Francesca Zerbato

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Position:UD
Room:MF 7.061
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Francesca Zerbato received her Ph.D. from the Department of Computer Science at the University of Verona (Italy). Her thesis focused on the modeling of temporal aspects and data in business process models under the supervision of Prof. Carlo Combi. After her Ph.D., she joined the Software Systems Programming and Development group of Prof. Dr. Barbara Weber at the University of St. Gallen (Switzerland) as a senior researcher. During her time in St. Gallen, Francesca mainly contributed to the research project “ProMiSE: Process Mining Support for End-Users”, funded by the Swiss National Science Foundation (SNSF) and running until the end of 2024. The main focus of the project is to understand the behavior of (process) analysts through the analysis of multimodal data and, based on the empirical findings, to develop methodological and software-based support for process analysts. She is currently an Assistant Professor at Eindhoven University of Technology – Data Science Domain – Process Analytics cluster. Francesca works under the supervision of Dirk Fahland and plans to continue her research on the design, development and evaluation of interactive tools and software artifacts that can support the real needs of human analysts when dealing with complex and knowledge-intensive tasks such as data sense-making.

Recent courses

  • Fundamentals of Process Mining (JBI060) 2026-2027 - Objectives The main learning objective of FPM is to be able to understand the relation between sequential multi-variate event data and processes and, ultimately, to learn how to properly apply data science methods in the context of processes. Specifically, the following learning objectives are intended:  to be able to identify challenges and requirements for using Read More ...
  • Fundamentals of Process Mining (JBI060) 2025-2026 - Objectives The main learning objective of FPM is to be able to understand the relation between sequential multi-variate event data and processes and, ultimately, to learn how to properly apply data science methods in the context of processes. Specifically, the following learning objectives are intended:  to be able to identify challenges and requirements for using Read More ...

Recent external assignments

Recent assignments

  • Explainable Process Analytics - Have you ever analyzed some event data and wondered if the steps you take impact the results you get?Or whether the result you obtain match what you expected to find? These are common challenges faced by process mining analysts, who analyze large sets of event data to gain insights into how business processes are executed. Read More ...

Recent presentations

Recent projects

  • AutoTwin - Description The AutoTwin project addresses the technological shortcoming and economic liability of the development and usage of digital twins that are accepted as the accelerator and enabler of Circular Economy in businesses and production by conduction research in 3 areas: introducing a breakthrough method for automated process-aware discovery towards autonomous Digital Twins generation, to support Read More ...

Recent publications

  • Object-centric process management: A research manifesto - Seidel, A., Weske, M., Montali, M., Rivkin, A., Reichert, M., van der Werf, J. M. E. M., van der Aalst, W. M. P., Breitmayer, M., Liss, L., van Detten, J. N., Jalali, A., Khayatbashi, S., König, M., Lichtenstein, T., Rinderle-Ma, S., Weber, B., Soffer, P., Rossi, L., Calegari Garcia, D., Delgado, A., Dijkman, R., Winkler, Read More ...
  • Why Do Users Struggle to Get Insights from Process Mining? - Tentina, I., Zerbato, F., Mannhardt, F., & van Dongen, B. F. (2025). Why Do Users Struggle to Get Insights from Process Mining? In J. De Weerdt, J.-R. Rehse, & H. Reijers (Eds.), 2025 7th International Conference on Process Mining, ICPM 2025 Article 11220617 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICPM66919.2025.11220617 (best student paper award) Abstract Read More ...
  • Can Users Trust Process Mining? - Tentina, I., Mannhardt, F., Zerbato, F., & van Dongen, B. (2025). Can Users Trust Process Mining? In K. Wecel (Ed.), Business Information Systems: 25th International Conference, BIS 2025, Poznań, Poland, June 25–27, 2025, Proceedings (pp. 137-151). (Lecture Notes in Business Information Processing (LNBIP); Vol. 554). Springer. https://doi.org/10.1007/978-3-031-94193-1_11 Abstract Process mining enables organizations to gain insights Read More ...
  • The biggest business process management problems to solve before we die - Beerepoot, I., Di Ciccio, C., Reijers, H. A., Rinderle-Ma, S., Bandara, W., Burattin, A., Calvanese, D., Chen, T., Cohen, I., Depaire, B., Di Federico, G., Dumas, M., van Dun, C., Fehrer, T., Fischer, D. A., Gal, A., Indulska, M., Isahagian, V., Klinkmüller, C., … Zerbato, F. (2023). The biggest business process management problems to solve Read More ...

Recent awards

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