Masoumeh Rahimi
Papers
5
Total Citations
69
H-Index
5
About
Masoumeh Rahimi is a leading researcher in autonomous railway maintenance systems, focusing on the integration of robotics, sensor fusion, and AI to transform traditional, labor-intensive track upkeep. Her major contributions center on developing intelligent, amphibious robotic platforms capable of both rail and road travel, enabling continuous inspection and repair without costly track possession. Her 2022 review on localisation and navigation technologies (25 citations) established a foundational framework for the field, while her 2023 paper on an autonomous amphibious system (22 citations) demonstrated a practical, sensor-fusion-driven solution for real-world deployment. Rahimi’s work directly addresses the critical challenge of improving railway safety and reliability by reducing human involvement and operational costs. Her research on precision and accuracy, alongside analyses of infrastructure-specific challenges, has set new benchmarks for robotic performance in harsh railway environments. By pioneering the use of mobile manipulators and advanced localisation, Rahimi is driving a paradigm shift toward smarter, more resilient railway maintenance, making her work essential reading for engineers and researchers advancing automation in transportation infrastructure.
Research Focus
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