Niklas Wagner

  • Office Hours: by appointment
  • Kaiserstraße 89
    76133 Karlsruhe

Research Interests

Data Management, Compound AI Systems, Text-to-SQL, Knowledge Graphs, Business Intelligence, Boundary Objects, Software-Hardware-Integration

CV

Niklas Wagner is a doctoral researcher and research project manager at the Karlsruhe Institute of Technology (KIT). At h-lab, he is responsible for the cooperative research project Digitalization of the Tax Function (Agentic EnTIS), conducted jointly by EnBW, KIT, and the University of Mannheim. In addition, he teaches Business Intelligence Systems at KIT, guides students in the use of Databricks, and has supervised three master’s theses, one team project, and three practical seminars at h-lab.

Before studying Electrical Engineering and Information Technology, he completed an apprenticeship as an electrical technician. He subsequently gained experience in both industry and research through positions at Ford, thyssenkrupp, Netze BW, EnBW, the FZI Research Center for Information Technology, and KIT.

His background provides him with a strong systems engineering perspective spanning plant engineering, microcomputer systems, and deep learning approaches. His doctoral research focuses on the design of LLM-based enterprise data assistants using knowledge graphs in the context of Text-to-SQL systems.

Publications


Designing For Imperfect Prompts A Simulation-Based Evaluation Of An Llm-Based Enterprise Data Assistant Using Knowledge Graphs
Wagner, N.; Maedche, A.
2026. ECIS 2026, ECIS2026–1659, AIS Electronic Library (AISeL)