Roza Ranjbar
Papers
2
Total Citations
14
H-Index
2
About
Roza Ranjbar is a rising researcher at the intersection of autonomous systems, control theory, and precision agriculture. Her work focuses on developing advanced stochastic model predictive control (SMPC) strategies for cyber-physical systems, with a particular emphasis on the innovative use of mobile measurement robots in complex environments like irrigation canals. Her major contribution lies in integrating performance-driven path planning for mobile robots directly into the control loop, allowing the robot to autonomously navigate and measure water levels while optimizing for velocity, energy consumption, and sampling distances under system uncertainties. Her most-cited paper (2025, 8 citations) introduces a novel SMPC framework that tightens constraints over the prediction horizon to ensure robust performance. A foundational 2023 study (6 citations) established the core approach of combining SMPC with mobile robotics for canal control. While early in her career, Ranjbar’s work is already recognized for its practical relevance to water management and agricultural automation, offering a scalable, data-driven solution for monitoring and controlling large-scale irrigation networks. Her research represents a promising step toward fully autonomous, resilient infrastructure management.
Research Focus
Key Achievements
Top Papers
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