Profile

  • Since 2026 Professor of Data Science and Artificial Intelligence
  • 2023-2025 Data Scientist specializing in Artificial Intelligence, Deutsche Bundesbank, Frankfurt am Main
  • 2019-2023 PhD Student at the intersection of business process management, machine learning and natural language processing, SAP, Walldorf

Degrees

  • Dr. rer. nat., Chair of Artificial Intelligence, University of Mannheim
  • M. Sc. Mathematics in Business and Economics, University of Mannheim
  • B. Sc. Mathematics in Business and Economics, University of Mannheim

 

  • Data Science
  • Artificial Intelligence
  • Machine Learning
  • Natural Language Processing and Large Language Models
  • Business Process Management
  • Business Informatics

 

Applications of Artificial Intelligence, e.g., in Business Process Management or in the analysis of Monetary Policy Communications.

  • Geiger, F., Kanelis, D., Lieberknecht, P., Sola, D. (2026). KI-gestützte Analyse geldpolitischer Kommunikation. In Künstliche Intelligenz für Business Analytics (pp. 227-240). dpunkt.verlag.
  • Geiger, F., Kanelis, D., Lieberknecht, P., Sola, D. (2025). Monetary-Intelligent Language Agent (MILA). In 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. In Künstliche Intelligenz, 39 (pp. 181-195).
  • 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). Springer Nature.
  • 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). Springer Nature.
  • Sola, D., Warmuth, C., Schäfer, B., Badakhshan, P., Rehse, J. R., & Kampik, T. (2022). Sap signavio academic models: a large process model dataset. In Process Mining Workshops: ICPM 2022 (pp. 453-465). Springer Nature.
  • Sola, D., van der Aa, H., Meilicke, C., & Stuckenschmidt, H. (2022). Exploiting label semantics for rule-based activity recommendation in business process modeling. In 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 (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). Springer.
  • Sola, D. (2021). Towards a Rule-Based Recommendation Approach for Business Process Modeling. In Service-Oriented Computing–ICSOC 2020 Workshops (Vol. 12632, p. 25). Springer Nature.

Patents

  • 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