Dirk Fahland

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Dirk is Associate Professor (UHD) in the PA group. He completed his PhD with summa cum laude at Humboldt-Univeristät zu Berlin and Eindhoven University of Technology in 2010. His research interests include distributed processes and systems built from distributed components for which he investigates modeling systems (using process modeling languages, Petri nets, or scenario-based techniques), analyzing systems for errors or misconformances (through verification or simulation), and process mining/specification mining techniques for discovering system models from event logs. He particularly focuses on distributed system with multi-instance characteristics and their synchronizing and interacting behaviors. Dirk published his research results in over 40 articles at international conferences and journals and implemented them in a number of software tools.

Position: UD
Room: MF 7.066
Tel (internal): 4804
Links: Courses
External assignments
Presentations
Projects
Publications
External links: Personal home page
Google scholar page
Scopus page
DBLP page
TU/e page

Awards

Recent courses

  • DBL Data Challenge (JBG030) 2026-2027 - 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 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
  • Advanced Process Mining (2AMI20) 2026-2027 - Objectives After taking this course students should be able to: have a detailed understanding of the entire process mining spectrum and the methodology for process mining analysis
  • Capita Selecta Process Analytics (2IMI05) 2026-2027 - Objectives Acquire state-of-the-art scientific knowledge of a particular topic in the information systems domain. Typical topics are process modeling, workflow management, process mining, web services, service oriented architectures, language transformations, etc. Content People interested in the ‘process side’ of information systems can take the course ‘Capita selecta architecture of information systems’. This course will be Read More ...
  • 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 approval After 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
  • Advanced Process Mining (2AMI20) 2025-2026 - Objectives After taking this course students should be able to: have a detailed understanding of the entire process mining spectrum and the methodology for process mining analysis
  • Responsible Data Challenge (2AMR10) 2025-2026
  • Capita Selecta Process Analytics (2IMI05) 2025-2026 - Objectives Acquire state-of-the-art scientific knowledge of a particular topic in the information systems domain. Typical topics are process modeling, workflow management, process mining, web services, service oriented architectures, language transformations, etc. Content People interested in the ‘process side’ of information systems can take the course ‘Capita selecta architecture of information systems’. This course will be Read More ...

Recent assignments

  • Process Mining using Graph Neural Network - Process Mining is increasingly shifting to graph-based representations of event data, enabling the application of Graph Neural Networks (GNNs) for various process mining tasks. Recent Master projects developed the first GNN-based process discovery algorithm which trains a GNN to translate an event log into a process model. The GNN achieves state-of-the-art performance in terms of Read More ...
  • Generating Actionable Insights using Object-Centric Process Mining (Visual Analytics, Root-Cause Analysis, Agentic AI) - Industrial practice requires process mining techniques to not just produce models, dashboard, and data visualizations, but to help analysts get insightful answers to relevant questions. The emerging paradigm of object-centric process mining allows a new way to generate such insightful answers by embedding process mining results in the original domain data and context where the Read More ...
  • Realizing High-Performance Object-Centric Event Data - The process mining field is exploring a new data model for event data called “object-centric event data” (OCED). In this data model, events are not partitioned under a unique case identifier, but each event is related to a number of data objects that can also be related to each other. The resulting data model essentially Read More ...
  • Event Knowledge Graphs using RDF and SPARQL - The process mining field recently has adopted a graph-based approach for modeling and reasoning over event data using labeled property graphs. From a process mining perspective, events are related to the various objects and entities involved in a process, providing a more realistic description of actual process dynamics in relation to domain concepts. From knowledge Read More ...
  • Mining processes, social networks, and queues (multiple projects) - A recent visual analytics technique called the “Performance Spectrum” https://github.com/processmining-in-logistics/psm allows us to gain more fine-grained insights into performance behavior and changes over time. A TU/e Master student showed that it is possible to mine synchronization of cases from the performance spectrum data showing that the behavior of a case depends on the mechanisms and Read More ...

