World's Best Scientists 2026 revealed!

Overview

Artem Polyvyanyy is affiliated with the University of Melbourne in Australia and has contributed extensively to the fields of Computer Science and Business, Management and Accounting. Their research spans multiple subfields including Management Information Systems, Information Systems, Industrial and Manufacturing Engineering, Artificial Intelligence, and Management Science and Operations Research.

The main topics addressed in their work cover a broad range of areas such as Business Process Modeling and Analysis, Service-Oriented Architecture and Web Services, Semantic Web and Ontologies, Data Quality and Management, Big Data and Business Intelligence, Software System Performance and Reliability, and Manufacturing Process and Optimization.

Polyvyanyy has authored numerous research papers, some of the recent publications include:

  • "Robotic Process Mining: Vision and Challenges" (2020) published in Business & Information Systems Engineering
  • "Stochastic process mining: Earth movers' stochastic conformance" (2021) published in Information Systems
  • "Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems" (2020) published in ACM Transactions on Software Engineering and Methodology
  • "Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs" (2021) published in Minerva Access (University of Melbourne)
  • "Large Process Models: A Vision for Business Process Management in the Age of Generative AI" (2024) published in KI - Künstliche Intelligenz

The scientist frequently collaborates with co-authors including Marcello La Rosa, Anna Kalenkova, Marlon Dumas, Sander J. J. Leemans, and Alistair Moffat, with the number of joint works ranging from 10 to 19 publications per collaborator.

Their research has appeared in various publication venues with a notable number of papers published in arXiv (Cornell University), Information Systems, IEEE Access, KI - Künstliche Intelligenz, and Zenodo (CERN European Organization for Nuclear Research).

In addition to journal articles, Artem Polyvyanyy has contributed to book publications, notably through Springer Science+Business Media with the work titled "Business Process Management Forum" published in 2021.

Best Publications

  • Split miner: automated discovery of accurate and simple business process models from event logs

    Adriano Augusto;Adriano Augusto;Raffaele Conforti;Marlon Dumas;Marcello La Rosa

  • Process compliance analysis based on behavioural profiles

    Matthias Weidlich;Artem Polyvyanyy;Nirmit Desai;Jan Mendling

  • Simplified computation and generalization of the refined process structure tree

    Artem Polyvyanyy;Jussi Vanhatalo;Hagen Völzer

  • Supporting Process Model Validation through Natural Language Generation

    Henrik Leopold;Jan Mendling;Artem Polyvyanyy

  • Semantic Querying of Business Process Models

    A. Awad;A. Polyvyanyy;M. Weske

  • Robotic Process Mining: Vision and Challenges

    Volodymyr Leno;Artem Polyvyanyy;Marlon Dumas;Marcello La Rosa

  • Process querying: Enabling business intelligence through query-based process analytics

    Artem Polyvyanyy;Chun Ouyang;Alistair Barros;Wil M.P. van der Aalst;Wil M.P. van der Aalst

  • Process Model Abstraction: A Slider Approach

    A. Polyvyanyy;S. Smirnov;M. Weske

  • The Triconnected Abstraction of Process Models

    Artem Polyvyanyy;Sergey Smirnov;Mathias Weske

  • Generating natural language texts from business process models

    Henrik Leopold;Jan Mendling;Artem Polyvyanyy

  • Business Process Model Abstraction

    Artem Polyvyanyy;Sergey Smirnov;Mathias Weske

  • Causal Behavioural Profiles - Efficient Computation, Applications, and Evaluation

    Matthias Weidlich;Artem Polyvyanyy;Jan Mendling;Mathias Weske

  • Impact-Driven Process Model Repair

    Artem Polyvyanyy;Wil M. P. Van Der Aalst;Arthur H. M. Ter Hofstede;Moe T. Wynn

  • Aggregate quality of service computation for composite services

    Marlon Dumas;Luciano García-Bañuelos;Artem Polyvyanyy;Yong Yang

  • The 4C spectrum of fundamental behavioral relations for concurrent systems

    Artem Polyvyanyy;Matthias Weidlich;Raffaele Conforti;Marcello La Rosa;Marcello La Rosa

  • Maximal structuring of acyclic process models

    Artem Polyvyanyy;Luciano García-Bañuelos;Dirk Fahland;Mathias Weske

  • Efficient computation of causal behavioural profiles using structural decomposition

    Matthias Weidlich;Artem Polyvyanyy;Jan Mendling;Mathias Weske

  • Stochastic process mining: Earth movers’ stochastic conformance

    Sander J.J. Leemans;Wil M.P. van der Aalst;Tobias Brockhoff;Artem Polyvyanyy

  • Monotone Precision and Recall Measures for Comparing Executions and Specifications of Dynamic Systems

    Artem Polyvyanyy;Andreas Solti;Matthias Weidlich;Claudio Di Ciccio

  • Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs

    A Augusto;R Conforti;M Dumas;M La Rosa

Frequent Co-Authors

Mathias Weske
Mathias Weske Hasso Plattner Institute
Marcello La Rosa
Marcello La Rosa University of Melbourne
Jan Mendling
Jan Mendling Humboldt-Universität zu Berlin
Marlon Dumas
Marlon Dumas University of Tartu
Matthias Weidlich
Matthias Weidlich Humboldt-Universität zu Berlin
Alistair Barros
Alistair Barros Queensland University of Technology
Arthur H. M. ter Hofstede
Arthur H. M. ter Hofstede Queensland University of Technology
Claudio Di Ciccio
Claudio Di Ciccio Utrecht University
Fabrizio Maria Maggi
Fabrizio Maria Maggi Free University of Bozen-Bolzano
Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University

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