Skip to content

DTU - Process Science Lab

The DTU Process Science Lab (PSL) is an initiative organized by faculty members of the Software Systems Engineering section of DTU Compute. The ultimate goal of the lab is to coordinate research activities involving Process Science (including Process Mining and BPM). More specifically, the goal of the lab is:

To model and monitor human-centric and flexible processes using data-driven techniques providing verifiable and explainable outcomes.

To achieve this goal, the lab leverages techniques stemming from formal methods, data science, software engineering and information systems.

Recent events organized by lab members

  • 2023-11-01: Hugo Lopez and co-authors win the Best Demonstration Award at CoopIS 2023 for their work "An Open-Source Modeling Editor for Declarative Process Models"
  • 2023-10-26: Andrea Burattin and co-authors win the Best Workshop Paper Awards at PODS4H for their work "I-PALIA: Discovering BPMN Processes with Duplicated Activities for Healthcare Domains" and at EdbA for "Tiramisu: A Recipe for Visual Sensemaking of Multi-Faceted Process Information"
  • 2023-09-11: Andrey Rivkin co-organizes the Formal Methods for Business Process Management (FM-BPM) and Object-centric processes from A to Z (OBJECTS) workshops
  • 2023-09-13: Andrea Burattin chairs the Engineering Track of BPM 2023

See all events.

Current lab members

See all members.

Contacts

You can reach any member of the lab by using the email listed in the link on the corresponding pages or just write to Andrea Burattin.