The International Conference on Process Mining (ICPM) is the leading global forum for researchers, practitioners, and developers in process mining. The conference fosters a dynamic exchange of ideas and knowledge through scientific talks, interactive industry discussions, live contests, hands-on tutorials, and expert panels.
ICPM covers all facets of process mining, including theoretical advancements, algorithmic challenges, impactful applications, and interdisciplinary connections with fields like machine learning, data science, and operations management. Co-sponsored by the IEEE Computational Intelligence Society and supported by the IEEE Task Force on Process Mining, ICPM represents the cutting edge of process mining research and practice.
Process mining transforms how organizations understand, analyze, and improve their work processes by extracting insights from transactional data recorded in IT systems. This data-driven approach enables organizations to enhance performance across key dimensions such as efficiency, quality, compliance, and risk. By replacing traditional, assumption-based methodologies with evidence-based decision-making, process mining unlocks unique opportunities for advancing business process management.
Topics for Research Papers
ICPM 2025 invites groundbreaking contributions in both technical and empirical process mining research, aiming to push the boundaries of innovation and knowledge. Submissions should clearly articulate their contributions and novelty. Unless they are purely formal or conceptual, papers are expected to include evaluations (in case of technical papers) or present newly collected data (in case of empirical papers). To enhance replicability and impact, authors are strongly encouraged to provide supplementary resources, such as used datasets, publicly accessible implementations, and experimental packages for empirical studies. Studies utilizing novel, unpublished datasets are particularly welcomed. Research using existing datasets must emphasize the novelty of the analysis or its unprecedented results.
Selected accepted papers may be invited for an extended and revised publication in a special issue of the flagship journal Process Science, edited by Springer (https://link.springer.com/journal/44311).
ICPM 2025 welcomes submissions across a broad spectrum of topics, including but not limited to:
Technical Research in Process Mining
- Novel process mining techniques for
- Process discovery
- Conformance checking
- Performance measurement
- Predictive and prescriptive process monitoring
- Comparative process analysis
- Formal foundations of process mining
- Conceptual models related to process mining
- Process mining visualizations
Empirical Research in Process Mining
- Case studies and applications
- Experiments involving process mining algorithms
- Humans-in-the-loop experiments
- Surveys
- Interview-based studies
Types of Contributions & Submission Instructions
ICPM 2025 welcomes two types of contributions:
1. Regular Research Papers
Regular research papers should present completed research with clearly outlined contributions. Accepted regular research papers will be presented in the main track of the conference, allowing authors to share their findings and engage with attendees through Q&A sessions. Regular research papers will be published in the conference proceedings.
- Length: Maximum of 8 pages
- Format: Papers must follow the IEEE Computational Intelligence Society conference proceedings guidelines (8.5″ × 11″, two-column format). Templates for LaTeX and Word are available here: https://www.ieee.org/conferences/publishing/templates.html
2. Posters
Poster submissions provide a platform for presenting new ideas or ongoing, promising work. Authors can gather feedback and engage with the community in a dedicated poster session. Poster papers will be reviewed but not published in the conference proceedings.
- Length: Maximum of 4 pages
- Format: Use the IEEE templates provided above. In addition, authors of poster submissions should add “(Poster)” to the title of their submission to clearly distinguish them as such.
Submission Guidelines
- All submissions must be original and not submitted elsewhere during the review process.
- For any regular paper submission, the timely, prior submission of an abstract is mandatory.
- The use of AI-generated text must be disclosed in the acknowledgments section of the paper. Any sections utilizing AI-generated content must include citations to the AI system used.
- Submissions should be made through the ICPM 2025 submission system at https://easychair.org/conferences/?conf=icpm2025 (ICPM 2025 track)
- All papers must be written in English.
Review Process
- Each submission will be reviewed by at least one senior process committee member and two additional reviewers.
- A discussion period will follow the reviews to finalize decisions.
Presentation and Copyright
- At least one author of each accepted contribution is required to register for the conference, present their work, and sign a copyright release form.
Diversity, Equity, and Inclusion
The Process Mining community welcomes the advancement of diversity, equity, and inclusion (DEI) across our professional endeavors. We celebrate the diversity in our community and foster an environment that welcomes individuals irrespective of age, gender identity, race, ethnicity, socioeconomic status, nationality, beliefs, sexual orientation, physical capabilities, education, and professional background. We urge all participants to uphold DEI principles in their written work, reviews, presentations, and any engagement linked to the ICPM conference.
