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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 Duik in de onderzoeksthema's waar Dirk Fahland actief is. Deze onderwerplabels komen voort uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

  • 6 Vergelijkbare profielen
Industry Engineering en materiaalwetenschappen
Petri nets Engineering en materiaalwetenschappen
Enterprise resource planning Engineering en materiaalwetenschappen
Semantics Engineering en materiaalwetenschappen
Life cycle Engineering en materiaalwetenschappen
Flow control Engineering en materiaalwetenschappen
Data structures Engineering en materiaalwetenschappen
Electronic data interchange Engineering en materiaalwetenschappen

Netwerk Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.

Onderzoeksoutput 2009 2019

2 Citaties (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. 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

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 blz.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer 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
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, blz. 137-144 8 blz. 8786068

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer 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 blz.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Open Access
Bestand
Query languages

Activiteiten 2011 2017

  • 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

1/09/15 → …

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