcher in the research group of "Information Systems I" at the Karlsruhe Institute of Technology (KIT) |
10/2019 - 04/2023 |
M. Sc. Information Systems (Wirtschaftsinformatik) |
03/2015 - 03/2019 |
B. Sc. Business Information Systems (Wirtschaftsinformatik) |
Internship and work experience at Robert Bosch GmbH, In Mind Cloud GmbH and IDS GmbH - Analysis and Reporting Services. Exchange Semester at Nanyang Polytechnic School of IT in Singapore.
Publications
Designing a Large Language Model Based Open Data Assistant for Effective Use
Schelhorn, T. C.; Gnewuch, U.; Maedche, A.
2024. Design Science Research for a Resilient Future – 19th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2024, Trollhättan, Sweden, June 3–5, 2024, Proceedings. Ed.: M. Mandviwalla, 398–411, Springer Nature Switzerland. doi:10.1007/978-3-031-61175-9_27
Schelhorn, T. C.; Gnewuch, U.; Maedche, A.
2024. Design Science Research for a Resilient Future – 19th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2024, Trollhättan, Sweden, June 3–5, 2024, Proceedings. Ed.: M. Mandviwalla, 398–411, Springer Nature Switzerland. doi:10.1007/978-3-031-61175-9_27
Designing an Analytical Control Chart System with ML-predicted Quality Characteristics
Schelhorn, T. C.; Gunklach, J.; Maedche, A.
2023. LWDA 2023 : Lernen, Wissen, Daten, Analysen 2023. Ed.: M. Leyer, 14–27, RWTH Aachen
Schelhorn, T. C.; Gunklach, J.; Maedche, A.
2023. LWDA 2023 : Lernen, Wissen, Daten, Analysen 2023. Ed.: M. Leyer, 14–27, RWTH Aachen