Open Science Principles
The ICPM conference encourages authors of research papers to follow the principles of transparency, reproducibility, and replicability. In particular, the conference supports the adoption of open data and open source principles and encourages authors to disclose (anonymized and curated) data in order to increase reproducibility and replicability.
Authors are encouraged to make research artifacts (e.g., prototypes, interview protocols, questionnaires) or the datasets (used in, or produced by, the empirical evaluation) reported in the paper available in a suitable form. To facilitate this, we kindly ask authors to include links in their manuscripts to private or public repositories where reviewers can access the associated research artifacts. This information may be presented in a dedicated section, such as “Data availability” or “Reproducibility”. This requirement does not apply to papers that neither involve an empirical study nor a prototype implementation.
Authors who are unable or choose not to share their research artifacts and datasets with the program committee are encouraged to provide an explanation within their submitted manuscript, detailing the reasons behind their decision. This statement may be removed from the final version of the paper if it gets accepted. Possible reasons may involve privacy restrictions or non-disclosure agreements. While sharing research artifacts is not mandatory for submission or acceptance, the program committee members may use this information to inform their decision.
To enhance the accessibility of research artifacts and datasets, authors are advised to make them accessible via public repositories (e.g., Zenodo, Figshare, GitHub, or institutional archives) under an open data license such as the CC0 dedication or the CC-BY 4.0 license. Making research artifacts and datasets available via cloud services such as Dropbox or Google Docs is discouraged due to the volatility of the links associated with these services.
Finally, authors are encouraged to self-archive their pre- and post-prints in open, preserved repositories, such as their institutional preprint repository, arXiv, or other non-profit services, in line with IEEE’s copyright agreement (see IEEE Preprint Policy).
Opportunities for Sub-Reviewing
ICPM 2025 warmly encourages early-career researchers, including Ph.D. students and early postdoctoral researchers, to actively participate in the scientific reviewing process by contributing as sub-reviewers. Sub-reviewing a paper is a great opportunity to gain firsthand experience with the peer-review process, sharpen your critical evaluation skills, and familiarize yourself with the latest research on process mining.
If you are interested, we invite you to approach a PC member you already know to express your interest, clearly indicating that you are willing to contribute a sub-review in exchange for feedback on your reviewing skills. If you do not have a direct connection to a PC member, please don’t hesitate to reach out to the PC chairs, who will help facilitate your involvement. Your contributions are valuable to the community and we look forward to incorporating your expertise!
Important Dates
- Abstract submission: May 15, 2025 (AoE) (mandatory)
- Paper submission:
May 22, 2025 (AoE)May 29, 2025 (AoE) - Notification: July 11, 2025 (AoE)
- Camera-ready: August 22, 2025
- Conference start: October 20, 2025
Program Chairs
- Hajo Reijers, Utrecht University, Netherlands
- Jana-Rebecca Rehse, University of Mannheim, Germany
- Jochen De Weerdt, KU Leuven, Belgium
Program Committee
Senior PC Members
- Andrea Burattin, Technical University of Denmark
- Cristina Cabanillas, Universidad de Sevilla
- Johannes De Smedt, KU Leuven
- Adela del Río, Universidad de Sevilla
- Benoit Depaire, Hasselt University
- Claudio Di Ciccio, Utrecht University
- Chiara Di Francescomarino, University of Trento
- Dirk Fahland, Eindhoven University of Technology
- Chiara Ghidini, Free University of Bozen-Bolzano
- Mieke Jans, Hasselt University
- Sander Leemans, RWTH Aachen University
- Henrik Leopold, Kühne Logistics University
- Xixi Lu, Utrecht University
- Andrea Marrella, Sapienza University of Rome
- Jorge Munoz-Gama, Pontificia Universidad Católica de Chile
