Program Committee Chairs
Stefanie Rinderle-Ma
Technical University of Munich, Germany

Jorge Munoz-Gama
Pontificia Universidad Católica de Chile, Chile

Arik Senderovich
York University, Canada

Arik is an Assistant Professor (tenure-track) at the School of Information Technologies (ITEC) at York University. He is also a status-only Assistant Professor at the Rotman School of Management (University of Toronto). Prior to joining ITEC he held Assistant Professor positions at the Rotman School of Management and the iSchool (both at the University of Toronto). Arik is also the Scientific Advisor of mindzie, a process mining Startup, which has a vibrant R&D center in Toronto (www.mindzie.com).
Workshop Chairs
Pnina Soffer
University of Haifa, Israel

Johannes De Smedt
KU Leuven, Belgium

Johannes is an Assistant Professor in Information Systems at the Information Systems Engineering Research Group at KU Leuven. Before he held the Dixons Carphone Lectureship in Business Analytics at the University of Edinburgh. His research interests focus on data-driven process analytics including XAI in predictive process monitoring and process model forecasting. He has published in numerous leading outlets including the International Conference on Process Mining/Advanced Information Systems Engineering/Business Process Management for which he also serves in the programme committee, as well as journals such as IEEE Transactions on Knowledge and Data Engineering/Services Computing, Information Systems, Decision Support Systems, and more.
Industry Chairs
Maximilian Röglinger
University of Bayreuth / Fraunhofer FIT – Center for Process Intelligence, Germany

Julian Lebherz
Standard Chartered Bank, Singapore

Demo Chairs
Francesco Leotta
Sapienza University of Rome, Italy

Laura Genga
Eindhoven University of Technology, Netherlands

Laura Genga received her Ph.D. degree in Science of Engineering at the Università Politecnica delle Marche, Italy, in 2016. She is an assistant professor in the Information Systems group at the Eindhoven University of Technology, the Netherlands. Her research revolves around data-driven process analysis and enhancement. 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 to, e.g., react to and mitigate potentially undesired situations.
Doctoral Consortium Chairs
Cristina Cabanillas
University of Seville, Spain

Jan Martijn van der Werf
Utrecht University, Netherlands

Jan Martijn van der Werf is an assistant professor at Utrecht University, Utrecht, The Netherlands. He received a dual PhD in Computer Science in 2011 at Eindhoven University of Technology and at Humboldt Universität zu Berlin. His research focuses on how process mining can be used to support IT architects and how formal methods can be used to understand large systems. In particular, he studies the robustness of process mining results, and how statistical methods such as sampling can be used to improve process mining results. He is interested in modelling and analysing the interplay between processes and data, and how such combined models can be retrieved from large software systems. Apart from modelling railroads, he is also passionate about teaching, especially how we can improve teaching critical thinking in modelling.
Best PhD Dissertation Award Chairs
Mieke Jans
Hasselt University, Belgium

Mieke Jans is Associate Professor in the Business Informatics Research Group at Hasselt University and at the Accounting Information Management department at Maastricht University. Her research interests span different areas, creating synergies between the fields of Business Process Management, Process Mining, Information Systems and Auditing. Mieke has a focus on Audit Analytics, with an emphasis on process mining in the context of auditing financial statements, published numerous articles in international peer-reviewed scientific journals, and (co-)authored several books. Member of the Steering Committee of the IEEE Task Force on Process Mining, Mieke is actively involved in community serving. She also leads the Scientific Research Community on Process Mining, and is Associate Editor and reviewer for various journals.
Artem Polyvyanyy
The University of Melbourne, Australia

Discovery Contest Organizer
Eric Verbeek
Eindhoven University of Technology, Netherlands

Eric is the scientific programmer in the Process Analytics group of the Mathematics & Computer Science department of the Eindhoven University of Tehcnology. As such, he is the custodian of the process mining framework ProM. In you want access to the ProM repository, or have any questions related to ProM and its development, ask Eric. Recently, he has been working on a decomposition framework for both process discovery as conformance checking in ProM, Log Skeletons and on the S-component-based discovery technique called DiSCover. Earlier, he also worked on ExSpect and Woflan.
Publicity Chairs
Francesca Zerbato
University of St. Gallen, Switzerland

Simone Agostinelli
Sapienza University of Rome, Italy

Simone Agostinelli received his Ph.D. in Engineering in Computer Science from Sapienza Università di Roma in 2022. He is currently a postdoctoral research fellow in Engineering in Computer Science at Sapienza Università di Roma. In 2019, he received the Forum Award at the 31st International Conference on Advanced Information Systems Engineering (CAiSE’19). His main research interest focuses on synthesizing strategies for Robotic Process Automation via Process Mining and Automated Planning techniques.
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Sapienza University of Rome
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