ICPM 2021: Call for Papers

Call for Research Papers

The International Conference on Process Mining (ICPM) is the premium forum for researchers, practitioners and developers in process mining. The objective is to explore and exchange knowledge in this field through scientific talks, industry discussions, contests, technical tutorials and panels. The conference covers all aspects of process mining research and practice, including theory, algorithmic challenges, applications and connections with other fields.

The conference is technically co-sponsored by the IEEE Computational Intelligence Society, and supported by the IEEE Task Force on Process Mining.

Process mining is an innovative research field which focuses on extracting business process insights from transactional data commonly recorded by IT systems, with the ultimate goal of analyzing and improving organizational productivity along performance dimensions such as efficiency, quality, compliance and risk. By relying on data rather than perceptions gained from interviews and workshops, process mining shifts the way of thinking from “confidence-based” to “evidence-based” business process management. Thus, process mining distinguishes itself within the information systems domain by its fundamental focus on understanding, analyzing, and improving business processes based on process data.

Current process mining challenges include scalability, i.e., dealing with volume, velocity and variability of input data, especially in real-time/online settings using event streams; approximation, i.e., balancing computation time with accuracy; understandability and explainability, i.e., providing easy-to-understand and explainable analytics; multi-perspective analysis, i.e., considering data, resources and time beyond the process control flow; measurability, e.g., providing a comprehensive framework for measuring differences between observed and modelled process behavior, and ethical and confidential aspects of process mining, i.e., how to ensure that process mining procedures and results do not violate ethical and privacy principles.

ICPM 2021 will take place on October 31st-November 4th at the Campus of the Eindhoven University of Technology, The Netherlands.


ICPM 2021 encourages papers on new methodologies, techniques and applications for process mining, as well as case studies coming from industrial scenarios. Also, papers describing novel tools, fundamental research and empirical studies on process mining are expected. For the sake of replicability of the presented studies, the addition of supplementary resources is strongly encouraged, such as: used datasets, a publicly accessible implementation for new techniques, experimental packages for empirical studies. The use of novel, previously unpublished datasets is most welcome. Research on existing datasets must clearly showcase the novelty or unprecedented results of the applied analysis.

Selected, accepted research papers will be considered for publication in an extended and revised form in a special issue of an international journal.

The thematic areas in which contributions are sought include, but are not limited to, those listed below.

Process mining techniques:

      Automated Discovery of Process Models

      Conformance/compliance Analysis

      Construction of Event Logs

      Event Log Quality Improvement

      Decision Mining for Processes

      Rule/constraint-based Process Mining

      Mining from non-process-aware systems / event streams

      Multi-perspective Process Mining

      Simulation/optimization for Process Mining

      Predictive Process Analytics

      Prescriptive Process Analytics and Recommender Systems

      Responsible Process Mining

      Privacy-preserving Process Mining

      Process Model Repair

      Process Performance Mining

      Variants/deviance Analysis and Root-cause Analysis

      Visual Process Analytics

      Process Monitoring

Process mining fundamental research:

      Formal Foundations of Process Mining

      Comparative and Benchmark Studies on Process Mining

      Conceptual Models Related to Process Mining

      Human-centered Studies on Process Mining

      Process Mining Quality Measures

      Process Mining Guidelines

Process mining applications and case studies in:

      Artificial Intelligence

      Blockchain Technologies

      Robotic Process Automation (RPA)

      Business Activity Monitoring and Business Intelligence

      (Cyber) Security and Privacy

      Operations Management and Lean Six Sigma

      Process Performance Measurement

      Process Reengineering

      Resource Management

      Risk Management

      Sensors, Internet-of-Things (IoT) and Wearable Devices

      Specific domains (such as accounting, finance, government, healthcare, manufacturing)


Submissions must be original contributions that have not been published previously, nor submitted elsewhere while being submitted to ICPM 2021.  All files must be prepared using the latest IEEE Computational Intelligence Society conference proceedings guidelines (8.5″ × 11″ two-column format).

The page limit is set to 8 pages (IEEE Format). All papers must be in English. Templates are available for Latex and Word here.

The paper should be submitted through the ICPM 2021 submission system (reachable at https://easychair.org/conferences/?conf=icpm2021) selecting the  “Research Track” option.

At least one author of each accepted contribution is expected to register for the conference and present the paper, along with signing a copyright release form.

