• 883
    Citations - based on content available in repository, source: Scopus
20122023

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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 part-time as Principal Data Scientist. KIT-AR builds 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 several 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.

Quote

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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  • Aggregating Event Knowledge Graphs for Task Analysis

    Klijn, E. L., Mannhardt, F. & Fahland, D., 2023, Process Mining Workshops - ICPM 2022 International Workshops, Revised Selected Papers. Montali, M., Senderovich, A. & Weidlich, M. (eds.). Springer, p. 493-505 13 p. (Lecture Notes in Business Information Processing; vol. 468 LNBIP).

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

    Open Access
  • Building User Journey Games from Multi-party Event Logs

    Kobialka, P., Mannhardt, F., Tapia Tarifa, S. L. & Johnsen, E. B., 2023, Process Mining Workshops - ICPM 2022 International Workshops, Revised Selected Papers. Montali, M., Senderovich, A. & Weidlich, M. (eds.). Springer, p. 71-83 13 p. (Lecture Notes in Business Information Processing; vol. 468 LNBIP).

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

    Open Access
  • Early Predicting the Need for Aftercare Based on Patients Events from the First Hours of Stay – A Case Study

    Dubbeldam, A. L., Ketykó, I., de Carvalho, R. M. & Mannhardt, F., 2023, Process Mining Workshops - ICPM 2022 International Workshops, Revised Selected Papers. Montali, M., Senderovich, A. & Weidlich, M. (eds.). Springer, p. 366-377 12 p. (Lecture Notes in Business Information Processing; vol. 468 LNBIP).

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

    Open Access
  • Modelling Data-Aware Stochastic Processes - Discovery and Conformance Checking.

    Mannhardt, F., Leemans, S. J. J., Schwanen, C. T. & de Leoni, M., 2023, p. 77-98.

    Research output: Contribution to conferencePaperAcademic

  • Discovering Care Pathways for Multi-morbid Patients Using Event Graphs

    Aali, M. N., Mannhardt, F. & Toussaint, P. J., 2022, Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 - November 4, 2021, Revised Selected Papers.. Munoz-Gama, J. & Lu, X. (eds.). Springer, p. 352-364 13 p. (Lecture Notes in Business Information Processing (LNBIP); vol. 433).

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

    Open Access
    2 Citations (Scopus)