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