Boudewijn van Dongen

Boudewijn’s research focusses on conformance checking. Conformance checking is considered to be anything where observed behavior, needs to be related to already modeled behavior. Conformance checking is embedded in the larger contexts of Business Process Management and Process Mining. Boudewijn aims to develop techniques and tools to analyze databases and logs of large-scale information systems for the purpose of detecting, isolating, diagnosing and predicting misconformance in the business processes supported by these systems. The notion of alignments play a seminal role in conformance checking and the PA group is world-leading in the definition of alignments for various types of observed behavior and for various modelling languages.

Position: HGL
Room: MF 7.103
Tel (internal): 2181
Links: Courses
External assignments
Presentations
Projects
Publications
External links: Google scholar page
Scopus page
ORCID page
DBLP page
TU/e page

Recent courses

  • 2IMI05 – Capita selecta architecture of information systems - Links 2IMI05 @ Osiris Staff involved
  • 2IMI35 Introduction to process mining - Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis. Process mining bridges the gap between traditional model-based Read More ...
  • 2IIH0 Process Modelling and Simulation - Processes are everywhere in organizations and modern life is often governed by all kinds of processes, ranging from administrative processes to handle admission to a university to logistic processes to handle packages being delivered to customers who ordered online. Especially in administrative processes, concurrency plays an important role as multiple things can happen in parallel Read More ...

Recent external assignments

  • Mercedes-Benz Customer Assistance Center in Maastricht - Mercedes-Benz are well recognized as industry leaders in luxury service and high quality products, pushing the meaning of automobile excellence to new boundaries. You can trace the timeline of Mercedes-Benz all the way back to 1885 when Karl Benz invented the first automobile – cementing Mercedes-Benz a place in history. We know what you’re thinking, Read More ...
  • Do CHANGE project with Onmi Design - Onmi Design is currently working on the Do CHANGE project, funded in the Horizon 2020 program from the European Commission. In this project they are developing a health ecosystem that provides real-time behaviour change coaching based on input from various sensors. The student would assist in the development of analysis algorithms and integration of these Read More ...

Recent presentations

Recent projects

  • 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 ...
  • Process Mining in Logistics - Process Mining in Logistics is a joint project of the Data Science Center Eindhoven and Vanderlande industries. Description Logistics processes are notoriously difficult to design, analyze, and to improve. Where classical processes are scoped around the processing of information associated to a specific unique case, logistics deals with physical objects that are grouped and processed 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 ...
  • DeLiBiDa - Desire Lines in Big Data Description The goal of process mining is to extract process-related information from event logs, e.g., to automatically discover a process model by observing events recorded by some information system. Despite recent advances in process mining there are still important challenges that need to be addressed. In particular with respect to Read More ...
  • BPR4GDPR - Business Process Re-engineering for General Data Protection Regulation Description The goal of BPR4GDPR is to provide a holistic framework able to support end-to-end GDPR-compliant intra- and interorganisational ICT-enabled processes at various scales, while also being generic enough, fulfilling operational requirements covering diverse application domains. To this end, proposed solutions will have a strong semantic foundation Read More ...
  • 3TU.BSR - 3TU – Big Software on the Run Description Millions of lines of code – written in different languages by different people at different times, and operating on a variety of platforms – drive the systems performing key processes in our society. The resulting software needs to evolve and can no longer be controlled a priori Read More ...

Recent publications

  • Conformance checking: relating processes and models, relating processes and models - Carmona, J., van Dongen, B., Solti, A., & Weidlich, M. (2018). Conformance checking: relating processes and models, relating processes and models. Cham: Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-99414-7 Abstract This book introduces readers to the field of conformance checking as a whole and outlines the fundamental relation between modelled and recorded behaviour. Conformance checking interrelates the Read More ...
  • A tour in process mining: from practice to algorithmic challenges - van der Aalst, W., Carmona, J., Chatain, T., & van Dongen, B. (2019). A tour in process mining: from practice to algorithmic challenges. In M. Koutny, L. Pomello, & L. M. Kristensen (Eds.), Transactions on Petri Nets and Other Models of Concurrency XIV (pp. 1-35). (Lecture Notes in Computer Science (including subseries Lecture Notes in Read More ...
  • Computing alignments of event data and process models - van Zelst, S. J., Bolt, A., & van Dongen, B. F. (2018). Computing alignments of event data and process models. In M. Koutny, L. M. Kristensen, & W. Penczek (Eds.), Transactions on Petri Nets and Other Models of Concurrency XIII (pp. 1-26). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Read More ...
  • Process mining with streaming data - van Zelst, S. J. (2019). Process mining with streaming data Eindhoven: Technische Universiteit Eindhoven
  • Software data analytics: architectural model discovery and design pattern detection - Liu, C. (2019). Software data analytics: architectural model discovery and design pattern detection Eindhoven: Technische Universiteit Eindhoven
  • Improving alignment computation using model-based preprocessing - Syamsiyah, A., & van Dongen, B. F. (2019). Improving alignment computation using model-based preprocessing. In Proceedings – 2019 International Conference on Process Mining, ICPM 2019 (pp. 73-80). [8786043] Piscataway: Institute of Electrical and Electronics Engineers. DOI: 10.1109/ICPM.2019.00021 Abstract Alignments are a fundamental approach in conformance checking to provide an explicit relation between traces of events Read More ...
  • Efficiently computing alignments: algorithm and datastructures - van Dongen, B. F. (2019). Efficiently computing alignments: algorithm and datastructures. In F. Daniel, Q. Z. Sheng, & H. Motahari (Eds.), Business Process Management Workshops – BPM 2018 International Workshops, Revised Papers (pp. 44-55). (Lecture Notes in Business Information Processing; Vol. 342). Springer. DOI: 10.1007/978-3-030-11641-5_4 Abstract Conformance checking is considered to be anything where observed Read More ...
  • Detecting behavioral design patterns from software execution data - Liu, C., van Dongen, B. F., Assy, N., & van der Aalst, W. M. P. (2019). Detecting behavioral design patterns from software execution data. In E. Damiani, G. Spanoudakis, & L. A. Maciaszek (Eds.), Evaluation of Novel Approaches to Software Engineering – 13th International Conference, ENASE 2018, Revised Selected Papers (pp. 137-164). (Communications in Computer Read More ...
  • A general framework to identify software components from execution data - Liu, C., van Dongen, B. F., Assy, N., & van der Aalst, W. M. P. (2019). A general framework to identify software components from execution data. In G. Spanoudakis, E. Damiani, L. Maciaszek, & L. Maciaszek (Eds.), ENASE 2019 – Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering (pp. Read More ...
  • Software architectural model discovery from execution data - Liu, C., van Dongen, B. F., Assy, N., & van der Aalst, W. M. P. (2018). Software architectural model discovery from execution data. In ENASE 2018 – Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering (pp. 3-10) Abstract During the execution of software systems, many crashes and exceptions may Read More ...

 

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