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BPM 2026 Faculty of Liberal Arts & Professional Studies
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Tutorials

The BPM 2026 Tutorials offer attendees the opportunity to gain in-depth knowledge of emerging topics in Business Process Management through expert-led, interactive sessions. Covering areas such as AI-driven BPM, large language models, process mining, digital twins, and other cutting-edge developments, the tutorials are designed for researchers, practitioners and students seeking practical insights and hands-on learning from leading experts in the field.

Tutorial 1
Tutorial 2
Tutorial 3

Tutorial 1

Neuro-Symbolic AI for BPM: A Tutorial on Predictive and Prescriptive Process Analytics

Presenters

Gyunam Park profile photo

Gyunam Park

Eindhoven University of Technology

Gyunam Park is an Assistant Professor in the Process Analytics cluster of the Department of Mathematics and Computer Science at Eindhoven University of Technology. He is deeply passionate about providing fair, compliant, and transparent solutions to process-related problems. His current research interests are two-fold: (1) designing process mining methods to provide full transparency over processes and support process stakeholders in characterizing critical process problems, and (2) developing responsible machine learning methods that provide responsible solutions to those process problems.

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Fabrizio De Santis

University of Parma

Fabrizio De Santis is a doctoral researcher at the University of Parma. His research focuses on neuro-symbolic AI for process analytics, particularly on injecting domain knowledge into deep predictive models through Logic Tensor Networks. His recent work includes compliance-aware predictive process monitoring, applications in healthcare processes, and fairness in prescriptive process analytics.

Deep learning models such as LSTMs and Transformers dominate today's predictive and prescriptive process monitoring. However, they remain opaque, data-hungry, and unable to leverage the process knowledge organizations already possess in the form of regulations, declarative constraints, and reference models.

Neuro-symbolic AI (NeSy) addresses this challenge by enabling a single model to learn from event data while incorporating explicit domain knowledge. This tutorial provides the BPM community with an accessible introduction to NeSy and its role throughout the process analytics pipeline.

Participants will be introduced to the architectural taxonomy of neuro-symbolic systems and the Learning from Logical Constraints paradigm, along with its primary implementation. Through a series of case studies, the tutorial demonstrates NeSy in action, including compliance-aware predictive monitoring, robust rule injection with pruning, healthcare outcome prediction, and prescriptive process analytics.

The tutorial also explores common pitfalls, such as vacuous satisfaction—where naïve knowledge injection can negatively impact model performance—and discusses practical methods for evaluating whether injected knowledge truly improves results. It concludes with open research challenges and a practical decision framework to help determine when NeSy is an appropriate solution.

No prior experience with neuro-symbolic AI is required. Familiarity with event logs and basic deep learning concepts is sufficient.

Tutorial 2

Green Business Process Management: Approaches, Challenges, and Ways Forward

Presenters

Finn Klessascheck profile photo

Finn Klessascheck

University of Münster, Münster, Germany

Finn Klessascheck is a postdoctoral researcher at the Chair of Information Systems and Business Process Management at the University of Münster and an associate researcher at the Weizenbaum Institute in Berlin. His research explores the integration of normative aspects, specifically environmental sustainability and employee-centredness, into the discipline of business process management, especially into data-driven methods such as process mining and conformance checking. He is particularly interested in how organizations can design their business processes to be more efficient whilst also being more socially and environmentally sustainable. Before joining the University of Münster, he conducted his PhD research at the Technical University of Munich, Campus Heilbronn.

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Luise Pufahl

Technical University of Munich, Heilbronn, Germany

Luise Pufahl leads the Information Systems research group at the School of Computation, Information, and Technology, Technical University of Munich (TUM), located at the TUM Campus Heilbronn. She previously conducted research as a postdoctoral scholar at TU Berlin and as a PhD candidate at the Hasso Plattner Institute, University of Potsdam. Her research focuses on business process management, with particular emphasis on the automation and simulation of resource- and knowledge-intensive processes, as well as data-driven approaches for analyzing regulatory compliance and sustainability in business processes. She has co-authored more than 80 peer-reviewed conference and journal articles and serves on the editorial board of the Business & Information Systems Engineering (BISE) journal.

In light of increasing environmental concerns faced by organizations and society, the Business Process Management (BPM) community has developed the Green BPM sub-field. With a wide array of approaches and capabilities, environmental impacts of business processes can be assessed and reduced, allowing organizations to establish environmentally sustainable practices.

While receiving significant research interest over the last fifteen years, Green BPM is still a marginal topic at the BPM conference, as well as in BPM practice. In this tutorial, we provide a general introduction to Green BPM and present two alternative approaches for integrating notions of environmental sustainability into Green BPM. We discuss challenges associated with the "process lens" of Green BPM from both theoretical and practical perspectives.

Through this tutorial, we aim to create awareness of the rich body of existing Green BPM research and highlight the significant opportunities for further valuable contributions by the BPM research community.

Tutorial 3

In the Object-Centric Zoo: a Petri Net Perspective

Presenters

Marco Montali 550x550

Marco Montali

Free University of Bozen–Bolzano, Italy

Marco Montali is Full Professor of Computer Engineering in the Faculty of Engineering at the Free University of Bozen–Bolzano, Italy, where he also coordinates the BSc programme in Informatics and Management of Digital Business. His research lies at the intersection of artificial intelligence and process science, with a focus on the modelling, analysis, and mining of processes and agents. He is co-author of approximately 300 publications and recipient of 10 Best Paper Awards and two Test-of-Time Awards. Since 2025, he has been an EurAI Fellow, a distinction recognising exceptional scientific achievements in artificial intelligence and awarded to at most 3% of the members of European AI associations.

Andrey Rivkin profile photo

Andrey Rivkin

Technical University of Denmark

Andrey Rivkin is an Associate Professor at the Technical University of Denmark (DTU). His research focus lies on obtaining foundational and applied results in modeling, simulation and formal analysis of processes running in dynamic systems that operate over data as well as studying applications of Formal Methods in process science. He is also passionate about everything that relates to object-centric business process management and mining. Andrey holds a few best paper and best reviewer awards (at conferences such as BPM, CAiSE and EDOC), and continuously serves in several program committees, including BPM, ICPM, PETRI NETS, CAiSE.

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Sarah Winkler

Free University of Bozen-Bolzano, Italy

Sarah Winkler is a tenure-track professor at the Free University of Bozen-Bolzano, Italy. Her research is on the use of formal methods and automated reasoning for process analysis. More generally, she works on the application of AI techniques to process mining and process verification. She previously worked on term rewriting and automated reasoning at the University of Verona, Italy, and the University of Innsbruck, Austria; as well as on program verification and compiler validation at Microsoft Research, Cambridge/UK. She has served in the program committees of more than 35 international conferences, including BPM, IJCAR, IJCAI, CADE, and AAAI.

The recently introduced object-centric paradigm addresses complex processes involving the co-evolution of multiple interrelated objects. In recent years, it has gained significant momentum in both business process management and process mining. This development has led to the emergence of a diverse, yet still poorly systematized, set of modeling approaches, which we collectively refer to as the object-centric zoo.

This tutorial provides a comparative overview of Petri net-based modeling approaches for object-centric processes, with the goal of bringing structure to this growing landscape. It clarifies the purpose and positioning of the different approaches and offers practical guidance for selecting suitable modeling techniques for key tasks such as analysis, simulation, discovery, and conformance checking.

By highlighting the capabilities and relationships among the various approaches, the tutorial aims to foster a coherent understanding of object-centric modeling and support its effective application in both research and practice.