Stanislav Deviatykh

Papers

1

Total Citations

6

H-Index

1

About

Stanislav Deviatykh is a researcher at the forefront of Robotic Process Automation (RPA) and human-computer interaction, with a focus on automating routine digital workflows. His key research areas include automated script synthesis, user interface (UI) log analysis, and intelligent process discovery. Deviatykh’s major contribution is the development of **Robidium**, a novel tool that automatically synthesizes RPA scripts from UI logs. Unlike traditional record-and-replay methods, Robidium analyzes user interaction logs to discover automatable routines and generate executable scripts, significantly reducing the manual effort required for RPA deployment. This work, published in 2020, has garnered 6 citations and represents a foundational step toward more intelligent, data-driven automation. By bridging the gap between observed user behavior and automated task execution, Deviatykh’s research offers practical solutions for enhancing productivity in enterprise environments. His work is particularly notable for its potential to democratize RPA, enabling non-experts to automate repetitive tasks without deep programming knowledge. For students and researchers, Deviatykh’s contributions highlight the growing intersection of process mining, UI analysis, and automation, paving the way for more adaptive and user-centric RPA systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Robidium: Automated Synthesis of Robotic Process Automation Scripts from UI Logs.
6 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago