Raissa Uskenbayeva
Papers
3
Total Citations
58
H-Index
3
About
Raissa Uskenbayeva is a leading researcher in business process automation, intelligent systems, and multi-agent technologies, with a focus on applying these innovations to public administration and environmental challenges. Her most cited work, “Applying of RPA in Administrative Processes of Public Administration” (2019, 42 citations), introduces a methodology for robotic process automation (RPA) in government settings, detailing stages for implementation and highlighting efficiency gains. This contribution has been pivotal in modernizing administrative workflows, reducing manual effort, and improving service delivery. Uskenbayeva also advanced mobile business process design in her 2015 paper (10 citations), proposing principles for autonomous, dynamic processes on robot system platforms—a forward-looking framework that bridges mobile robotics and enterprise operations. Additionally, her multi-agent system for anti-locust territory protection (2015, 6 citations) addresses a critical agricultural issue in Kazakhstan, where locust invasions cost millions annually. By integrating agent-based coordination and real-time monitoring, her work offers a scalable, cost-effective solution to protect crops and reduce government expenditure. Uskenbayeva’s research stands out for its practical impact, combining theoretical rigor with real-world applications in public sector automation, robotics, and environmental protection.
Research Focus
Key Achievements
Top Papers
- 1Applying of RPA in Administrative Processes of Public Administration42 citations · 2019
- 2
- 3Multi-Agent Based Anti-Locust Territory Protection System6 citations · 2015