Irina obtained her M.Sc. degree at the Department of Informatics and Applied Mathematics at Saint-Petersburg National Research University of Information Technologies, Mechanics and Optics (Saint-Petersburg, Russia). Her M.Sc. dissertation was carried out on the topic “Developing Methods for Analyzing Business Processes with the use of R Language”.
She obtained her master’s degree in 2018. During and after her studies she worked as Senior IT Consultant at KPMG (from 2017 till 2021) and then as Process Mining Expert/Knowledge Management Lead at DataLane (from 2021 till 2024). She also has a lecturing and teaching experience in university and business setups.
Currently, she started as a Ph.D. student at Eindhoven University of Technology – Data Science
Domain – Process Analytics cluster. Irina works on the Process Mining project under the supervision of Felix Mannhardt and Boudewijn van Dongen.
| Position: | PhD-TA |
| Room: | MF 7.117 |
| Tel (internal): | |
| Links: | |
| External links: | TU/e page |
Recent courses
- DBL Data Challenge (JBG030) 2025-2026 - 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 approvalAfter taking the course, students are able to Content 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
Recent presentations
Recent projects
Recent publications
- 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 ...
- Decomposing Process Performance based on Actor Behavior - Klijn, E. L., Tentina, I., Fahland, D., & Mannhardt, F. (2024). Decomposing Process Performance based on Actor Behavior. In X. Lu, L. Pufahl, & M. Song (editors), 2024 6th International Conference on Process Mining, ICPM 2024 (blz. 129-136). Artikel 10680657 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICPM63005.2024.10680657 Abstract Process performance analysis based on event logs Read More ...
Recent awards
- Best Paper Award for Irina Tentina, Iris Beerepoot, Xixi Lu, Hajo Reijers, Boudewijn van Dongen and Vinicius Stein Dani - Irina Tentina, Iris Beerepoot, Xixi Lu, Hajo Reijers, Boudewijn van Dongen and Vinicius Stein Dani have received the Best Paper Award At the EduPM 2025 workshop at ICPM 2025 with the paper titled “Challenges in Teaching Process Mining: Insights from Process Mining Educators”. Congratulations to Irina, Iris, Xixi, Hajo, Boudewijn and Vinicius!
- Best Student Paper Award for Irina Tentina, Francesca Zerbato, Felix Mannhardt and Boudewijn van Dongen - Irina Tentina, Francesca Zerbato, Felix Mannhardt and Boudewijn van Dongen have received the Best Student Paper Award at ICPM 2025 for their paper titled “Who do users struggle to get insights out of Process Mining?”. Congratulations to Irina, Francesca, Felix and Boudewijn!