• 1211
    Citations - based on content available in repository [source: Scopus]
20122024

Content available in repository

Personal profile

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 Celonis 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 than 50 peer-reviewed publications and also contributed significantly to the leading open-source Process Mining frameworks ProM and bupaR. He organized several workshops on trust and privacy aspects of process analytics at major conferences (ICPM, I3E) and served on the program committee of several workshops as well as the BPM, ICPM, and CAiSE 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.

Fingerprint

Dive into the research topics where Felix Mannhardt is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • An Experiment on Transfer Learning for Suffix Prediction on Event Logs

    van Luijken, M., Ketykó, I. & Mannhardt, F., 2024, Business Process Management Workshops - BPM 2023 International Workshops, Utrecht, The Netherlands, September 11–15, 2023, Revised Selected Papers. De Weerdt, J. & Pufahl, L. (eds.). Springer, p. 31-43 13 p. (Lecture Notes in Business Information Processing; vol. 492 LNBIP).

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

  • Clinical Event Knowledge Graphs: Enriching Healthcare Event Data with Entities and Clinical Concepts - Research Paper.

    Aali, M. N., Mannhardt, F. & Toussaint, P. J., 2024, Process Mining Workshops - ICPM 2023 International Workshops, 2023, Revised Selected Papers. De Smedt, J. & Soffer, P. (eds.). p. 296-308 13 p. (Lecture Notes in Business Information Processing; vol. 503 LNBIP).

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

  • Comparing Conformance Checking for Decision Mining: An Axiomatic Approach

    Banham, A., ter Hofstede, A. H. M., Leemans, S. J. J., Mannhardt, F., Andrews, R. & Wynn, M. T., 2024, In: IEEE Access. 12, p. 60276-60298 23 p., 10504896.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    File
    2 Downloads (Pure)
  • Customer journeys and process mining – challenges and opportunities

    Halvorsrud, R., Mannhardt, F., Prillard, O. & Boletsis, C., 1 Jan 2024, International Conference on Exploring Service Science (IESS 2.4). Vol. 62. p. 05002 (ITM Web of Conferences).

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

    Open Access
  • Event Knowledge Graphs for Auditing: A Case Study.

    Klijn, E. L., Preuss, D., Imeri, L., Baumann, F., Mannhardt, F. & Fahland, D., 2024, Process Mining Workshops - ICPM 2023 International Workshops, 2023, Revised Selected Papers. De Smedt, J. & Soffer, P. (eds.). p. 84-97 14 p. (Lecture Notes in Business Information Processing; vol. 503 LNBIP).

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