• Bron: Scopus

Onderzoeksresultaten per jaar

Als u wijzigingen in Pure hebt gemaakt, zullen deze hier binnenkort zichtbaar zijn.

Persoonlijk profiel

Research profile

Felix Mannhardt is an Assistant Professor in the Process Analytics group at the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He is also co-founder of KIT-AR and works there as Principal Data Scientist (part-time). KIT-AR is a spin-off company created out of the EU H2020 project HUMAN Manufacturing and currently building an innovate industrial AR solution.

Felix's research interest is the development and application of Process Mining methods related to low-level event data (event abstraction, activity recognition, sensor data, multi-perspective event logs), related to conformance checking (combination of control-flow with rules over data), as well as related to trust and privacy concerns (privacy-preserving methods, privacy and trust models).

Academic background

Felix obtained his PhD from Eindhoven University of Technology in 2018 based on his thesis on Multi-perspective Process Mining under the supervision of Hajo Reijers and Wil van der Aalst. The thesis received awards both from the academic community through the Process Mining Dissertation Award 2019 at the 1st International Conference on Process Mining (ICPM) as well as from the industrial side with the Cleonis Thesis Award at Celosphere 2019. After his PhD, he worked for three years as Research Scientist at the Norwegian research institute SINTEF in Trondheim and was appointed part-time Associate Professor at the Norwegian University of Science and Technology (NTNU) in 2019. Felix published more 30 peer-reviewed publications and also contributed contributed significantly to the leading open-source Process Mining frameworks ProM and bupaR. He organised two workshops on Trust and Privacy aspects of Process Analytics at major conferences (I3E and ICPM) and served on the program committe of several workshops as well as the BPM and ICPM conferences.


Understanding the right granularity of data and refining it to that granularity are fundamental problems for data and process science both regarding generating value from data and regarding ethical questions.


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  • Detection of batch activities from event logs

    Martin, N., Pufahl, L. & Mannhardt, F., jan 2021, In : Information Systems. 95, 23 blz., 101642.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • Designing a Privacy Dashboard for a Smart Manufacturing Environment

    Mannhardt, F., Oliveira, M. & Petersen, S. A., 2020, Digital Transformation for a Sustainable Society in the 21st Century - I3E 2019 IFIP WG 6.11 International Workshops, Revised Selected Papers. Pappas, I. O., Pappas, I. O., Mikalef, P., Jaccheri, L., Krogstie, J., Dwivedi, Y. K. & Mäntymäki, M. (redactie). Springer, blz. 79-85 7 blz. (IFIP Advances in Information and Communication Technology; vol. 573 AICT).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    1 Citaat (Scopus)
  • Event abstraction in process mining: literature review and taxonomy

    van Zelst, S. J., Mannhardt, F., de Leoni, M. & Koschmider, A., 27 mei 2020, In : Granular Computing. XX, XX

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    Open Access
  • Extensions to the bupaR Ecosystem: An Overview

    Janssenswillen, G., Mannhardt, F., Creemers, M., Depaire, B., Jans, M., Jooken, L., Martin, N. & Van Houdt, G., 2020, Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020). CEUR-WS.org, blz. 43-46 4 blz. (CEUR Workshop Proceedings; vol. 2703).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
  • Framework for process discovery from sensor data

    Koschmider, A., Janssen, D. & Mannhardt, F., 2020, In : CEUR Workshop Proceedings. 2628, blz. 32-38 7 blz.

    Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelAcademic

    1 Citaat (Scopus)
Als u wijzigingen in Pure hebt gemaakt, zullen deze hier binnenkort zichtbaar zijn.