Recent external assignments

  • Improving quality processes of Philips business units - Problem statement Important feedback on the quality status of Philips equipment in the field comes from customer complaints, software logs, service notes, and replaced parts. Millions of records are collected worldwide. To identify improvement opportunities, data is captured, monitored, and analysed. Philips has started using AI agents to make such data analysis more effective and Read More ...
  • Object-Centric Process Mining (OCPM) with ARIS - Summary Are you passionate about process mining, data-driven decision making, and cutting-edgevisual analytics? Join us in an exciting collaboration with ARIS, a global leader in ProcessIntelligence, to develop innovative solutions in Object-Centric Process Mining (OCPM).You’ll gain hands-on experience with real-world business questions, contribute to theevolution of a widely-used process mining tool, learn and work with Read More ...
  • Object-Centric Process Mining for Reducing CO2 footprint in Steel Production - At Tata Steel Packaging we manufacture so called tinplate. In a nutshell, steel coils of about 20 tons enter our factory at the pickling line. After cold rolling, annealing and secondary rolling they get tinned in our tinning lines before being shipped to our customers.  Assignment description  It is clear to anybody what the ‘happy Read More ...
  • Root-cause performance analysis in multiple process dimensions - Description Reliable analysis of performance problems and their Root Causes (RCs) requires understanding if a case was delayed by other cases in employees’ or teams’ queues of the same process and/or by cases of other processes. The former is described by the multiple execution single object process dimension, and the latter by the single execution Read More ...
  • Speed up data engineering for process mining in practice - You’ve learned about process mining during your courses, but how much do you know about creating the event log for process mining? In business, creating the event log required for process mining is one of the most time-intensive, most complex parts of a process mining project. At Konekti, we’ve built a platform that simplifies and Read More ...
  • Understanding the value of Event Knowledge Graphs when applied in the Product Configuration Change Process - This Master project is offered by the Configuration Management department of ASML and was developed together with EAISI (Eindhoven Artificial Intelligence Systems Institute, https://eaisi.tue.nl/). Background information Department: Configuration Management If the journey regarding overlapping changes (multiple changes impacting the same item within the same timeframe) has taught is one thing, it is that the analysis Read More ...
  • Develop a Query Language for Event Data of Many Interacting Processes - Hoekenrode 3, Amsterdam, Netherlands Region: EMEA – Europe, Middle East and Africa Company Description ServiceNow is making the world of work, work better for people. Our cloud‑based platform and solutions deliver digital workflows that create great experiences and unlock productivity for employees and the enterprise. We’re growing fast, innovating faster, and making an impact on Read More ...
  • Process Mining for “Thinking Assistants” in Logistics - Summary In the context of the “Process Mining in Logistics” research project between Vanderlande Industries, we are offering multiple Master projects aimed at laying the foundations for a “Thinking Assistant” for large-scale material handling systems.  Such a “Thinking Assistant” shall support engineers and operators in faster identifying problems and root-causes, predicting possible problems, and proposing Read More ...
  • Advanced Process Mining techniques in Practice (several Master projects with ProcessGold) - ProcessGold is a software supplier bringing together Process Mining and Business Intelligence, driven by highly skilled ICT entrepreneurs and backed by a wealth of experience. ProcessGold recently released a new Process Mining platform, the ProcessGold Enterprise Platform, that combines data extraction, process mining techniques, and visual analytics in order to produce dynamic visual reports which 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 ...
  • 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 ...