Key Dates

      Abstract submissions:  15 June, 2021

      Full-paper submissions: 1 July, 2021

      Notification: 15 August 2021

      Camera-ready submissions: 15 September 2021

      ICPM main conference: 2-4 November 2021


      Abel Armas Cervantes, The University of Melbourne, Australia

      Ahmed Awad, University of Tartu, Estonia

      Robin Bergenthum, FernUniversität in Hagen, Germany

      Andrea Burattin, Technical University of Denmark, Denmark

      Cristina Cabanillas, Vienna University of Economics and Business, Austria

      Josep Carmona, Universitat Politècnica de Catalunya, Spain

      Paolo Ceravolo, Università degli Studi di Milano, Italy

      Thomas Chatain, LSV, ENS Paris-Saclay

      Marco Comuzzi, Ulsan National Institute of Science and Technology, South Korea

      Benjamin Dalmas, Mines Saint-Etienne, France

      Massimiliano de Leoni, University of Padua, Italy

      Johannes De Smedt, The University of Edinburgh, UK

      Jochen De Weerdt, Katholieke Universiteit Leuven, Belgium

      Søren Debois, IT University of Copenhagen, Denmark

      Pavlos Delias, International Hellenic University, Greece

      Benoît M. Depaire, Hasselt University, Belgium

      Remco Dijkman, Eindhoven University of Technology, The Netherlands

      Marlon Dumas, University of Tartu, Estonia

      Joerg Evermann, Memorial University of Newfoundland, Canada

      Dirk Fahland, Eindhoven University of Technology, The Netherlands

      Francesco Folino, ICAR-CNR, Italy

      Avigdor Gal, Technion, Israel

      Walid Gaaloul, Computer Science Department Télécom SudParis, France

      Luciano García-Bañuelos, Tecnológico de Monterrey, Mexico

      Chiara Ghidini, Fondazione Bruno Kessler, Italy

      Gianluigi Greco, University of Calabria, Italy

      Daniela Grigori, Laboratoire LAMSADE, University Paris-Dauphine

      Antonella Guzzo, University of Calabria, Italy

      Mieke Jans, Hasselt University, Belgium

      Gert Janssenswillen, Hasselt University, Belgium

      Anna Kalenkova, The University of Melbourne, Australia

      Christopher Klinkmüller, Data61|CSIRO, Australia

      Agnes Koschmider, Kiel University, Germany

      Manuel Lama Penin, University of Santiago de Compostela, Spain

      Sander J.J. Leemans, Queensland University of Technology, Australia

      Henrik Leopold, Kühne Logistics University, Germany

      Irina Lomazova, National Research University Higher School of Economics, Russia

      Xixi Lu, Utrecht University, The Netherlands

      Fabrizio Maria Maggi, Free University of Bozen-Bolzano, Italy

      Felix Mannhardt, Eindhoven University of Technology, The Netherlands

      Andrea Marrella, Sapienza University of Rome, Italy

      Niels Martin, Hasselt University, Belgium

      Raimundas Matulevičius, University of Tartu, Estonia

      Massimo Mecella, Sapienza University of Rome, Italy

      Jan Mendling, Wirtschaftsuniversität Wien, Austria

      Marco Montali, Free University of Bolzano-Bozen, Italy

      Hamid Motahari, EY AI Lab Palo Alto, USA

      Jorge Munoz-Gama, Pontificia Universidad Católica de Chile, Chile

      Artem Polyvyanyy, The University of Melbourne, Australia

      Luigi Pontieri, National Research Council of Italy – CNR, Italy

      Luise Pufahl, Humboldt-Universität zu Berlin, Germany

      Hajo A. Reijers, Utrecht University, The Netherlands

      Manuel Resinas, University of Seville, Spain

      Stefanie Rinderle-Ma, University of Vienna, Austria

      Arik Senderovich, University of Toronto, Canada

      Marcos Sepúlveda, Pontificia Universidad Católica de Chile, Chile

      Tijs Slaats, University of Copenhagen, Denmark

      Minseok Song, Pohang University of Science and Technology, South Korea

      Arthur ter Hofstede, Queensland University of Technology, Australia

      Han van der Aa, University of Mannheim, Germany

      Wil van der Aalst, RWTH Aachen University, Germany

      Boudewijn van Dongen, Eindhoven University of Technology, The Netherlands

      Sebastiaan J. van Zelst, Fraunhofer Institute – FIT & RWTH Aachen University, Germany

      Seppe Vanden Broucke, Katholieke Universiteit Leuven, Belgium

      Eric Verbeek, Eindhoven University of Technology, The Netherlands

      Barbara Weber, University of St. Gallen, Switzerland

      Matthias Weidlich, Humboldt-Universität zu Berlin, Germany

      Moe Thandar Wynn, Queensland University of Technology, Australia


General Chair:

      Boudewijn van Dongen, Eindhoven University of Technology, The Netherlands


Program Committee Chairs:

      Claudio Di Ciccio, Sapienza University of Rome, Italy

      Chiara Di Francescomarino, FBK Trento, Italy

      Pnina Soffer, University of Haifa, Israel

  • News created on December 17 2020, 12:21.
  • This news has been updated on December 17 2020, 12:25
  • Author: Felix Mannhardt