Miftahur Rahman

Cranfield University

Papers

7

Total Citations

105

H-Index

6

About

Miftahur Rahman is a leading researcher in autonomous robotics and intelligent systems for railway infrastructure maintenance, with a particular focus on mobile manipulators, sensor fusion, and 3D reconstruction technologies. His work addresses a critical challenge in the rail industry: reducing human dependency in hazardous, costly, and inefficient maintenance operations by developing sophisticated robotic solutions capable of operating in complex rail environments. Rahman's most impactful contribution is his proposed railway track health assessment framework using 3D reconstruction and robotic vision on mobile manipulators, which has garnered 37 citations since 2023. Complementing this, his development of an autonomous rail-road amphibious robotic system — capable of transitioning between rail and road surfaces — represents a significant engineering breakthrough, accumulating 22 citations. His earlier foundational work on autonomous Railway Inspection and Repair Systems (RIRS), including localisation frameworks and precision investigations, established the theoretical and structural groundwork for these advancements. Collectively accumulating over 100 citations, Rahman's research portfolio spans system design, navigation, sensor fusion, and practical deployment challenges. His comprehensive review on mobile manipulators for smart railway maintenance further demonstrates his role as a thought leader shaping the future of intelligent, AI-driven railway infrastructure management.

Research Focus

Key Achievements

6
H-Index
7
Papers
105
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy
37 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Cranfield University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago