Call for Research Papers

The International Conference on Process Mining (ICPM) is the premier international venue for
researchers and professionals working in the field of process mining. It promotes a vibrant
exchange of ideas and expertise through scientific presentations, interactive industry sessions, live challenges, practical tutorials, and expert-led panels.

ICPM addresses the full spectrum of process mining research and practice, spanning theoretical
progress, algorithmic research, real-world impact and applications, and interdisciplinary links with areas such as machine learning, data science, and operations management. Supported by the IEEE Task Force on Process Mining, ICPM stands at the forefront of innovation in process mining research and practice.

Process mining reshapes the way organizations explore, analyze, and optimize their operational
processes by deriving insights from transactional data stored in information systems. This evidence- driven approach allows organizations to improve their processes across critical dimensions, including efficiency, quality, compliance, and risk management. By moving beyond traditional assumption-based methods toward data-driven decision-making, process mining opens new avenues for advancing business process management.

Topics for Research Papers

ICPM 2027 welcomes rigorous contributions spanning both technical and empirical process mining research, aiming to advance the state of the art and expand existing knowledge in the field. Submissions should explicitly articulate their original contributions and novelty. Submissions are encouraged to provide an evaluation appropriate to their contribution. This may involve theoretical demonstrations and examples (for conceptual and theoretical work), quantitative or comparative analysis (for technical work), or evidence of practical relevance such as case studies or newly collected data (for empirical work). Studies utilizing novel, unpublished datasets are particularly welcomed. Research using existing datasets must emphasize the novelty of the analysis or its unprecedented results. To enhance transparency, reproducibility, and replicability, authors are strongly encouraged to provide supplementary resources, such as used datasets, publicly accessible implementations, and experimental packages for empirical studies. For more details, please consult the Open Science Principles section below.

Selected accepted papers may be invited for an extended and revised publication in a special issue of the flagship journal Process Science (https://link.springer.com/journal/44311).

ICPM 2027 welcomes submissions across a broad spectrum of topics, including but not limited to:

Technical Research in Process Mining

● Novel process mining methods and techniques for:

○ Event log building and preprocessing
○ Process discovery
○ Conformance checking
○ Performance analysis
○ Comparative process mining
○ Predictive and prescriptive process monitoring
○ Action-oriented process mining

● 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 methods and techniques
● Human-in-the-loop studies
● Survey- and interview-based studies

Types of Contributions & Submission Instructions

ICPM 2027 welcomes two types of contributions:

1. Regular Research Papers 

Regular research papers should present completed research with clearly outlined technical or
empirical contributions. Accepted papers will be presented in the main track of the conference and published open access in the ACM International Conference Proceedings Series (ICPS).

● Length: Maximum of 13 pages including references and appendices (single column)

● Format: Papers must follow the ACM conference proceedings guidelines. Templates for
LaTeX and Word are available online at:

○ https://authors.acm.org/proceedings/production-information/preparing-your-article-with-microsoft-word (Word)

○ https://authors.acm.org/proceedings/production-information/preparing-your-article-with-latex (LaTeX)

● Important when using the Overleaf templates linked on the ACM webpage shown above: select the ACM Conference Proceedings Primary Article Template and change the documentclass parameter from sigconf to manuscript (i.e. \documentclass[manuscript]{acmart}) to obtain the required single column format.

2. Posters

Poster submissions provide a platform for presenting new ideas or ongoing, promising work that
has not been published before. Authors can gather feedback and engage with the community in a dedicated poster session. Poster papers will be reviewed but not included in the proceedings.

● Length: 3 to 6 pages (single column)
● Format: Use the ACM templates provided above. In addition, authors of poster submissions
should add “ (Poster)” at the end of the title of their submission to clearly identify them as
such.

Submission Guidelines

● All submissions, both regular research papers and posters, must be original and not
submitted elsewhere during the review process.
● For any submission, the timely submission of an abstract is mandatory.
● The use of generative AI tools and technologies must be fully disclosed in the
‘Acknowledgments’ section of the paper, in line with ACM’s policies
(https://www.acm.org/publications/policies/new-acm-policy-on-authorship).
● Submissions should be made through the ICPM 2027 submission system at
https://easychair.org/conferences/?conf=icpm2027 (Main Track ICPM 2027).
● All papers must be written in English.

Review Process

● At least three program committee members will review each submission.
● A discussion period will follow the reviews to finalize decisions.

Presentation and Copyright

At least one author of each accepted contribution must register for the conference, present their
work, and sign a copyright 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 strongly encouraged to make research artifacts (e.g., prototypes, interview protocols, questionnaires) and datasets (used in, or produced by, the empirical evaluation) reported in their papers 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 include an explanation in their submitted manuscript detailing the reasons for 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 because the links associated with these services are volatile.

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 ACM’s Publication Rights & Licensing Policy – see Self-Archiving and Posting Rights
(https://www.acm.org/publications/policies/publication-rights-and-licensing-policy).

