Research Track I: Foundations
Trusted Compliance Checking on Blockchain with Commitments: a Model-driven Approach
The dpex-Framework: Towards Full WFMS Support for Decentralized Process Execution
A Reference Data Model to Specify Event Logs for Big Data Pipeline Discovery
Foundations of Collaborative Declare
Declarative Choreographies with Time and Data
Execution Semantics for Process Choreographies with Data
Large Language Models for Business Process Management: Opportunities and Challenges
Research Track II: Engineering
Predicting Unseen Process Behavior Based on Context Information from Compliance Constraints
The Interplay Between High-Level Problems And The Process Instances That Give Rise To Them
Adding the sustainability dimension in process mining discovery algorithms evaluation
Steady State Estimation for Business Process Simulations
Analytics Pipeline for Process Mining on Video Data
An SQL-Based Declarative Process Mining Framework for Analyzing Process Data Stored in Relational Databases
Optimizing the Solution Quality of Metaheuristics through Process Mining based on Selected Problems from Operations Research
Resource Allocation in Recommender Systems for Global KPI Improvement
Zooming in for Clarity: Towards low-code modeling for Activity Data Flow
Research Track III: Management
Towards a Theory on Process Automation Effects
Process Mining and the Transformation of Management Accounting: A Maturity Model for a Holistic Process Performance Measurement System
Conversational Process Modelling: State of the Art, Applications, and Implications in Practice
Detecting Weasels at Work: A Theory-driven Behavioural Process Mining Approach
Business Process Management Maturity and Process Performance : A Longitudinal Study
From Automatic Workaround Detection to Process Improvement: A Case Study
The Impact of Leadership on Business Performance: The Role of Process Performance. .