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Research profile
Boudewijn van Dongen is a full Professor in computer science and chair of the Process Analytics group at Eindhoven University of Technology (TU/e). The research group distinguishes itself in the Information Systems discipline by its fundamental focus on modeling, understanding, analyzing, and improving processes. Boudewijn’s research focuses on conformance checking: anything where observed behavior needs to be related to previously 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 AIS group is world-leading in the definition of alignments for various types of observed behavior and for various modelling languages. Next to the theoretical foundations, he also develops the tools to actually measure conformance. These tools are typically implemented in Java in the open-source framework ProM.
Academic background
Boudewijn van Dongen obtained his MSc in Computer Science and his PhD in Process Mining and Verification from TU/e in 2003 and 2007 respectively. He is playing a leading role in several projects set up with his group. These include develop new techniques to deal with massive event data, developing novel techniques and tools to analyze software systems in vivo, a long-term strategic cooperation with Philips Research Eindhoven on data science, health and lighting and process mining in logistics at logistics company Vanderlande.
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Projects
- 1 Active
Business Process Re-engineering and functional toolkit for GDPR compliance
van Dongen, B. F., Hassani, M., Medeiros de Carvalho, R., van Dongen, B. F., Verbeek, H. M. W. (., Zaman, R. & Mozafari Mehr, A.
1/05/18 → 30/04/21
Project: Research direct
Research Output
Enabling efficient process mining on large data sets: realizing an in-database process mining operator
Dijkman, R., Gao, J., Syamsiyah, A., van Dongen, B., Grefen, P. & ter Hofstede, A., 1 Mar 2020, In : Distributed and Parallel Databases. 38, 1, p. 227-253 27 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
A general framework to identify software components from execution data
Liu, C., van Dongen, B. F., Assy, N. & van der Aalst, W. M. P., 5 May 2019, ENASE 2019 - Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering. Spanoudakis, G., Damiani, E., Maciaszek, L. & Maciaszek, L. (eds.). SCITEPRESS-Science and Technology Publications, Lda., p. 234-241 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access
A tour in process mining: from practice to algorithmic challenges
van der Aalst, W., Carmona, J., Chatain, T. & van Dongen, B., 1 Jan 2019, Transactions on Petri Nets and Other Models of Concurrency XIV. Koutny, M., Pomello, L. & Kristensen, L. M. (eds.). Springer, p. 1-35 35 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11790 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Detecting behavioral design patterns from software execution data
Liu, C., van Dongen, B. F., Assy, N. & van der Aalst, W. M. P., 29 Jun 2019, Evaluation of Novel Approaches to Software Engineering - 13th International Conference, ENASE 2018, Revised Selected Papers. Damiani, E., Spanoudakis, G. & Maciaszek, L. A. (eds.). Cham: Springer, p. 137-164 28 p. (Communications in Computer and Information Science; vol. 1023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Efficiently computing alignments: algorithm and datastructures
van Dongen, B. F., 29 Jan 2019, Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. Daniel, F., Sheng, Q. Z. & Motahari, H. (eds.). Springer, p. 44-55 12 p. (Lecture Notes in Business Information Processing; vol. 342).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Datasets
BPI Challenge 2016
van Dongen, B. F. (Creator), Dees, M. (Creator), UWV, 22 Apr 2016
DOI: 10.4121/uuid:360795c8-1dd6-4a5b-a443-185001076eab
Dataset
Courses
Student theses
A benchmark set for process discovery algorithms
Author: van Arendonk, R., 30 Apr 2011Supervisor: van Dongen, B. (Supervisor 1)
Student thesis: Master
File
A comparison of Android Native App Architecture: MVC, MVP and MVVM
Author: Lou, T., 31 Oct 2016Supervisor: van Dongen, B. (Supervisor 1) & Saikonnen, H. (External person) (External coach)
Student thesis: Master
File
Alignment-based process model repair and its application to the evolutionary tree miner
Author: van Eck, M., 31 Dec 2013Supervisor: van Dongen, B. (Supervisor 1), Fletcher, G. (Supervisor 2) & Wilbik, A. (Supervisor 2)
Student thesis: Master
File
A multi-aspect reference architecture for a business process cloud platform
Author: Stoitsev, V., 31 Dec 2012Supervisor: Grefen, P. (Supervisor 1), van Dongen, B. (Supervisor 2) & van der Starre, E. (External person) (External coach)
Student thesis: Master
File
Anomaly detection on event logs: an unsupervised algorithm on iXR-messages
Author: Severins, J., 30 Jun 2016Supervisor: van Dongen, B. (Supervisor 1)
Student thesis: Master
File