• 2398 Citaties
20092020

Research output per year

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Persoonlijk profiel

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.

Vingerafdruk Verdiep u in de onderzoeksgebieden waarop Dirk Fahland actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

  • 5 Soortgelijke profielen

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Onderzoeksoutput

Information-preserving abstractions of event data in process mining

Leemans, S. J. J. & Fahland, D., 1 mrt 2020, In : Knowledge and Information Systems. 62, 3, blz. 1143–1197 55 blz.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Process mining for six sigma: a guideline and tool support

Graafmans, T. L. F., Türetken, O., Poppelaars, J. J. G. H. & Fahland, D., 19 feb 2020, (Geaccepteerd/In druk) In : Business & Information Systems Engineering.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • 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. Donatelli, S. & Haar, S. (redactie). Springer, blz. 3-24 22 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11522 LNCS).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • 3 Citaten (Scopus)

    Performance mining for batch processing using the performance spectrum

    Klijn, E. L. & Fahland, D., 1 jan 2019, Business Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers. Di Francescomarino, C., Dijkman, R. & Zdun, U. (redactie). Cham: Springer, blz. 172-185 14 blz. (Lecture Notes in Business Information Processing; vol. 362 LNBIP).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • Performance mining for batch processing using the performance spectrum

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

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
    Bestand
  • Activiteiten

    • 3 Lidmaatschap van commissie
    • 2 Keynote spreker
    • 1 Genodigd spreker
    • 1 Bezoek externe academische instelling

    Process Mining for Complex Systems

    Dirk Fahland (Spreker)
    5 okt 2017

    Activiteit: Types gesprekken of presentatiesGenodigd sprekerWetenschappelijk

    Process Mining: Past, Present, and Open Challenges

    Dirk Fahland (Spreker)
    27 jul 2017

    Activiteit: Types gesprekken of presentatiesKeynote sprekerWetenschappelijk

    Software in Informationsystems-Research: Methods and Obstacles

    Dirk Fahland (Spreker)
    13 jun 2017

    Activiteit: Types gesprekken of presentatiesKeynote sprekerWetenschappelijk

    Bestand

    EMISA Fachgruppe der Gesellschaft für Informatik, e.V. (Externe organisatie)

    Dirk Fahland (Lid)
    1 jan 2016 → …

    Activiteit: Types lidmaatschapLidmaatschap van commissieWetenschappelijk

    SOAMED

    Dirk Fahland (Bezoekende onderzoeker)
    5 okt 2015

    Activiteit: Types bezoeken aan een externe instellingBezoek externe academische instellingWetenschappelijk

    Cursussen

    Advanced process mining

    1/09/1531/08/21

    Cursus

    Data Challenge 3

    1/09/17 → …

    Cursus

    Data Sci & Engineering

    1/09/15 → …

    Cursus

    Scriptie

    Analyzing the treatment of DM2 patients using process mining

    Auteur: Majoor, S., 2018

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

    Scriptie/masterproef: Master

    Bestand

    An approach to select redesign best practices

    Auteur: Bui, T., 30 apr 2016

    Begeleider: Wilbik, A. (Afstudeerdocent 1), Vanderfeesten, I. (Afstudeerdocent 2), Fahland, D. (Afstudeerdocent 2) & Rauto, S. (Externe persoon) (Externe coach)

    Scriptie/masterproef: Master

    Bestand

    An approach to variability management in enterprise architecture

    Auteur: Rurua, N., 31 okt 2015

    Begeleider: Eshuis, H. (Afstudeerdocent 1), Razavian, M. (Afstudeerdocent 2), Fahland, D. (Afstudeerdocent 2) & Spierings, A. (Externe persoon) (Externe coach)

    Scriptie/masterproef: Master

    Bestand

    An evaluation of thresholds for business process model metrics

    Auteur: Boomsma, R., 30 okt 2017

    Begeleider: Vanderfeesten, I. (Afstudeerdocent 1), Fahland, D. (Afstudeerdocent 2), Reijers, H. (Afstudeerdocent 2) & Cramer, S. (Externe persoon) (Externe coach)

    Scriptie/masterproef: Master

    Bestand

    Artifact-centric log extraction and process discovery

    Auteur: Lu, X., 30 sep 2013

    Begeleider: Fahland, D. (Afstudeerdocent 1), Nagelkerke, M. (Externe coach), van de Wiel, D. (Externe persoon) (Externe coach) & Vanderfeesten, I. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Bestand