Papers
3
Total Citations
23
H-Index
2
About
Nayem Hossain is a forward-thinking researcher at the intersection of advanced manufacturing, materials science, and robotics. His work primarily focuses on developing high-performance polymer nanocomposites and enhancing the operational stability of robotic systems. Hossain’s most impactful contribution is his pioneering study on graphene-reinforced 3D-printed polymer nanocomposites (2023, 16 citations), which demonstrates how additive manufacturing can unlock new applications in robotics and diverse industries by improving material properties. He has also made significant strides in tribology, investigating self-lubricant coatings to reduce friction and wear in mild steel, and employing machine learning for advanced data analysis (2021, 6 citations). Most recently, his comprehensive review on advancing stability in robot manipulators (2025) synthesizes critical parameters for robustness and control, offering a vital resource for industrial automation. With a growing citation footprint and a clear trajectory toward integrating smart materials with robotic systems, Hossain is establishing himself as a key voice in the next generation of manufacturing and automation research.
Research Focus
Key Achievements
Top Papers
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