- Artem Polyvyanyy, University of Melbourne
- Luise Pufahl, TU Munich
- Stefanie Rinderle-Ma, TU Munich
- Maximilian Röglinger, University of Bayreuth
- Arik Senderovich, York University
- Pnina Soffer, University of Haifa
- Minseok Song, Pohang University of Science and Technology
- Wil van der Aalst, RWTH Aachen University
- Boudewijn van Dongen, Eindhoven University of Technology
- Barbara Weber, University of St.Gallen
- Matthias Weidlich, Humboldt-Universität zu Berlin
- Moe Thandar Wynn, Queensland University of Technology
PC Members
- Simone Agostinelli, Sapienza University of Rome
- Iris Beerepoot, Utrecht University
- Jari Peeperkorn, KU Leuven
- Eric Verbeek, Eindhoven University of Technology
- Amine Abbad-Andaloussi, University of St.Gallen
- Ilaria Angela Amantea, Università degli studi di Torino
- Daniel Amyot, University of Ottawa
- Annalisa Appice, Università degli Studi di Bari
- Michael Arias, Universidad de Costa Rica
- Abel Armas Cervantes, The University of Melbourne
- Hyerim Bae, Pusan National University
- Saimir Bala, Humboldt-Universität zu Berlin
- Sylvio Barbon, University of Trieste
- Elisabetta Benevento, University of Pisa
- Robin Bergenthum, FernUniversität in Hagen
- Paolo Ceravolo, University of Milan
- Thomas Chatain, LSV, ENS Paris-Saclay, Cachan
- Minsu Cho, Kwangwoon University
- Ouyang Chun, Queensland University of Technology
- Marco Comuzzi, Ulsan National Institute of Science and Technology
- Zahra Dasht Bozorgi, University of Melbourne
- Massimiliano de Leoni, University of Padua
- Andrea Delgado, Universidad de la República
- Pavlos Delias, International Hellenic University
- Remco Dijkman, Eindhoven University of Technology
- Djordje Djurica, Vienna University of Economics and Business
- Bedilia Estrada-Torres, University of Sevilla
- Joerg Evermann, Memorial University of Newfoundland
- Stephan Fahrenkrog-Petersen, Weizenbaum Institute for the Networked Society
- Carlos Fernández-Llatas, Universitat Politècnica de València
- Avigdor Gal, Technion
- Luciano García-Bañuelos, Tecnológico de Monterrey
- Laura Genga, Eindhoven University of Technology
- Alessandro Gianola, University of Lisbon
- Mayte Gomez, University of Sevilla
- Laura Gonzalez, Universidad de la República
- Oscar Gonzalez-Rojas, Universidad de los Andes
- Daniela Grigori, Laboratoire LAMSADE, University Paris-Dauphine
- Thomas Grisold, University of St.Gallen
- Gert Janssenswillen, Hasselt University
- Anna Kalenkova, The University of Adelaide
- Timotheus Kampik, SAP Signavio
- István Koren, RWTH Aachen
- Agnes Koschmider, University of Bayreuth
- Francesco Leotta, Sapienza University of Rome
- Cong Liu, Shandong University of Technology
- Irina Lomazova, National Research University Higher School of Economics
- Hugo A. Lopez, DTU
- Orlenys Lopez-Pintado, University of Tartu
- Fabrizio Maria Maggi, Free University of Bozen-Bolzano
- Felix Mannhardt, Eindhoven University of Technology
- Sarajane Marques Peres, University of São Paulo
- Gabriel Marques Tavares, LMU
- Niels Martin, Hasselt University
- Massimo Mecella, Sapienza University of Rome
- Jan Mendling, Humboldt-Universität zu Berlin
- Giovanni Meroni, Technical University of Denmark
- Marco Montali, Free University of Bozen-Bolzano
- Gyunam Park, Fraunhofer FIT
- Birgit Penzenstadler, Chalmers University
- Mahsa Pourbafrani, RWTH Aachen University
- Majid Rafiei, SAP Signavio
- Adrian Rebmann, SAP Signavio
- Manuel Resinas, University of Seville
- Andrey Rivkin, Technical University of Denmark
- Massimiliano Ronzani, Fondazione Bruno Kessler
- Lorenzo Rossi, University of Camerino
- Sareh Sadeghianasl, Queensland University of Technology
- Thomas Seidl, LMU
- Marcos Sepúlveda, Pontificia Universidad Católica de Chile
- Tijs Slaats, University of Copenhagen
- Niek Tax, Meta
- Arthur ter Hofstede, Queensland University of Technology
- Han van der Aa, University of Vienna
- Jan-Martijn van der Werf, Utrecht University
- Sebastiaan van Zelst, Celonis
- Maxim Vidgof, Vienna University of Economics and Business
- Hagen Völzer, University of St.Gallen
- Lijie Wen, Tsinghua University
- Karolin Winter, Eindhoven University of Technology
- Francesca Zerbato, Eindhoven University of Technology