Personal details

Name
Associate Professor Moe Wynn
Position(s)
Associate Professor
Science and Engineering Faculty,
Information Systems,
Business Process Management
Discipline *
Information Systems
Phone
+61 7 3138 9385
Fax
+61 7 3138 1969
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD LinkedIn
Qualifications

Doctor of Philosophy (Queensland University of Technology), Master of Information Technology (Research) (Queensland University of Technology)

Professional memberships
and associations

I am a member of IEEE Taskforce on Process Mining and a member of Women in Technology (WiT).

 

Keywords

Business Process Management, Process Oriented Data Mining, Process Mining, Data Quality, (Robotic) Process Automation, Comparative Process Mining

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

Research theme: Information; Research discipline: Information Systems

Discipline Leader, Business Process Management Discipline (April 2017 – )

I am one of the leading researchers in the field of Business Process Management (BPM) as evidenced by: my internationally recognised contributions to the formal foundations of process modelling, verification, automation, and process data analytics (process mining); my first-hand experience with developing open-source software artefacts; and, my extensive experience in delivering industry-informed research outcomes.

Over the last 12 years my emphasis in the field of BPM has shifted from process automation (the topic of my PhD) to process mining. My work in process automation resulted in significant theoretical contributions to the workflow language YAWL. The shift to process mining has focused on areas that are only emerging, notably data quality, resource analysis, and comparative analysis. I have a long-standing track record of successful collaborations with BPM researchers around the world. I co-authored high-quality publications with 50+ colleagues from 10+ universities/organisations around the world (20 being QUT past/current staff and students).

I am a pioneer in delivering impactful outcomes using research-informed process-oriented data mining (process mining) techniques for Australian industry stakeholders. I have already supported Australian stakeholders, in a range of sectors including healthcare, insurance, utility, retail, government and education to pinpoint inefficiencies and derive concrete performance improvements.

As leader of the BPM discipline, I re-established and steered large collaborative research themes in three BPM core areas: process automation, process mining and process management. I successfully established a collaborative initiative on Robotic Process Automation (RPA) in 2018; and started a new initiative on Privacy-Preserving Analytics in Healthcare in 2019.

I have actively contributed to defining the core body of knowledge in my discipline and progressing the BPM education agenda in various capacities. Since the inception of the Master of Business Process Management course (MBPM) at QUT in 2008, I have made significant contributions to the course design and delivery, including incorporating real world industry practices to unit offerings, delivery of multiple BPM units, and supervision of BPM student projects.  I co-designed the Graduate Certificate in Business Process Management (GCBPM) curriculum in 2016 as both a standard and corporate award, to support the flexible delivery of post-graduate BPM units in different modes. I was the course coordinator of MBPM (2015 – 2017) and I have been the course coordinator of GCBPM (IN25, IZ25) since 2017. I now oversee and contribute to the design, delivery and ongoing review and improvement of the Master of BPM, the Graduate Certificate in BPM, the BPM minor in Bachelor of IT program and the BPM major in the Master of IT, at QUT.

As Academic Director (Corporate Programs and Engagement) for the School of Information Systems since June 2017, I ensure successful governance, quality assurance and delivery of BPM CPE courses to industry participants.

I have also made significant contributions to QUT’s strategic planning and implementation at the discipline, school and faculty levels through my various leadership roles within QUT (as a discipline leader, an executive member of School of Information Systems, a member of SEF’s positive culture working party, a member of SEF’s Faculty restructure and diversity working groups).

Researcher Profile:

  • Awarded a PhD on the topic of “Semantics, Verification, and Implementation of Workflows with Cancellation Regions and OR-joins” from QUT in Nov 2006
  • Published 80+ refereed research papers including 28 journal articles, 28 refereed conference papers and 10 international workshop papers, 13 book chapters and 1 edited conference proceedings
  • Attracted external funds for QUT in excess of AUD $5 million as a chief investigator across 16 research programs since 2011 (five Category 1 grants, seven Category 2 grants, three Category 3 grants and one Category 4 grant)
  •  Google h-index: 26, 3000+ citations; Scopus h-index: 19, 65 papers, 1400+ citations (April 2019)
  • Researcher and Member within IEEE taskforce on Process Mining
  • Research interests: Comparative process mining, Process-oriented data mining, Process data provenance, Robotic process automation, Business process analytics (simulation, monitoring, mining), Workflow patterns and Yet Another Workflow Language, Petri nets and Reset nets
This information has been contributed by Associate Professor Moe Wynn.

Teaching

Teaching discipline: Information Systems

Teaching interests:

  • Business process modelling
  • Business process automation
  • Business process analytics
  • Workflow management
  • Information systems
  • Database technologies

2019 Semester 2 Teaching

  • IFN650 Business Process Analytics (Unit Coordinator and Lecturer)

2016-2018 Teaching

  • IFN650 Business Process Analytics (Unit Coordinator and Lecturer/Tutor)
  • IAB321 Business Process Technologies (Unit Coordinator and Lecturer/Tutor)
This information has been contributed by Associate Professor Moe Wynn.

