World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
7328
World Ranking
11965
National Ranking
365

Overview

Moe Thandar Wynn is affiliated with Queensland University of Technology in Australia. Their research spans several interconnected fields, focusing primarily on business and management, computer science, and decision sciences. This diverse academic background supports a multidisciplinary approach, particularly in areas related to information systems and process mining.

The scientist has contributed to multiple publications and participates actively in various research venues. Key journals and conferences where their work appears include:

  • Business & Information Systems Engineering
  • Information Systems
  • Artificial Intelligence in Medicine
  • IEEE Access
  • Journal of Biomedical Informatics

Moe Thandar Wynn's work is often interconnected with several frequent coauthors, indicating ongoing collaborations. Their main collaborators include:

  • Sander J. J. Leemans
  • Arthur H. M. ter Hofstede
  • Robert Andrews
  • Maximilian Röglinger
  • Kanika Goel

The scientist's research topics focus on several core areas such as business process modeling and analysis, data quality and management, and big data and business intelligence. Their main research themes cover:

  • Business Process Modeling and Analysis
  • Data Quality and Management
  • Big Data and Business Intelligence
  • Service-Oriented Architecture and Web Services
  • Semantic Web and Ontologies
  • Robotic Process Automation Applications
  • Manufacturing Process and Optimization

Within their subfields of study, the emphasis is on management information systems, management science and operations research, and information systems, alongside artificial intelligence and industrial and manufacturing engineering:

  • Management Information Systems
  • Management Science and Operations Research
  • Information Systems
  • Artificial Intelligence
  • Industrial and Manufacturing Engineering

Moe Thandar Wynn has authored and contributed to several recent papers, highlighting specific healthcare and process mining challenges. These include:

  • "Process mining for healthcare: Characteristics and challenges," 2022, Journal of Biomedical Informatics
  • "Sepsis-associated acute kidney injury in the intensive care unit: incidence, patient characteristics, timing, trajectory, treatment, and associated outcomes. A multicenter, observational study," 2023, Intensive Care Medicine
  • "Privacy-Preserving Process Mining in Healthcare," 2020, International Journal of Environmental Research and Public Health
  • "Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study," 2021, Business & Information Systems Engineering
  • "Digital Health Data Quality Issues: Systematic Review," 2023, Journal of Medical Internet Research

In addition, Wynn has contributed to book publications including a title released by Springer Science+Business Media:

  • Business Process Management Forum, 2021

Best Publications

  • Process Mining Manifesto

    Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri

  • Soundness of workflow nets: classification, decidability, and analysis

    W. M. P. van der Aalst;K. M. van Hee;A. H. M. ter Hofstede;N. Sidorova

  • Robotic Process Automation: Contemporary themes and challenges

    Rehan Syed;Suriadi Suriadi;Michael Adams;Wasana Bandara

  • Process mining for healthcare: Characteristics and challenges

    Unknown

  • Event log imperfection patterns for process mining

    S. Suriadi;R. Andrews;A.H.M. ter Hofstede;M.T. Wynn

  • Workflow simulation for operational decision support

    A. Rozinat;M. T. Wynn;W. M. P. van der Aalst;A. H. M. ter Hofstede

  • Business process verification – finally a reality!

    MT Wynn;Hmw Eric Verbeek;van der Wmp Wil Aalst;ter Ahm Arthur Hofstede

  • Process Mining for Clinical Processes: A Comparative Analysis of Four Australian Hospitals

    Andrew Partington;Moe Wynn;Suriadi Suriadi;Chun Ouyang

  • Are we done with business process compliance: state of the art and challenges ahead

    Mustafa Hashmi;Guido Governatori;Ho-Pun Lam;Moe Thandar Wynn

  • Achieving a general, formal and decidable approach to the OR-Join in workflow using reset nets

    Moe Thandar Wynn;David Edmond;W. M. P. van der Aalst;A. H. M. ter Hofstede

  • Current Research in Risk-Aware Business Process Management – Overview, Comparison, and Gap Analysis

    Suriadi Suriadi;Burkhard Weiss;Axel Winkelmann;Arthur ter Hofstede

  • Directly Follows-Based Process Mining: Exploration & a Case Study

    Sander J.J. Leemans;Erik Poppe;Moe T. Wynn

  • Understanding process behaviours in a large insurance company in Australia: a case study

    Suriadi Suriadi;Moe T. Wynn;Chun Ouyang;Arthur H. M. ter Hofstede

  • Business process simulation for operational decision support

    Moe Thandar Wynn;Marlon Dumas;Colin J. Fidge;Arthur H. M. Ter Hofstede

  • Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study

    Niels Martin;Niels Martin;Dominik Andreas Fischer;Georgi Dimov Kerpedzhiev;Kanika Goel

  • Workflow Simulation for Operational Decision Support Using Design, Historic and State Information

    Anne Rozinat;Moe T. Wynn;Wil M. van der Aalst;Arthur H.M. ter Hofstede

  • Privacy-preserving process mining in healthcare

    Anastasiia Pika;Moe T. Wynn;Stephanus Budiono;Arthur H.M. ter Hofstede

  • Normative requirements for regulatory compliance: An abstract formal framework

    Mustafa Hashmi;Guido Governatori;Moe Thandar Wynn

  • Predicting deadline transgressions using event logs

    Anastasiia Pika;Wil M. P. van der Aalst;Wil M. P. van der Aalst;Colin J. Fidge;Arthur H. M. ter Hofstede;Arthur H. M. ter Hofstede

  • Semantics of standard process models with OR-joins

    Marlon Dumas;Alexander Grosskopf;Thomas Hettel;Moe Wynn

  • Measuring Patient Flow Variations: A Cross-Organisational Process Mining Approach

    Suriadi Suriadi;Ronny Mans;Moe Thandar Wynn;Andrew Partington

  • Workflow simulation for operational decision support using YAWL and ProM

    A Anne Rozinat;MT Wynn;van der Wmp Wil Aalst;ter Ahm Arthur Hofstede

Frequent Co-Authors

Arthur H. M. ter Hofstede
Arthur H. M. ter Hofstede Queensland University of Technology
Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Michael Adams
Michael Adams University of Birmingham
Guido Governatori
Guido Governatori Central Queensland University
Marlon Dumas
Marlon Dumas University of Tartu
H. M. W. Verbeek
H. M. W. Verbeek Eindhoven University of Technology
Michael Rosemann
Michael Rosemann Queensland University of Technology
Marcello La Rosa
Marcello La Rosa University of Melbourne
Minseok Song
Minseok Song Pohang University of Science and Technology
Boudewijn F. van Dongen
Boudewijn F. van Dongen Eindhoven University of Technology

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