Profil

  • Seit 2026 Professorin für Data Science und Künstliche Intelligenz
  • 2023-2025 Data Scientist mit Schwerpunkt Künstliche Intelligenz, Deutsche Bundesbank, Frankfurt am Main
  • 2019-2023 Doktorandin, SAP, Walldorf
  • 2019-2023 Externe Doktorandin, Lehrstuhl für Künstliche Intelligenz, Universität Mannheim, Mannheim
  • 2016-2019 Master of Science Wirtschaftsmathematik
  • 2013-2016 Bachelor of Science Wirtschaftsmathematik

  • Data Science
  • Machine Learning
  • Anwendungen der Künstlichen Intelligenz im Geschäftsprozessmanagement
  • Anwendungen der Künstlichen Intelligenz in der Analyse geldpolitischer Kommunikation

Publikationen

  • Geiger, F., Kanelis, D., Lieberknecht, P., Sola, D. (2025). Monetary-Intelligent Language Agent (MILA). Technical Paper, Bundesbank Publications.
  • Amiri Elyasi, K., Sola, D., Meilicke, C., van der Aa, H., & Stuckenschmidt, H. (2024). Knowledge graph completion for activity recommendation in business process modeling. KI-Künstliche Intelligenz, 1-15.
  • Sola, D. (2023). Recommending activities for business process models. Dissertation, University of Mannheim.
  • Busch, K., Rochlitzer, A., Sola, D., & Leopold, H. (2023). Just tell me: Prompt engineering in business process management. In International Conference on Business Process Modeling, Development and Support (pp. 3-11). Cham: Springer Nature Switzerland.
  • Sola, D., van der Aa, H., Meilicke, C., & Stuckenschmidt, H. (2023). Activity recommendation for business process modeling with pre-trained language models. In European Semantic Web Conference (pp. 316-334). Cham: Springer Nature Switzerland.
  • Sola, D., Warmuth, C., Schäfer, B., Badakhshan, P., Rehse, J. R., & Kampik, T. (2022). Sap signavio academic models: a large process model dataset. In International Conference on Process Mining (pp. 453-465). Cham: Springer Nature Switzerland.
  • Sola, D., van der Aa, H., Meilicke, C., & Stuckenschmidt, H. (2022). Exploiting label semantics for rule-based activity recommendation in business process modeling. Information Systems, 108, 102049.
  • Sola, D., Meilicke, C., Aa, H. V. D., & Stuckenschmidt, H. (2022). On the Use of Knowledge Graph Completion Methods for Activity Recommendation in Business Process Modeling. In Business Process Management Workshops: BPM 2021 International Workshops, Rome, Italy, September 6–10, 2021, Revised Selected Papers (Vol. 436, p. 5). Springer Nature.
  • Sola, D., Meilicke, C., van der Aa, H., & Stuckenschmidt, H. (2021). A rule-based recommendation approach for business process modeling. In International Conference on Advanced Information Systems Engineering (pp. 328-343). Cham: Springer International Publishing.
  • Sola, D. (2021). Towards a Rule-Based Recommendation Approach for Business Process Modeling. In Service-Oriented Computing–ICSOC 2020 Workshops: AIOps, CFTIC, STRAPS, AI-PA, AI-IOTS, and Satellite Events, Dubai, United Arab Emirates, December 14–17, 2020, Proceedings (Vol. 12632, p. 25). Springer Nature.

Patente

  • Semantic-aware rule-based recommendation for process modeling. D. Sola, A. Gerber - US Patent App. 17/688,528, 2023
  • Business process modeling recommendation engine. A. Gerber, D. Sola - US Patent 11,816,617, 2023
  • Recommendation Approach for Modeling of Processes. D. Sola, A Gerber - US Patent App. 18/341,289, 2024