Professional Summary of Professor Artem Polyvyanyy
Professor Artem Polyvyanyy is a distinguished academic at the University of Melbourne, Australia, recognized for his contributions to the field of computer science, with a focus on process mining, business process management, and formal methods. His research and teaching have significantly advanced the understanding and application of process-oriented data science.
Academic Background and Degrees
Professor Polyvyanyy holds advanced degrees in computer science, reflecting his deep expertise in the domain:
- PhD in Computer Science from the University of Potsdam, Germany (2012), where his research focused on process modeling and analysis.
- Master’s degree in Computer Science from the National Technical University of Ukraine, Kyiv Polytechnic Institute.
Research Specializations and Academic Interests
Professor Polyvyanyy’s research interests center on the intersection of data science and business process management. His key areas of specialization include:
- Process mining and process querying.
- Formal methods for business process modeling and analysis.
- Distributed and decentralized systems for process management.
- Automation and optimization of business processes through data-driven approaches.
Career History and Appointments
Professor Polyvyanyy has held several prestigious academic positions across leading institutions:
- Associate Professor, School of Computing and Information Systems, University of Melbourne, Australia (current position).
- Senior Lecturer, University of Melbourne, prior to his promotion to Associate Professor.
- Postdoctoral Research Fellow, Queensland University of Technology, Brisbane, Australia.
- Research Assistant, Hasso Plattner Institute, University of Potsdam, Germany, during his doctoral studies.
Major Awards, Fellowships, and Honors
Professor Polyvyanyy has been recognized for his impactful contributions to computer science and process mining:
- Best Paper Awards at leading conferences in business process management and process mining.
- Recipient of competitive research grants from Australian funding bodies for projects in process mining and automation.
Key Publications
Professor Polyvyanyy has authored numerous influential papers and articles in top-tier journals and conferences. A selection of his notable works includes:
- “Process Querying: Enabling Business Intelligence through Query-Based Process Analytics” – Decision Support Systems (2017).
- “Distributed Process Discovery and Conformance Checking” – International Conference on Business Process Management (2016).
- “Maximizing Synchronization for Aligning Observed and Modeled Behavior” – Business Process Management Journal (2018).
- Editor and contributor to multiple proceedings and special issues on process mining and formal methods.
Influence and Impact on Academic Field
Professor Polyvyanyy is a leading figure in the field of process mining, contributing foundational techniques for querying and analyzing process data. His work has influenced both academic research and industry practices by providing tools and methodologies to improve business process efficiency through data science. He is widely cited in the process mining community and collaborates with international researchers to advance the discipline.
Public Lectures, Committees, and Editorial Contributions
Professor Polyvyanyy actively engages with the academic community through various roles:
- Regular speaker and keynote presenter at international conferences such as the International Conference on Business Process Management (BPM) and the International Conference on Process Mining (ICPM).
- Member of program committees for leading conferences in process mining and business process management.
- Editorial board member and reviewer for prominent journals in computer science and process management.