Md. Riaz Pervez
Papers
2
Total Citations
37
H-Index
2
About
Md. Riaz Pervez is a researcher focused on advancing industrial automation and intelligent manufacturing systems. His primary research areas include autonomous grinding algorithms, real-time robotic control, and the integration of smart manufacturing technologies. Pervez’s most notable contribution is his comprehensive comparative survey on autonomous grinding algorithms, which explores future prospects for SMART manufacturing—a work that has garnered 35 citations and serves as a key reference for researchers in precision machining and automation. He also made significant strides in industrial robotics through his study on real-time position control of a 6-DOF Mitsubishi robot over an Ethernet-based communication framework, addressing critical challenges in trajectory tracking accuracy and stiffness for material handling applications. This work, though less cited, demonstrates his hands-on approach to solving practical control problems in industrial settings. Pervez’s research bridges the gap between theoretical algorithm development and real-world manufacturing needs, positioning him as a contributor to the evolving landscape of intelligent, data-driven production systems. His efforts underscore a commitment to enhancing efficiency and precision in automated environments.
Research Focus
Key Achievements
Top Papers
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