Volodymyr Leno
Papers
10
Total Citations
260
H-Index
7
About
Volodymyr Leno is a researcher specializing in Robotic Process Automation (RPA) and process mining, with a particular focus on bridging these two fields to enable intelligent, data-driven automation of repetitive business tasks. His most influential work, "Robotic Process Mining: Vision and Challenges" (2020), has garnered over 125 citations and established a foundational framework for applying process mining techniques to RPA — a research direction he has since developed into a comprehensive body of work. Leno's contributions span the full automation pipeline: from capturing user interactions through tools like Action Logger, to discovering automatable routines from unsegmented UI logs, to automatically generating executable RPA scripts via systems such as Robidium. His research addresses the critical challenge of identifying and scoping automation candidates within organizations, reducing the manual effort traditionally required in RPA implementation. Work on automated discovery of data transformations further demonstrates his commitment to end-to-end automation intelligence. With a cumulative citation count exceeding 260 across his published works, Leno has established himself as a significant voice in the emerging discipline of robotic process mining, making his research essential reading for practitioners and academics seeking to advance intelligent business process automation.
Research Focus
Key Achievements
Top Papers
- 1Robotic Process Mining: Vision and Challenges125 citations · 2020
- 2
- 3Multi-Perspective process model discovery for robotic process automation29 citations · 2018
- 4Action Logger: Enabling Process Mining for Robotic Process Automation16 citations · 2019
- 5Robotic Process Mining16 citations · 2022
- 6Discovering data transfer routines from user interaction logs15 citations · 2021
- 7Automated Discovery of Data Transformations for Robotic Process Automation13 citations · 2020
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