Recent publications

  • Object-centric process management: A research manifesto - Seidel, A., Weske, M., Montali, M., Rivkin, A., Reichert, M., van der Werf, J. M. E. M., van der Aalst, W. M. P., Breitmayer, M., Liss, L., van Detten, J. N., Jalali, A., Khayatbashi, S., König, M., Lichtenstein, T., Rinderle-Ma, S., Weber, B., Soffer, P., Rossi, L., Calegari Garcia, D., Delgado, A., Dijkman, R., Winkler, Read More ...
  • What is an Object-Centric Case? An Exploration - Fahland, D., & Montali, M. (2026). What is an Object-Centric Case? An Exploration. 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. 398-425). (Lecture Notes in Computer Science; Vol. 16480 LNCS). Springer. https://doi.org/10.1007/978-3-032-17618-9_28 Read More ...
  • MANTA: Materializing Views on Event Data for Context Exploration in Process Analysis - Basmer, M., Ueck, H., Fahland, D., & Weidlich, M. (2025). MANTA: Materializing Views on Event Data for Context Exploration in Process Analysis. In A. Senderovich, C. Cabanillas, I. Vanderfeesten, & H. A. Reijers (Eds.), Business Process Management: 23rd International Conference, BPM 2025, Seville, Spain, August 31 – September 5, 2025, Proceedings (pp. 51-68). (Lecture Notes in Computer Science Read More ...
  • From Process Mining to Thinking Assistants in Logistics - van Montfort, J., Bernard, H. F., & Fahland, D. (2025). From Process Mining to Thinking Assistants in Logistics. In J. vom Brocke, J. Mendling, & M. Rosemann (Eds.), Business Process Management Cases Vol. 3: Implementation in Practice (pp. 73-86). Springer Nature. https://doi.org/10.1007/978-3-031-80793-0_6 Abstract (a) Situation faced: Vanderlande Industries BV, or Vanderlande for short (VI), is Read More ...
  • Constructive Alignment in Process Mining - Brunings, M., Fahland, D., & van Dongen, B. F. (2025). Constructive Alignment in Process Mining. In A. Delgado, & T. Slaats (Eds.), Process Mining Workshops: ICPM 2024 International Workshops, Lyngby, Denmark, October 14–18, 2024, Revised Selected Papers (pp. 105-116). (Lecture Notes in Business Information Processing (LNBIP); Vol. 533). Springer. https://doi.org/10.1007/978-3-031-82225-4_8 Abstract Constructive alignment is a Read More ...
  • How well can a large language model explain business processes as perceived by users? - Fahland, D., Fournier, F., Limonad, L., Skarbovsky, I., & Swevels, A. J. E. (2025). How well can a large language model explain business processes as perceived by users? Data and Knowledge Engineering, 157, Article 102416. https://doi.org/10.1016/j.datak.2025.102416 Abstract Large Language Models (LLMs) are trained on a vast amount of text to interpret and generate human-like textual Read More ...
  • WISE: Unraveling Business Process Metrics with Domain Knowledge - Jessen, U., & Fahland, D. (2024). WISE: Unraveling Business Process Metrics with Domain Knowledge. https://doi.org/10.48550/arXiv.2410.04387
  • Challenges of Anomaly Detection in the Object-Centric Setting: Dimensions and the Role of Domain Knowledge - Berti, A., Jessen, U., van der Aalst, W. M. P., & Fahland, D. (2024). Challenges of Anomaly Detection in the Object-Centric Setting: Dimensions and the Role of Domain Knowledge. arXiv.org. https://doi.org/10.48550/arXiv.2407.09023 Abstract Object-centric event logs, allowing events related to different objects of different object types, represent naturally the execution of business processes, such as ERP Read More ...
  • Towards a Simple and Extensible Standard for Object-Centric Event Data (OCED) – Core Model, Design Space, and Lessons Learned - Fahland, D., Montali, M., Lebherz, J., van der Aalst, W. M. P., van Asseldonk, M., Blank, P., Bosmans, L., Brenscheidt, M., Di Ciccio, C., Delgado, A., Calegari, D., Peeperkorn, J., Verbeek, E., Vugs, L., & Wynn, M. T. (2024). Towards a Simple and Extensible Standard for Object-Centric Event Data (OCED) – Core Model, Design Space, 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 ...

 

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