Experience

My relationship with industry is a fundamental part of my research approach and critical in solving their practical challenges. I use the Design Science research methodology (Hevner et al., 2004) and the three research cycles of relevance, design and rigour to create novel techniques and outcomes for multiple industry partners over the last twelve years. During 2017 – 2019 (to date), my sustained efforts to advance foundational and applied BPM research through funded grants resulted in attracting seven grants – over AUD $1.5 million.

Process mining combines data mining, process management and visualisation techniques to extract valuable insights from historical event data. I have worked with colleagues and students over the past ten years to develop novel process mining algorithms that are implemented within open-source software frameworks. I have supported Australian stakeholders, in a range of sectors including healthcare, insurance, utility, retail, government and education to pinpoint inefficiencies and derive concrete performance improvements. During the period 2017-2019 (to date), I have undertaken seven funded industry projects (4 ongoing, 3 completed).

This information has been contributed by Associate Professor Moe Wynn.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Awards

Awards and recognition

Type
Funding Award
Reference year
2019
Details
I secured over AUD $5 million as a chief investigator (CI) across 16 research programs since 2011 including 5 Category 1 grants (3 Discovery and 1 Linkage), 7 Category 2 grants, 3 Category 3 grants and 1 Category 4 grant.
Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2019
Details
I am a recipient of QUT Vice-Chancellor's Excellence Award (individual) for exceptional sustained performance and outstanding achievement in two categories (Research, Partnerships and Engagement) in 2018.
Type
Advisor/Consultant for Industry
Reference year
2019
Details
I am a pioneer in delivering impactful outcomes using research-informed process-oriented data mining (process mining) techniques for Australian industry stakeholders. I have already supported Australian stakeholders, in a range of sectors including healthcare, insurance, utility, retail, government and education to pinpoint inefficiencies and derive concrete performance improvements.
Type
Committee Role/Editor or Chair of an Academic Conference
Reference year
2019
Details
I am a co-chair of the second International Conference on Process Mining (ICPM 2020).
Type
Other
Reference year
2013
Details
I hold a joint US patent with SAP on the Evaluation of Synchronization Gateways in Process Models (Filed: Nov 7, 2007, Patent# 8418178 (02007P00465US), Date: April 9, 2013). Inventors: Marlon G. Dumas, Alexander Grosskopf, Thomas Hettel and Moe T. Wynn.
Type
Other
Reference year
2019
Details
I am a member of the IEEE Taskforce on Process Mining. I am a working group member of the IEEE standardisation of eXtensible Event Stream (XES) and involved in approving XES certification of commercial and open-source process mining tools.
Type
Assessor, Examiner or Supervisor Role
Reference year
2019
Details
As an international BPM researcher and educator, I serve as co-chairs for conferences and workshops, as a program committee member for international conferences, a grant assessor for the ARC research council, a PhD thesis examiner, and a reviewer of international journals.
Type
Keynote Speaker/Expert Panel Member/Invited Speaker for a Conference
Reference year
2018
Details
I was a speaker presenting the potential benefits of process mining at the Hitachi Innovation Forum 2018 held in Sydney. I also was on the panel for Process Intelligence Enabling Digital Transformation at the Forum.
Type
Reviewer for an Academic Journal
Reference year
2019
Details
I continue to act as a reviewer for many international journals in the BPM field including Decision Support Systems, Information Systems, Computers in Industry, Computing, Journal of Distributed And Parallel Databases, Transactions on Data and Knowledge Engineering, IEEE Transactions on Systems, Man, and Cybernetics, Information Processing Letters, Government Information Quarterly, Journal of Enterprise Modelling and Information Systems Architecture, ToPNoC Special Issue on Concurrency in Process-Aware Information Systems, Journal of Data and Information Quality, Journal of Software: Practice and Experience.
Type
Committee Role/Editor or Chair of an Academic Conference
Reference year
2013
Details
I have promoted BPM research within the Asia-Pacific region since 2013. I was a co-chair of the first Asia-Pacific Conference on BPM (AP-BPM) in 2013 and the organisation chair of the second AP-BPM in 2014. I also organised and co-chaired a virtual symposium of AP-BPM in 2016 with colleagues from China and Korea.

Research projects

Grants and projects (Category 1: Australian Competitive Grants only)

Title
Improved Business Decision-Making via Liquid Process Model Collections
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP150103356
Start year
2015
Keywords
process mining; process model collection; business process management
Title
Cost-aware business process management
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP120101624
Start year
2012
Keywords
Information System; Business Process Model; Workflow Management; Management Accounting
Title
Reducing variation in clinical practice: a twin track approach to support improved performance
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
Start year
2012
Keywords
Clinical Practice; Cost-Effectiveness; Performance; Process Mining
Title
Risk-Aware Business Process Management
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP110100091
Start year
2011
Keywords
Risk Management; Information System; Business Process Model; Workflow Management

Supervision

Current supervisions

Completed supervisions (Doctorate)

Completed supervisions (Masters by Research)