Artem Polyvyanyy is a Professor and Deputy Head of School (Academic Quality) at the University of Melbourne, leading the Process Science and Technology research group with a 14-year track record in computing, distributed systems, process mining and AI. He combines rigorous academic leadership—evidenced by roles in the IEEE Task Force on Process Mining—with hands-on research that bridges algorithms and real-world process analytics. His career spans research fellowships and tenure-track positions in Australia and a PhD from the University of Potsdam, reflecting deep roots in both European and Australasian research communities. Artem’s work often focuses on making process mining methods practical and auditable for operational systems, and he maintains a public profile (polyvyanyy.com) that consolidates his research outputs and tools.
14 years of coding experience
7 years of employment as a software developer
Graduate Certificate in Academic Practice Education, Graduate Certificate in Academic Practice Education at QUT (Queensland University of Technology)
Master of Science (M.Sc.) IT-Software Engineering, Master of Science (M.Sc.) IT-Software Engineering at Hasso Plattner Institute
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at National University of Kyiv-Mohyla Academy
Doctor of Philosophy (Ph.D.) Practical Computer Science, Doctor of Philosophy (Ph.D.) Practical Computer Science at University of Potsdam
Process Query Language (PQL) is a special-purpose programming language for managing process models based on information about process instances that these models describe. PQL is based upon temporal logic and adopts the concrete syntax of SQL.
Contributions:59 commits, 54 pushes, 2 branches in 4 years 7 months
Contributions:29 commits, 23 pushes in 3 years 2 months
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Artem Polyvyanyy - Professor at University of Melbourne