BPM-D 2025
BPM 2025 Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum

Table of Contents

• Preface

Dissertation Award

• Action-Oriented Process Mining: From Insights to Actions (Extended Abstract) 1-5
  Gyunam Park
• Process and Resource-Aware Responsible Recommender Systems (Extended Abstract) 6-10
  Alessandro Padella
• Automate It All! Revamping the Outsourcing Industry (Extended Abstract) 11-15
  Antonio Martínez-Rojas

Doctoral Consortium

• Green BPM Solutions for Sustainable Business Processes 16-24
  Finn Klessascheck
• Cyber Security for Business Processes: Automating Security Enhancement Along Process Lifecycle 25-31
  Moshe Hadad
• Advancing Data-Driven Business Process Simulation: From Valid Models to Valuable Insights 32-39
  Robert Blümel
• Federated Stochastic Process Discovery: Definition, Benefits, and Challenges 40-45
  Hootan Zhian
• Visual Process Mining over Time and Space 46-55
  Christoffer Rubensson
• Using Process Mining to Connect Process Orientation and Data-driven Decision Making in Healthcare: a Qualitative Assessment and Integration of New Data Sources 56-63
  Maxim Riebus
• Unlocking Nursing Work Organization Insights through Integrated HIS and RTLS Data: Novel Methods and Applications 64-71
  Haroon Tharwat
• A BPM-based Approach to Executing Contextualized Actions in Multidomain IoT Systems 72-79
  Adrián Bazan-Muñoz
• Embedding Benevolence into Business Processes - AI-Enabled Routinized Benevolence 80-87
  Thamali Chandrasiri
• Exploiting and Predicting System-Wide Behaviors for Predictive Process Monitoring 88-95
  Xiaomeng He
• Cognitive Elements in Exploratory Process Analysis: From Novice to Expert 96-103
  Gythe Stans
• A Framework for Multidimensional Business Process Forecasting 104-111
  Aurélie Leribaux
• Stochastic Process Mining 112-119
  Tian Li
• Unveiling Dynamics Between Robotic Process Automation and Process Knowledge Loss 120-127
  Ishadi Upeksha Meekotuwa Mirispelakotuwa
• Explainable Fully Automated Business Process Redesign 128-135
  Maximilian Harl
• Knowledge Graph Reasoning for Intelligent and Explainable Business Process Technologies 136-143
  Leon Bein
• Impact of Process Mining Tools on Process Analysis 144-151
  Dries Jarijch
• Compliance Checking: from Object-Centric Process Mining to Blockchain 152-159
  Alessio Galassi
• Modeling and Verifying Environment‑aware BPMN Collaborations 160-167
  Jessica Piccioni

Demonstration and Resources Forum

• BPMNinvest: Feedback on Change in Process Models 168-175
  Thomas M. Prinz, Yongsun Choi
• Capturing Environmental Impacts of Business Processes with Camunda and the SOPA Framework 176-183
  Finn Klessascheck, Yannic Seibert, Luise Pufahl
• Easy and Efficient Object-Centric Process Querying with the OCPQ Tool 184-191
  Aaron Küsters, Wil van der Aalst
• FrAIm: A What-If Analysis Tool Enabling Framed Autonomy via Automated Planning 192-199
  Paul Wittlinger, Giacomo Acitelli, Anti Alman, Fabrizio Maria Maggi, Andrea Marrella
• BEAR 2.0: Enhancing the Environment Model for Animating Environment‑aware BPMN Collaborations 200-207
  Flavio Corradini, Luca Mozzoni, Jessica Piccioni, Barbara Re, Lorenzo Rossi, Francesco Tiezzi
• PyStack't: Real-Life Data for Object-Centric Process Mining 208-215
  Lien Bosmans, Jari Peeperkorn, Johannes De Smedt
• Kogi: A Tool for Assessing High‑Level Business Process Compliance 216-223
  Juanita Caballero Villalobos, Hugo A. López
• Process Copilots: Scaling Process Mining Through Conversational Interfaces 224-231
  Carolin Ullrich, Teodora Lata, Alexander Seeliger
• A Business Process Simulation Tool Bridging Control‑Flow and Resource‑Centric Paradigms 232-239
  Jack Edh, Tuva Falk, Filip Kanon, Erik Simonsson, Hugo Sjödin, Jonatan Wincent, Elisabeth Barar, Robert Blümel, Lukas Kirchdorfer
• GymPN: a Python Library for Automated Decision‑Making in Process Management Systems 240-247
  Riccardo Lo Bianco, Willem van Jaarsveld, Remco Dijkman
• BROOM: Toolbox for IoT‑Enhanced Process Mining 248-255
  Christian Imenkamp, Yannis Bertrand, Joscha Grüger, Lukas Malburg, Marco Franceschetti, Matthias Ehrendorfer, Agnes Koschmider
• DCR‑JS: An Online Environment for Declarative Process Mining 256-263
  Axel K.F. Christfort, Hugo A. López
• A Visual Analytics Tool for Multi‑Dimensional Resource Insights in Process Mining 264-271
  Alana Hoogmoed, Maximilian Schoditsch, Djordje Djurica
• FairLoop: Software Support for Human‑Centric Fairness in Predictive Business Process Monitoring 272-279
  Felix Möhrlein, Martin Käppel, Julian Neuberger, Sven Weinzierl, Lars Ackermann, Martin Matzner, Stefan Jablonski
• A Training Framework for BPM Modeling Interviews Based on LLM Assistants 280-287
  Bedilia Estrada‑Torres, José Antonio Parejo, Armando Fox, Pablo Fernández
• A Collection of Publicly Available Event Logs Enhanced by Metadata 288-295
  Ana Costa, Selin Y. Eroglu, Kerstin Andree, Luise Pufahl
• BPMN‑Chatbot++: LLM‑Based Modeling of Collaboration Diagrams with Data 296-303
  Aya Safan, Julius Köpke
• AutoBPMN.AI: Conversational Process Modeling and Automation 304-311
  Nataliia Klievtsova, Matthias Ehrendorfer, Juergen Mangler, Stefanie Rinderle‑Ma
• Sequen‑C Explorer for Process Mining 312-319
  Luis Montana, Maria‑Cruz Villa‑Uriol
• A Library for Detecting Inconsistencies in Declarative Process Models 320-327
  Sabine Nagel, Patrick Delfmann
• Declarative Process Mining with MINERful, Reloaded 328-335
  Cecilia Iacometta, Claudio Di Ciccio