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Laura Genga

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Laura Genga

dr.

 https://orcid.org/0000-0001-8746-8826
  • 545
    Citations - based on content available in repository [source: Scopus]
20122026

Content available in repository

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Research profile

Laura Genga is an Assistant Professor in Information Systems at Eindhoven University of Technology (TU/e).  Her research revolves around data-driven process analysis and enhancement. In particular, her work falls within the process mining discipline, the goal of which consists in turning event data collected by any sort of logging system, e.g., enterprise information systems, into insights on the corresponding processes. Her core topics involve automated discovery and analysis of flexible processes, process compliance analysis, and on-line and monitoring and prediction to support process managers in taking decisions regarding current process executions, e.g., to react to potentially undesired situations.

 

 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  3. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  4. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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Collaborations and top research areas from the last five years

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  • Alternating Bi-Objective Optimization for Explainable Neuro-Fuzzy Systems

    Khaled, Q., Kaymak, U. & Genga, L., 1 Jun 2026, 2026 IEEE Conference on Artificial Intelligence, CAI 2026. Institute of Electrical and Electronics Engineers, p. 1166-1173 8 p. 11536320

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • A Method for Process Model Matching with LLMs

    Zampino, F., Genga, L., Longo, A. (Corresponding author), Zappatore, M. S. & Dijkman, R., 7 Jun 2026, Intelligent Information Systems: CAiSE 2026 Forum and Doctoral Consortium, Verona, Italy, June 8–12, 2026, Proceedings. Zerbato, F., Zdravkovic, J., Pufahl, L., Poels, G. & Kirikova, M. (eds.). Cham: Springer, p. 90-97 8 p. (Lecture Notes in Business Information Processing (LNBIP); vol. 587).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • Behavioral similarity in business process models: A perspective that needs more attention

    Zampino, F. (Corresponding author), Genga, L. & Longo, A., Feb 2026, In: Information Systems. 136, 14 p., 102608.

    Research output: Contribution to journal › Review article › peer-review

    Open Access
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  • Causal Deviance Mining

    Eshuis, R. (Corresponding author), Genga, L. & Griffioen, R., 9 Jun 2026, Enterprise, Business-Process and Information Systems Modeling: 27th International Conference, BPMDS 2026, and 31st International Conference, EMMSAD 2026, Verona, Italy, June 8–9, 2026, Proceedings. van der Aa, H., Guizzardi, R., Hacks, S. & Pufahl, L. (eds.). Cham: Springer, p. 131-147 17 p. (Lecture Notes in Business Information Processing (LNBIP); vol. 594).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • Evidence-driven appraisal of students’ careers using process mining: a case study

    Diamantini, C., Genga, L., Mircoli, A. (Corresponding author) & Potena, D., Jun 2026, In: Journal of Intelligent Information Systems. 64, 3, p. 1011-1030 20 p.

    Research output: Contribution to journal › Article › Academic › peer-review

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