Draft:Moe Thandar Wynn

Moe Thandar Wynn is an Australian researcher in Business Process Management. She is a Professor at Queensland University of Technology known for contributions to the field of business process management, workflow management, process automation, and process mining.

Career
Wynn was awarded a PhD from the Queensland University of Technology in Feburary 2007. Her thesis was on the topic of "Semantics, Verification, and Implementation of Workflows with Cancellation Regions and OR-joins" which was completed under the supervision of David Edmond, Arthur ter Hofstede, and Wil van der Aalst.

Wynn's early work in process automation contributed key theoretical contributions to the workflow language YAWL. Since then Dr. Wynn's research has shifted towards process mining and has focused on data quality and its application in the healthcare system, insurance , and more broadly in industry. Wynn has served as vice-chair and steering committee member of the IEEE Task Force on Process Mining. As IEEE Working Group Chair, she serves to re-standardise the eXtensible Event Stream (XES) and input data format for process mining.

Wynn leads the Process Science Academic Program (formerly Business Process Management) at Queensland University of Technology and co-leads the Data For Discovery within QUT’s Centre for Data Science and has been appointed as a member of the Australian Research Council College of Experts for the period of 3 years (2023–2025).

Selected awards and industry projects

 * Holds a joint US patent for the Evaluation of Synchronization Gateways in Process Models
 * Joint research grant Mathematical Decision Support to Optimise Hospital Capacity and Utilisation
 * Joint research grant Improved Businesss Decision-Making via Liquid Process Model Collections
 * QUT Vice-Chancellor’s Excellence Award in 2018 (Research, Partnerships, and Engagement) and for Research Excellence in 2022