Md. Al-Masrur Khan
Papers
2
Total Citations
57
H-Index
2
About
Md. Al-Masrur Khan is a rising researcher at the intersection of robotics, artificial intelligence, and intelligent infrastructure. His work focuses on two transformative areas: advancing reinforcement learning (RL) for robotic control and developing automated systems for civil infrastructure monitoring. In his highly cited 2020 systematic review on RL-based robotics—garnering 46 citations—Khan synthesized a decade of progress, establishing a critical roadmap for how RL enables robots to adapt and operate autonomously in complex, real-world environments. This foundational work has informed subsequent research in autonomous decision-making for robotic systems. More recently, Khan has applied AI and robotics to solve practical engineering challenges, as demonstrated by his 2023 study on an automated pavement-crack-evaluation system (11 citations). By integrating computer vision and robotic platforms, his system replaces inefficient, costly manual inspections with rapid, accurate structural health monitoring. This work exemplifies his commitment to deploying intelligent robotics for societal benefit, particularly in aging infrastructure management. Khan’s research bridges the gap between cutting-edge machine learning and tangible engineering applications, marking him as a promising voice in the next generation of robotics and automation researchers.
Research Focus
Key Achievements
Top Papers
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