Important Dates

▪ Abstract submission: Sep 4, 2026 (AoE) (mandatory)
▪ Paper submission: Sep 11, 2026 (AoE)
▪ Notification to authors: Nov 4, 2026
▪ Camera-ready submission: Nov 25, 2026
▪ Conference start: Feb 8, 2027

Email address Main Track

Questions regarding the main track of ICPM 2027 can be directed to icpm2027-main@easychair.org

Program Committee

Program Committee Chairs

  • Niels Martin, Hasselt University
  • Marcos Sepúlveda, Pontificia Universidad Católica de Chile
  • Francesca Zerbato, Eindhoven University of Technology

 

Senior Program Committee Members

  • Andrea Burattin, Technical University of Denmark
  • Cristina Cabanillas, Universidad de Sevilla
  • Johannes De Smedt, KU Leuven
  • Jochen De Weerdt, KU Leuven
  • Adela del Río, Universidad de Sevilla
  • Benoît 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, The University of Melbourne
  • Luise Pufahl, TU Munich
  • Jana-Rebecca Rehse, University of Mannheim
  • Hajo Reijers, Utrecht University
  • 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

 

Program Committee Members 

  • Amine Abbad-Andaloussi, University of St.Gallen
  • Simone Agostinelli, Sapienza University of Rome
  • Anti Alman, Free University of Bozen-Bolzano
  • Daniel Amyot, University of Ottawa
  • Annalisa Appice, Università degli Studi di Bari
  • Michael Arias, Universidad de Costa Rica
  • Hyerim Bae, Pusan National University
  • Saimir Bala, Humboldt-Universität zu Berlin
  • Sylvio Barbon, University of Trieste
  • Iris Beerepoot, Utrecht University
  • Robin Bergenthum, FernUniversität in Hagen
  • Yannis Bertrand, Hasselt University
  • Daniel Calegari, Universidad de la República
  • Paolo Ceravolo, University of Milan
  • Minsu Cho, Kwangwoon University
  • Marco Comuzzi, Ulsan National Institute of Science and Technology
  • Massimiliano de Leoni, University of Padua
  • Andrea Delgado, Universidad de la República
  • Pavlos Delias, International Hellenic University
  • Djordje Djurica, Vienna University of Economics and Business
  • Bedilia Estrada-Torres, Universidad de Sevilla
  • Joerg Evermann, Memorial University of Newfoundland
  • Stephan Fahrenkrog-Petersen, Weizenbaum Institute for the Networked Society
  • Carlos Fernandez-Llatas, Universitat Politècnica de València
  • Sandro  Franzoi, University of Münster
  • Avigdor Gal, Technion
  • Luciano García-Bañuelos, Tecnológico de Monterrey
  • Laura Genga, Eindhoven University of Technology
  • Alessandro Gianola, University of Lisbon
  • Mayte Gomez, Universidad de Sevilla
  • Laura Gonzalez, Universidad de la República
  • Oscar Gonzalez-Rojas, Universidad de los Andes
  • Daniela Grigori, Laboratoire LAMSADE, University Paris-Dauphine
  • Thomas Grisold, Wirtschaftsuniversität Wien
  • Joscha Grüger, Universität Trier
  • Marwan Hassani, Eindhoven University of Technology
  • Owen Johnson, University of Leeds
  • Martin Kabierski, University of Vienna
  • Anna Kalenkova, The University of Adelaide
  • Timotheus Kampik, SAP Signavio
  • István Koren, RWTH Aachen University
  • Agnes Koschmider, University of Bayreuth
  • Kateryna Kubrak, Celonis
  • Francesco Leotta, Sapienza University of Rome
  • Cong Liu, NOVA University of Lisbon
  • Irina Lomazova, National Research University Higher School of Economics
  • Hugo A. Lopez, Technical University of Denmark
  • Orlenys Lopez-Pintado, University of Tartu
  • Felix Mannhardt, Sintef
  • Gabriel Marques Tavares, LMU Munich
  • 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, Eindhoven University of Technology
  • Jari Peeperkorn, KU Leuven
  • Marco Pegoraro, RWTH Aachen University
  • Mahsa Pourbafrani, RWTH Aachen University
  • Majid Rafiei, SAP Signavio
  • Adrian Rebmann, SAP Signavio
  • Manuel Resinas, Universidad de Sevilla
  • Andrey Rivkin, Technical University of Denmark
  • Eric Rojas, Pontificia Universidad Católica de Chile
  • Massimiliano Ronzani, Fondazione Bruno Kessler
  • Lorenzo Rossi, University of Camerino
  • Sareh Sadeghianasl, Queensland University of Technology
  • Daniel Schuster, University of Mannheim
  • Thomas Seidl, LMU Munich
  • Estefanía Serral, KU Leuven
  • Natalia Sidorova, Eindhoven University of Technology
  • Tijs Slaats, University of Copenhagen
  • Vinicius Stein Dani, Utrecht University
  • Stef van den Elzen, Eindhoven University of Technology
  • Han van der Aa, University of Vienna
  • Jan-Martijn van der Werf, Utrecht University
  • Sebastiaan van Zelst, Celonis
  • Seppe vanden Broucke, Ghent University
  • Eric Verbeek, Eindhoven University of Technology
  • Hagen Völzer, University of St.Gallen
  • Lijie Wen, Tsinghua University
  • Karolin Winter, Eindhoven University of Technology