Dr Artem Polyvyanyy

  • Room: Level: 10 Room: 04
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Computation Theory
  • Computation Theory
  • Distributed Computing (Distributed Systems)
  • Distributed Computing (Petri Nets)
  • Information Systems (Business Intelligence)
  • Information Systems (Business Process Management)
  • Information Systems (Decision Support Systems)
  • Information Systems (Process Mining)
  • Software Engineering (Process Querying)

Personal webpage

http://polyvyanyy.com

Biography

Dr. Artem Polyvyanyy is a senior lecturer at the School of Computing and Information Systems, Melbourne School of Engineering, at the University of Melbourne, Melbourne, Australia. He has a strong background in Computer Science, Software Engineering, and Business Process Management from the National University of Kyiv-Mohyla Academy, Kyiv, Ukraine, and the Hasso Plattner Institute, Potsdam, Germany. In March 2012, he received a Ph.D. degree (Dr. rer. nat.) in the scientific discipline of Practical Computer Science from the University of Potsdam, Germany. Artem's industry experience includes internships at Wincor-Nixdorf GmbH in Hamburg, Germany, and SAP Labs in Palo Alto, CA, USA. His research and teaching interests include Distributed and Parallel Systems, Automata Theory, Formal Methods, Information Systems, Software Engineering, and Workflow Management. More recently, he has conducted research on the fundamentals of process analysis, the foundations of behavior abstraction in concurrent systems, and querying of process model repositories.

Recent publications

  1. Polyvyanyy, A.; Solti, A.; Weidlich, M.; Di Ciccio, C.; Mendling, J. Behavioural Quotients for Precision and Recall in Process Mining. . 2018.
  2. De Alwis, AAC.; Barros, A.; Fidge, C.; Polyvyanyy, A. Discovering microservices in enterprise systems using a business object containment heuristic. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SpringerLink. 2018, Vol. 11230 LNCS, pp. 60-79. DOI: 10.1007/978-3-030-02671-4_4
  3. De Alwis, AAC.; Barros, A.; Polyvyanyy, A.; Fidge, C. Function-splitting heuristics for discovery of microservices in enterprise systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature Switzerland. 2018, Vol. 11236 LNCS, pp. 37-53. DOI: 10.1007/978-3-030-03596-9_3
  4. Polyvyanyy, A.; Sürmeli, J.; Weidlich, M. Interleaving isotactics – An equivalence notion on behaviour abstractions. Theoretical Computer Science. Elsevier. 2018, Vol. 737, pp. 1-18. DOI: 10.1016/j.tcs.2018.01.005
  5. Poll, R.; Polyvyanyy, A.; Rosemann, M.; Röglinger, M.; Rupprecht, L. Process forecasting: Towards proactive business process management. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Nature Switzerland. 2018, Vol. 11080 LNCS, pp. 496-512. DOI: 10.1007/978-3-319-98648-7_29
  6. Augusto, A.; Conforti, R.; Dumas, M.; La Rosa, M.; Polyvyanyy, A. Split miner: automated discovery of accurate and simple business process models from event logs. Knowledge and Information Systems. Springer Verlag. 2018, pp. 1-34. DOI: 10.1007/s10115-018-1214-x
  7. . Collaborative business process modeling in multi-surface environments. . 2017, pp. 259-286. DOI: 10.1007/978-3-319-45853-3_12
  8. Polyvyanyy, A.; Van Der Aalst, WMP.; Ter Hofstede, AHM.; Wynn, MT. Impact-Driven Process Model Repair. ACM Transactions on Software Engineering and Methodology. ASSOC COMPUTING MACHINERY. 2017, Vol. 25, Issue 4. DOI: 10.1145/2980764
  9. Polyvyanyy, A.; Ouyang, C.; Barros, A.; Van Der Aalst, WMP. Process querying: Enabling business intelligence through query-based process analytics. Decision Support Systems. ELSEVIER SCIENCE BV. 2017, Vol. 100, pp. 41-56. DOI: 10.1016/j.dss.2017.04.011
  10. Polyvyanyy, A.; Armas-cervantes, A.; Dumas, M.; Garcia-banuelos, L. On the expressive power of behavioral profiles. Formal Aspects of Computing. SPRINGER. 2016, Vol. 28, Issue 4, pp. 597-613. DOI: 10.1007/s00165-016-0372-4
  11. Armas-cervantes, A.; Dumas, M.; Polyvyanyy, A. On the suitability of generalized behavioral profiles for process model comparison. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science. 2016, Vol. 9421, pp. 13-28. DOI: 10.1007/978-3-319-33612-1_2
  12. Leopold, H.; Mendling, J.; Polyvyanyy, A. Supporting process model validation through natural language generation. Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI). Gesellschaft fur Informatik (GI). 2016, Vol. P252, pp. 71-72.
  13. . Business process model abstraction. . 2015, pp. 147-165. DOI: 10.1007/978-3-642-45100-3_7
  14. La Rosa, M. Process querying in apromore. CEUR Workshop Proceedings. CEUR Workshop Proceedings. 2015, Vol. 1418, pp. 105-109.
  15. Polyvyanyy, A.; La Rosa, M.; Ouyang, C.; Ter Hofstede, AHM. Untanglings: a novel approach to analyzing concurrent systems. Formal Aspects of Computing. SPRINGER. 2015, Vol. 27, Issue 5-6, pp. 753-788. DOI: 10.1007/s00165-014-0329-4
  16. Polyvyanyy, A.; La Rosa, M.; Ter Hofstede, AHM. Indexing and Efficient Instance-Based Retrieval of Process Models Using Untanglings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). SPRINGER INT PUBLISHING AG. 2014, Vol. 8484, pp. 439-456. DOI: 10.1007/978-3-319-07881-6_30
  17. Polyvyanyy, A.; Garcia-banuelos, L.; Fahland, D.; Weske, M. Maximal Structuring of Acyclic Process Models. The Computer Journal. OXFORD UNIV PRESS. 2014, Vol. 57, Issue 1, pp. 12-35. DOI: 10.1093/comjnl/bxs126
  18. Leopold, H.; Mendling, J.; Polyvyanyy, A. Supporting Process Model Validation through Natural Language Generation. IEEE Transactions on Software Engineering. IEEE COMPUTER SOC. 2014, Vol. 40, Issue 8, pp. 818-840. DOI: 10.1109/TSE.2014.2327044
  19. Polyvyanyy, A.; Weidlich, M.; Conforti, R.; La Rosa, M.; Ter Hofstede, AHM. The 4C spectrum of fundamental behavioral relations for concurrent systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer International Publishing. 2014, Vol. 8489 LNCS, pp. 210-232. DOI: 10.1007/978-3-319-07734-5_12
  20. Ter Hofstede, AHM.; Ouyang, C.; La Rosa, M.; Song, L.; Wang, J.; Polyvyanyy, A. APQL: A Process-Model Query Language. Lecture Notes in Business Information Processing. SPRINGER-VERLAG BERLIN. 2013, Vol. 159, pp. 23-38.

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile