Research interests:
- Design Science Research (DSR) of GenAI Applications
- Data Quality & Reliability of GenAI outputs
- Designing, building and evaluating Generative AI Systems for Business Applications
- Evaluation of LLM Agents in Retrieval Systems + Extraction Systems
Short Bio:
I am a PhD candidate in the BMW doctoral program and a Research Associate at the Chair for Strategy and Organization at TUM. My research explores the application of Generative AI across diverse business domains, with a particular focus on the design, development, and evaluation of LLM systems. I am especially interested in data quality, system reliability, and the performance of LLM agents in retrieval and extraction contexts.
Educational background:
- B.Sc. Information Systems (TUM)
- M.Sc. Information Systems (TUM)
Peer reviewed publications and proceedings:
- Yu, J., Li, K. C., Treffers, T., & Welpe, I. (2026). From Detection to Decision: A Human-Centered Artifact for Regulatory Change Review. 47th International Conference on Information Systems (ICIS 2026). (Conditionally accepted).
- Yu, J., & Welpe, I. (2027). Designing Source-Grounded GenAI Systems for Trustworthy Technology Scouting in Cost Engineering. 60th Hawaii International Conference on System Sciences (HICSS-60). (Conditionally accepted).
- Yu, J., Li, K. C., & Ostarek, J. (2026, July). RegTrack: A Fine-Grained Benchmark for Multi-Class Legal Change Detection. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) (pp. 764–778). https://doi.org/10.18653/v1/2026.acl-srw.68
- Yu, J., & Zhang, Y. (2026). Designing an LLM Agent for Enterprise Question Answering over Heterogeneous Documents. Proceedings of the Pacific Asia Conference on Information Systems (PACIS 2026). 10. https://aisel.aisnet.org/pacis2026/practioner/practioner/10
- Yu, J., Born, N., & Treffers, T. (2026). From News to Data: A Hybrid LLM Pipeline for Robust Person-Centric Information Extraction. Proceedings of the Pacific Asia Conference on Information Systems (PACIS 2026). 21. https://aisel.aisnet.org/pacis2026/ai_ml/ai_ml/21
- Schweizer, F., Yu, J., Mille, E., Reimer, L. M., Kapsecker, M., Klinker, J., & Jonas, S. (2026). Smartphone Sensor Battery Consumption: A Standardized and Reproducible Test Protocol. Sensors, 26(10), 2923. https://doi.org/10.3390/s26102923
- Kapsecker, M., Mille, E., Schweizer, F., Klinker, J., Yu, J., Leube, A., & Jonas, S. M. (2025). Facial Landmark Analysis for Detecting Visual Impairment in Mobile LogMAR Test. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/jbhi.2025.3529288
- Klinker, J., Yu, J., Avezum-Mercer, M., & Jonas, S. (2023). Presenting a Statistical Approach for Transforming Standardized German Traffic Surveys into Origin-Destination Matrices. Proceedings of the 2023 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST) (pp. 177-186). IEEE. https://doi.org/10.1109/MOST57249.2023.00026
Conference presentations:
- Yu, J., Li, K. C., & Ostarek, J. (2026). RegTrack: A Fine-Grained Benchmark for Multi-Class Legal Change Detection. Poster presentation at the 64th Annual Meeting of the Association for Computational Linguistics Student Research Workshop (ACL SRW 2026).
- Yu, J., & Zhang, Y. (2026). Designing an LLM Agent for Enterprise Question Answering over Heterogeneous Documents. Paper presentation at the Pacific Asia Conference on Information Systems (PACIS 2026).
- Yu, J., Born, N., & Treffers, T. (2026). From News to Data: A Hybrid LLM Pipeline for Robust Person-Centric Information Extraction. Paper presentation at the Pacific Asia Conference on Information Systems (PACIS 2026).
- Klinker, J., Yu, J., Avezum-Mercer, M., & Jonas, S. (2023). Presenting a Statistical Approach for Transforming Standardized German Traffic Surveys into Origin-Destination Matrices. Paper presentation at the 2023 IEEE International Conference on Mobility, Operations, Services and Technologies (MOST)
Involvement in the organization of conferences
- Post-ECIS Research Exchange on Information Systems, Strategy, Organisation, and AI, Technical University of Munich, June 18–19, 2026. Co-Organizer.
- From Lab to Launch: Unleashing Academic Start-ups, TUM Campus Heilbronn, June 25, 2026. Organizing Team Member, Technical Coordination.
- Future of Computing | Quantum Connect 2026, Technical University of Munich, Munich, March 3, 2026. Organizing Team Member, Technical Coordination.
- AI@LAW: KI, Verwaltung und Justiz – Innovation im Rechtsstaat?, Technical University of Munich, Munich, January 29, 2026. Organizing Team Member, Technical Coordination.
- Breaking BAIS Conference, Technical University of Munich, Munich, March 18, 2025. Organizing Team Member, Technical Coordination.
Work experience:
- Digitalization Cost Engineering @BMW
- Associate Consultant @Simon-Kucher
- Research Assistant Digital Health @TUM
Supervisions:
I am currently at full supervision capacity and therefore unable to take on additional thesis students at this time.
Room Number: 2556
Email: joe(dot)yu(at)tum(dot)de