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Email

artem.polyvyanyy@unimelb.edu.au

Credentials


Position
Professor
School of Computing and Information Systems
Education
Graduate Certificate
Queensland University of Technology
PhD
University of Potsdam
Masters
Hasso Plattner Institute
Bachelors Degree
National University of Kyiv-Mohyla Academy
ORCID

0000-0002-7672-1643

Prof Artem Polyvyanyy

Professor
School of Computing and Information Systems

177 Scholarly works
6 Projects

HIGHLIGHTS

  • 2023

    Research contracts (non-grants)

    Journey-to-Process Analytics With Agent System Mining
  • 2022

    Research grants (ARC, NHMRC, MRFF)

    ARC Research Hub for Digital Bioprocess Development
  • 2021

    Journal article

    Conformance checking of partially matching processes: An entropy-based approach
    DOI: 10.1016/j.is.2021.101720
  • 2020

    Journal article

    Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems
    DOI: 10.1145/3387909
  • 2018

    Research Grant

    Diagnosis and Prediction of Business Process Deviances
  • 2018

    Report

    Behavioural Quotients for Precision and Recall in Process Mining
  • 2016

    Journal article

    Impact-Driven Process Model Repair
    DOI: 10.1145/2980764
Artem Polyvyanyy

Latest Honours,
Awards and Fellowships


2022
Knowledge and Information Systems Best Paper Award (KAIS)
2021
Best paper, runner up award at the 3rd International Conference on Process Mining (ICPM)
2021
Best paper award at the 40th International Conference on Conceptual Modeling (ER)
2021
Best paper award at the 33rd International Conference on Advanced Information Systems Engineering (CAiSE)

RECENT SCHOLARLY WORKS

  • 2026

    Journal article

    Object-centric process management: A research manifesto
    DOI: 10.1016/j.is.2026.102728
  • 2026

    Journal article

    Agentic Business Process Management: A research manifesto
    DOI: 10.1016/j.is.2026.102738
  • 2026

    Journal article

    Service Colonies: A Novel Architectural Style for Developing Software Systems with Autonomous and Cooperative Services
    DOI: 10.1145/3821209
  • 2026

    Journal article

    Applying organizational mining to discover agent systems from event data
    DOI: 10.1016/j.is.2025.102669
  • 2026

    Journal article

    SOLID-M: An ontology-aware quality framework for conceptual models discovered from event data
    DOI: 10.1016/j.is.2025.102641
  • 2026

    Book Chapter

    Notes of a Process Scientist: Process Discovery
    DOI: 10.1007/978-3-032-17618-9_26
  • 2026

    Conference Proceedings

    Mind the Gap: On Formal Relationships Between Log Complexity and the Complexity of Discovered Models
    DOI: 10.1007/978-3-032-28110-4_16
  • 2026

    Book Chapter

    A Digital Twin Framework for Bioprocess Development Using IoT Sensor Data
    DOI: 10.1007/978-3-031-90746-3_12

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

Read about our Indigenous priorities

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