| Position: | UD |
| Room: | MF 7.119 |
| Tel (internal): | |
| Links: | |
| External links: | Google Scholar page Scopus page TU/e page |
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
- Foundations of Data Analytics (2IAB1) 2024-2025 - General learning goals Use basic statistical concepts and techniques and perform appropriate statistical testsChoose and apply suitable visualization techniquesAnalyze and model data using linear regression, clustering, decision tree mining and association rules learningRead and make simple database schemes and simple queries to a database.Clean data, choose and apply data transformations, data reduction, and data discretizationUnderstand, Read More ...
- DBL Data Challenge (JBG030) 2024-2025 - Objectives Non Bachelor Data Science wanting to register for this course should reach out to program management via mcs.academic.advisor.bds@tue.nl for formal approval After taking the course, students are able to independently apply and follow established data science research methods for a given problem and data set access, process, and reason about a large, complex dataset given 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
- 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 ...