Shah Mohammed Takrim

Rajshahi University of Engineering and Technology

Papers

Total Citations

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About

Shah Mohammed Takrim is a researcher whose work sits at the intersection of advanced manufacturing and intelligent automation, with a particular focus on autonomous grinding technologies. His most influential contribution, the 2021 comparative survey "Autonomous grinding algorithms with future prospect towards SMART manufacturing," has garnered 35 citations, establishing a foundational reference for researchers exploring the integration of AI-driven algorithms into precision material removal processes. This work systematically evaluates existing autonomous grinding methods while charting a clear roadmap toward fully SMART (Self-Monitoring, Analysis, and Reporting Technology) manufacturing ecosystems—a critical step for industries seeking to reduce human error and enhance surface quality in aerospace, automotive, and tooling applications. Takrim’s analysis bridges the gap between theoretical algorithm development and practical industrial deployment, highlighting key challenges such as real-time adaptive control and sensor fusion. By synthesizing disparate approaches into a coherent framework, his survey has become a go-to resource for engineers and academics alike. His research not only advances the technical frontier of autonomous machining but also underscores the transformative potential of data-driven decision-making in next-generation factories, positioning him as a thoughtful voice in the evolution of smart manufacturing.