Natalia Kurileva
Papers
1
Total Citations
14
H-Index
1
About
Natalia Kurileva is a leading researcher in the mathematical modeling and optimization of unmanned aerial vehicle (UAV) systems, with a focus on aviation and transport logistics. Her most-cited work, "Mathematical Modeling, Analysis and Evaluation of the Complexity of Flight Paths of Groups of Unmanned Aerial Vehicles in Aviation and Transport Systems" (2021, 14 citations), addresses the growing demand for efficient, autonomous drone operations in commercial and industrial applications. Kurileva’s key contributions lie in developing rigorous mathematical frameworks to analyze and reduce the complexity of multi-UAV flight paths, enabling safer and more scalable deployment in areas such as agriculture, delivery, and warehouse automation. Her research tackles critical challenges in swarm coordination and path planning, directly supporting the integration of drones into broader transport systems. By quantifying path complexity, she provides actionable insights for optimizing fleet efficiency and minimizing collision risks. Kurileva’s work is particularly notable for bridging theoretical modeling with practical, real-world applications, making her a pivotal figure in advancing UAV technology for logistics and beyond.
Research Focus
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Top Papers
- 1