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https://ceur-ws.org/Vol-3783/preface.pdf
Preface to the ICPM 2024 Doctoral Consortium and
Demonstration Track
Jochen De Weerdt1 , Giovanni Meroni2 , Han van der Aa3 and Karolin Winter4
1
KU Leuven, Department of Decision Sciences and Information Management, Faculty of Economics and Business, Naamsestraat 69,
3000 Leuven, Belgium
2
Technical University of Denmark, Department of Applied Mathematics and Computer Science, Richard Petersens Plads Building
324, 2800 Kgs. Lyngby, Denmark
3
University of Vienna, Faculty of Computer Science, Währinger Str. 29, 1090 Vienna, Austria
4
Eindhoven University of Technology, Department of Industrial Engineering and Innovation Sciences, Groene Loper 3, 5612AE
Eindhoven, The Netherlands
This volume contains the papers presented at the Doctoral Consortium and the Demonstration Track
of the 6th International Conference on Process Mining (ICPM 2024), organised by Technical University
of Denmark in Lyngby, Denmark.
The Doctoral Consortium aims to provide valuable feedback on students’ research topics, directions,
methods and plans, to help doctoral candidates pitch their research ideas to peers and senior researchers,
and to promote the development of a community of scholars that will help them in their future
careers. Each of the 12 submitted research proposals has been evaluated by three members of the
program committee, who provided valuable input to the doctoral candidates. Given that all proposals
fit the topic and the aims of the doctoral consortium, all 12 were accepted, allowing all doctoral
candidates to participate in the Consortium. The proposals cover a broad variety of process mining
topics, from traditional tasks such as discovery, conformance checking, and predictions, to considerations
of stochasticity, transparency, and trustworthiness. During the Doctoral Consortium itself, the doctoral
candidates were given a keynote on algorithm engineering, pitched their project proposals, and discussed
different aspects of research in round tables.
The Demonstration Track is intended to showcase innovative Process Mining tools and applications
that may originate either from research initiatives or from industry. In this edition, the track received
35 submissions, of which 24 were accepted. A large variety of tools addressing a broad range of topics
were presented. Among others, those comprised event log generation and manipulation, frameworks,
platforms and editors, process discovery, compliance, and analysis, simulation and visualization. The
contributions demonstrate the commitment of the research community to implementing practical
applications and tools in process mining and to enabling the dissemination and use of valuable research
outcomes to address concrete organisational and societal challenges.
The organisers of the Doctoral Consortium and the Demonstration Track want to express their
gratitude to all individuals, institutions, and sponsors supporting ICPM 2024. Special thanks go to the
Program Committees member whose contributions made the tracks a success.
ICPM Doctoral Consortium and Demo Track 2024
© 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
ceur-ws.org
Workshop ISSN 1613-0073
Proceedings
Organisation
Doctoral Consortium
Chairs
Han van der Aa University of Vienna, Austria
Jochen De Weerdt KU Leuven, Belgium
Program Committee
Sylvio Barbon Junior University of Trieste, Italy
Iris Beerepoot Utrecht University, Netherlands
Cristina Cabanillas University of Seville, Spain
Paolo Ceravolo University of Milan, Italy
Marco Comuzzi Ulsan National Institute of Science and Technology, South Korea
Claudio Di Ciccio Utrecht University, Netherlands
Chiara Di Francescomarino DISI - University of Trento, Italy
Johannes De Smedt KU Leuven, Belgium
Stephan Fahrenkrog-Petersen Weizenbaum-Institut/Humboldt-Universität zu Berlin, Germany
Laura Genga Eindhoven University of Technology, Netherlands
Henrik Leopold Kühne Logistics University, Germany
Gabriel Marques Tavares LMU Munich, Germany
Niels Martin Hasselt University, Belgium
Marco Pegoraro RWTH Aachen University, Germany
Jari Peeperkorn KU Leuven, Belgium
Artem Polyvyanyy The University of Melbourne, Australia
Jana-Rebecca Rehse University of Mannheim, Germany
Arik Senderovich York University, Canada
Tijs Slaats University of Copenhagen, Denmark
Estefanía Serral KU Leuven, Belgium
Matthias Weidlich Humboldt-Universität zu Berlin, Germany
Jan Martijn van der Werf Utrecht University, Netherlands
Demonstration Track
Chairs
Giovanni Meroni Technical University of Denmark, Denmark
Karolin Winter Eindhoven University of Technology, The Netherlands
Program Committee
Simone Agostinelli Sapienza University of Rome, Italy
Abel Armas Cervantes University of Melbourne, Australia
Iris Beerepoot Utrecht University, Netherlands
Thomas Chatain Université Paris-Saclay, France
Marco Comuzzi Ulsan National Institute of Science and Technology, South Korea
Vlad Paul Cosma University of Copenhagen, Denmark
Massimiliano de Leoni University of Padua, Italy
Jochen De Weerdt KU Leuven, Belgium
Chiara Di Francescomarino University of Trento, Italy
Irene Bedilia Estrada Torres University of Seville, Spain
Laura Genga Eindhoven University of Technology, Netherlands
Gert Janssenswillen Hasselt University, Belgium
Ekkart Kindler Technical University of Denmark, Denmark
Sander J.J. Leemans RWTH Aachen, Germany
Francesco Leotta Sapienza University of Rome, Italy
Xixi Lu Eindhoven University of Technology, Netherlands
Felix Mannhardt Eindhoven University of Technology, Netherlands
Niels Martin Hasselt University, Belgium
Massimo Mecella Sapienza University of Rome, Italy
Alex Mircoli Università Politecnica delle Marche, Italy
Roberto Nai University of Turin, Italy
Sara Pettinari University of Camerino, Italy
Domenico Potena Università Politecnica delle Marche, Italy
Mahsa Pourbafrani RWTH Aachen, Germany
Majid Rafiei SAP SE, Germany
Manuel Resinas University of Seville, Spain
Lorenzo Rossi University of Camerino, Italy
Emilio Sulis University of Turin, Italy
Andrea Vandin Sant’Anna School of Advanced Studies, Italy
Additional Reviewers
Sima Sarv Ahrabi Sant’Anna School of Advanced Studies, Italy
Alessio Galassi University of Camerino, Italy
Emilio Incerto IMT School For Advanced Studies Lucca, Italy
Mattia Salnitri Politecnico di Milano, Italy
Francesco Vinci University of Padua, Italy