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Personal profile

Quote

“The complex systems that support our daily lives fascinate me, because they often elude our comprehension. Developing useful concepts that structure our thinking helps us analysing these systems and turns complexity into deep understanding.”

Research profile

Dirk Fahland is an Associate Professor in Process Analytics on Multi-Dimensional Event Data of the Analytics for Information Systems group at Eindhoven University of Technology (TU/e). Starting from a strong background in construction and analysis of distributed systems with formal models, he has, over the years, embraced event data as a central source for system analysis. His research interests are in describing and analyzing complex and distributed systems and processes through their event data using process mining and data engineering.

A central theme in Dirk’s research is analyzing data and systems that are too large or complex to be understood as monolithic end-to-end processes executed in isolation. Dirk’s approach is analyze and describe such systems as a complex network of behavior from several different angles. To achieve this goal, he is researching techniques for large-scale event data pre-processing and querying as well as discovering, synthesizing, and transforming models from event data and from existing models.

Academic background

Dirk Fahland obtained his obtained his PhD at the Humboldt-Universität zu Berlin and at TU/e under the supervision of Prof. Wolfgang Reisig and Prof. Wil van der Aalst. He worked as a Post-Doc at TU/e on the EU funded ACSI project and spent several research stays at the group of David Harel at the Weizmann Institute of Science, Israel, and the BPT group of Mathias Weske at the HPI Potsdam, Germany. He also spent a year at the School of Computing at the National University of Singapore. In 2013, he was appointed Assistant-Professor (Architecture of Information Systems group, Computer Science and Mathematics), received tenure in 2016, and was appointed Associate-Professor in 2019. He is managing the "Data Science in Engineering" Master and is leading the “Data Challenge” course series in the JADS “Data Science” Bachelor and manages the “Process Mining in Logistics” project with Vanderlande Industries.

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  • 2 Similar Profiles
Industry Engineering & Materials Science
Petri nets Engineering & Materials Science
Enterprise resource planning Engineering & Materials Science
Semantics Engineering & Materials Science
Flow control Engineering & Materials Science
Life cycle Engineering & Materials Science
Electronic data interchange Engineering & Materials Science
Specifications Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2009 2019

2 Citations (Scopus)

Describing behavior of processes with many-to-many interactions

Fahland, D., 1 Jan 2019, Application and Theory of Petri Nets and Concurrency - 40th International Conference, PETRI NETS 2019, Proceedings. Haar, S. & Donatelli, S. (eds.). Springer, p. 3-24 22 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11522 LNCS)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Many to many
Data structures
Interaction
Synchronization
Data Modeling

Information-preserving abstractions of event data in process mining

Leemans, S. J. J. & Fahland, D., 20 Jul 2019, In : Knowledge and Information Systems. 55 p.

Research output: Contribution to journalArticleAcademicpeer-review

Performance mining for batch processing using the performance spectrum

Klijn, E. L. & Fahland, D., 2019, 15th International Workshop on Business Process Intelligence. 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Agglomeration
Processing
Industry

Predictive performance monitoring of material handling systems using the performance spectrum

Denisov, V., Fahland, D. & van der Aalst, W. M. P., 1 Jun 2019, Proceedings - 2019 International Conference on Process Mining, ICPM 2019. Piscataway: Institute of Electrical and Electronics Engineers, p. 137-144 8 p. 8786068

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Materials handling
Monitoring
Feature extraction
Airports
Learning systems

Storing and querying multi-dimensional process event logs using graph databases

Esser, S. & Fahland, D., 2019, 15th International Workshop on Business Process Intelligence. 13 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Query languages

Activities 2011 2017

  • 3 Membership of committee
  • 2 Keynote talk
  • 1 Invited talk
  • 1 Visiting an external academic institution

Process Mining for Complex Systems

Dirk Fahland (Speaker)
5 Oct 2017

Activity: Talk or presentation typesInvited talkScientific

Process Mining: Past, Present, and Open Challenges

Dirk Fahland (Speaker)
27 Jul 2017

Activity: Talk or presentation typesKeynote talkScientific

Software in Informationsystems-Research: Methods and Obstacles

Dirk Fahland (Speaker)
13 Jun 2017

Activity: Talk or presentation typesKeynote talkScientific

File

EMISA Fachgruppe der Gesellschaft für Informatik, e.V. (External organisation)

Dirk Fahland (Member)
1 Jan 2016 → …

Activity: Membership typesMembership of committeeScientific

SOAMED

Dirk Fahland (Visiting researcher)
5 Oct 2015

Activity: Visiting an external institution typesVisiting an external academic institutionScientific

Courses

Advanced process mining

1/09/15 → …

Course

Data Challenge 3

1/09/17 → …

Course

Data Sci & Engineering

1/09/15 → …

Course

Press / Media

6th central-european workshop on services and their composition (ZEUS 2014)

Dirk Fahland

24/11/13

1 item of media coverage

Press/Media: Expert Comment

Student theses

Analyzing the treatment of DM2 patients using process mining

Author: Majoor, S., 2018

Supervisor: Fahland, D. (Supervisor 1), Pechenizkiy, M. (Supervisor 2) & Kaymak, U. (Supervisor 2)

Student thesis: Master

File

An approach to select redesign best practices

Author: Bui, T., 30 Apr 2016

Supervisor: Wilbik, A. (Supervisor 1), Vanderfeesten, I. (Supervisor 2), Fahland, D. (Supervisor 2) & Rauto, S. (External person) (External coach)

Student thesis: Master

File

An approach to variability management in enterprise architecture

Author: Rurua, N., 31 Oct 2015

Supervisor: Eshuis, H. (Supervisor 1), Razavian, M. (Supervisor 2), Fahland, D. (Supervisor 2) & Spierings, A. (External person) (External coach)

Student thesis: Master

File

An evaluation of thresholds for business process model metrics

Author: Boomsma, R., 30 Oct 2017

Supervisor: Vanderfeesten, I. (Supervisor 1), Fahland, D. (Supervisor 2), Reijers, H. (Supervisor 2) & Cramer, S. (External person) (External coach)

Student thesis: Master

File

Artifact-centric log extraction and process discovery

Author: Lu, X., 30 Sep 2013

Supervisor: Fahland, D. (Supervisor 1), Nagelkerke, M. (External coach), van de Wiel, D. (External person) (External coach) & Vanderfeesten, I. (Supervisor 2)

Student thesis: Master

File