ELA AI Triangle Workshop on Process Mining

9.30 – 10.00: Welcome coffee

10.00 – 10.15: Short introduction to ELA AI Triangle

10.15 – 12.15: Workshop – part I

• Session A
  • Istvan Koren (RWTH) – “Process Mining in the Internet of Production”
  • Giovanni Lugaresi (KU Leuven) – “Process mining as catalyst of digital twins for production planning and control: research challenges and future developments”
  • Bianka Bakullari (RWTH) – “High-Level Event Mining”
  • Yannis Bertrand (KU Leuven) – “Approaches for integrating IoT data in outcome-oriented predictive process monitoring”
• Session B
  • Ava Swevels (TU/e) – “Event Knowledge Graphs: Enabling Object-Centric Process Mining and More”
  • Niklas Adams (RWTH) – “Improving Process Mining Using Object-Centric Event Data”
  • Alexandre Goossens (KU Leuven) – “Extracting Process-Aware Decision Models from Object-Centric Process Logs”
  • Nina Graves (RWTH) – “Process Mining for Good”
    

12.15 – 13.45: Lunch

13.45 – 15.45: Workshop – part II

• Session C
  • Alexander Stevens (KU Leuven) – “Generating Feasible and Plausible Counterfactual Explanations for Predictive Process Analytics”
  • Marco Pegoraro (RWTH) – “Uncertainty and stochastic methods in process mining: current landscape and open challenges”
  • Jakob De Moor (KU Leuven) – “Balancing Realism and Simplicity: A Synthetic Dataset Approach for Comprehensive Model Benchmarking in Prescriptive Process Monitoring”
  • Haseeb Tariq (TU/e) – “Capturing complex money laundering flows using (temporal) graphs”
• Session D
  • Ali Norouzifar (RWTH) – “Process Variant Analysis Across Continuous Features”
  • Yongbo Yu & Jente Van Belle (KU Leuven) – “Forecasting business process models”
  • Mitchel Brunings (TU/e) – “How to use Local Process Models (LPMs)?”
  • Viki Peeva (RWTH) – “Local Process Models”
    

15.45 – 16.30: Coffee break

16.30 – 18.30: Workshop – part III

• Session E
  • Brecht Wuyts (KU Leuven) – “A novel transformer-based architecture for multi-task predictive process monitoring”
  • Alessandro Berti (RWTH) – “Large Language Models and Process Mining: Current State and Future Developments”
  • Jari Peeperkorn (KU Leuven) – “Validation set sampling strategies for predictive process monitoring”
  • Harry Beyel (RWTH) – “Applying Process Mining to Connected-Vehicle Data”
• Session F
  • Eva Klijn (TU/e) – “Describing and Analyzing Actor Dynamics in a Process using Event Knowledge Graphs”
  • Lukas Liß (RWTH) – “Object-Centric Alignments”
  • Dominique Sommers (TU/e) – “Exposing and interpreting deviations on inter-object dependencies”
  • TBD (KU Leuven) – “TBD”

18.30 – 21.00: Closing dinner (by invitation only)