Md. Adnan Ahmed

Rajshahi University of Engineering and Technology

Papers

Total Citations

H-Index

About

Md. Adnan Ahmed is a researcher whose work lies at the intersection of advanced manufacturing and intelligent automation. His primary research focus is on autonomous grinding algorithms and their integration into the evolving landscape of SMART manufacturing. His most-cited paper, "Autonomous grinding algorithms with future prospect towards SMART manufacturing: A comparative survey" (2021), has garnered 35 citations, establishing him as a voice in this niche yet critical area of production technology. In this work, he systematically compares various algorithmic approaches for autonomous grinding, identifying key performance metrics and charting a roadmap for future developments in self-optimizing machining processes. This contribution is particularly significant as it bridges the gap between traditional material removal techniques and the data-driven, adaptive systems required for Industry 4.0. By highlighting the potential for real-time process control and quality assurance, Ahmed’s research offers practical insights for engineers and researchers aiming to enhance precision and efficiency in manufacturing. His work serves as a foundational reference for those exploring the synergy between robotics, sensor integration, and cognitive manufacturing.