Natalia Sidorova

Posted onAuthorEric VerbeekLeave a comment

Dr. Natalia Sidorova is assistant professor at the PA group. She actively works on topics related to process modeling and verification. The application domains include business processes and distributed systems. She has published more than 70 conference and journal papers. She is active in the Health and Wellbeing Action Line of EIT ICT Labs, taking lead of projects towards the development of innovative services for disease prevention making use of modern sensor technologies together with mining, conformance analysis, prediction and recommendation techniques.

Position: UD
Room: MF 7.063
Tel (internal): 3705
Links: Courses
External assignments
Presentations
Projects
Publications
External links: Personal home page
Google scholar page
Scopus page
ORCID page
DBLP page
TU/e page

Recent courses

Recent external assignments

Recent presentations

Recent projects

  • Conformance Checking: Timed, Stochastic, and Systemic Trace Insights - Conformance checking helps us understand how well the process behavior recorded in event logs matches the process behavior prescribed by a process model. The goal of this project is to advance conformance checking methods by integrating timed and stochastic aspects of process behavior and optimizing alignments across entire event logs. We will:
  • Improving Conformance Checking Algorithms with Ground Truth-Driven Insights - Conformance checking helps us understand how well the process behavior recorded in event logs matches the process behavior prescribed by a process model. The goal of this project is to improve conformance checking methods by using a more reliable way of evaluating and validating them. We will:
  • AIDE: AI Driving Education - Background and General Information AIDE (AI Driving Education) responds to the growing presence of large language model (LLM) tools like ChatGPT, Cursor, and Copilot in academic environments. These tools are increasingly used by students, influencing both how they learn and how their work is assessed. The proposal addresses this shift by embedding responsible AI tool Read More ...
  • Certif-AI - Certif-AI: Certification of production process quality through Artificial Intelligence Description Production processes can be made ‘smarter’ by exploiting the data streams that are generated by the machines that are used in production. In particular these data streams can be mined to build a model of the production process as it was really executed – as Read More ...
  • TACTICS - TACTICS – Techniques for the Analysis of Client-Team InteraCtionS Description In various care and service settings (e.g. mental healthcare, youth care, social work), teams of professionals interact with clients to improve their well-being. The TACTICS project aims at the development of automated techniques to generate insights into the evolving statuses of such clients as well Read More ...
  • Philips Flagship - Description The Data Science Centre Eindhoven (DSC/e) is TU/e’s response to the growing volume and importance of data and the need for data & process scientists (http://www.tue.nl/dsce/). The DSC/e has recently started a long-term strategic cooperation with Philips Research Eindhoven on three topics: data science, health and lighting. As a first concrete action, 70 PhD Read More ...

Recent publications

  • Uncharted Workflows: Process Mining Perspectives in Health - Sidorova, N., & Medeiros de Carvalho, R. (2026). Uncharted Workflows: Process Mining Perspectives in Health. In J. Mendling, S. Leemans, B. F. van Dongen, & H. Reijers (Eds.), Mining a Scientist’s Process: Essays Dedicated to Wil van der Aalst on the Occasion of His 60th Birthday (pp. 648-661). (Lecture Notes in Computer Science (LNCS); Vol. 16480). Read More ...
  • In system alignments we trust! Explainable alignments via projections - Sommers, D., Sidorova, N., & van Dongen, B. (2026). In system alignments we trust! Explainable alignments via projections. Information Systems, 136, Article 102631. https://doi.org/10.1016/j.is.2025.102631 Abstract Alignments are a well-known process mining technique for reconciling system logs and normative process models. Evidence of certain behaviors in a real system may only be present in one representation Read More ...
  • A Ground Truth Approach for Assessing Process Mining Techniques - Sommers, D., Sidorova, N., & van Dongen, B. F. (2025). A Ground Truth Approach for Assessing Process Mining Techniques. arXiv.org. https://doi.org/10.48550/arXiv.2501.14345 Abstract The assessment of process mining techniques using real-life data is often compromised by the lack of ground truth knowledge, the presence of non-essential outliers in system behavior and recording errors in event logs. Read More ...
  • Illuminating Perspectives of Deviations in Process Behavior - Sommers, D. (Accepted/In press). Illuminating Perspectives of Deviations in Process Behavior. [Phd Thesis 1 (Research TU/e / Graduation TU/e), Mathematics and Computer Science]. Eindhoven University of Technology.
  • Exact and Approximated Log Alignments for Processes with Inter-case Dependencies - Sommers, D., Sidorova, N., & van Dongen, B. F. (2023). Exact and Approximated Log Alignments for Processes with Inter-case Dependencies. arXiv, 2023, Article 2304.05210. https://doi.org/10.48550/arXiv.2304.05210 Abstract The execution of different cases of a process is often restricted by inter-case dependencies through e.g., queueing or shared resources. Various high-level Petri net formalisms have been proposed that Read More ...
  • Aligning Event Logs to Resource-Constrained ν-Petri Nets - Sommers, D., Sidorova, N., & van Dongen, B. (2022). Aligning Event Logs to Resource-Constrained ν-Petri Nets. In L. Bernardinello, & L. Petrucci (Eds.), Application and Theory of Petri Nets and Concurrency – 43rd International Conference, PETRI NETS 2022, Proceedings (pp. 325-345). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Read More ...
  • Signal Phrase Extraction: Gateway to Information Retrieval Improvement in Law Texts - Sidorova, N., & van der Veen, M. (2021). Signal Phrase Extraction: Gateway to Information Retrieval Improvement in Law Texts. In E. Schweighofer (Ed.), Legal Knowledge and Information Systems – JURIX 2021: The 34th Annual Conference (pp. 127-130). (Frontiers in Artificial Intelligence and Applications; Vol. 346). IOS Press. https://doi.org/10.3233/FAIA210327 Abstract NLP-based techniques can support in improving Read More ...
  • Designing Micro-intelligences for Situated Affective Computing - Lövei, P., Nazarchuk, I., Aslam, S., Yu, B., Megens, C. J. P. G., & Sidorova, N. (2021). Designing Micro-intelligences for Situated Affective Computing. In R-H. Liang, A. Chiumento, P. Pawełczak, & M. Funk (Eds.), CHIIOT 2021: Workshops on Computer Human Interaction in IoT Applications Abstract In this position paper we show how micro-intelligences can be Read More ...
  • Mining process model descriptions of daily life through event abstraction - Tax, N., Sidorova, N., Haakma, R., & van der Aalst, W. M. P. (2018). Mining process model descriptions of daily life through event abstraction. In S. Kapoor, R. Bhatia, & Y. Bi (Eds.), Intelligent Systems and Applications: Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2016 (pp. 83-104). (Studies in Computational Intelligence; Read More ...
  • Event abstraction for process mining using supervised learning techniques - Tax, N., Sidorova, N., Haakma, R., & van der Aalst, W. M. P. (2018). Event abstraction for process mining using supervised learning techniques. In Y. Bi, S. Kapoor, & R. Bhatia (Eds.), Proceedings of the SAI Intelligent Systems Conference (IntelliSys 2016), 21-22 September 2016, London, United Kingdom (pp. 251-269). (Lecture Notes in Networks and Systems; Read More ...

Leave a Reply