Shaik Mohammad Rafi
Papers
1
Total Citations
14
H-Index
1
About
Shaik Mohammad Rafi is a researcher at the forefront of integrating the Internet of Things (IoT) with industrial automation and intelligent image processing. His work focuses on developing cost-effective, real-time systems that address critical challenges in manufacturing and environmental monitoring. Rafi’s most cited paper, “A Framework of Internet of Things (IOT) for the Manufacturing and Image Classification System” (2022, 14 citations), introduces a novel framework that leverages IoT to reduce excess power consumption in industrial processes while simultaneously enabling real-time image classification for detecting water pollution. This dual-purpose approach is particularly significant as it offers a scalable alternative to expensive robotic technologies in manufacturing, making advanced automation more accessible. By bridging the gap between sensor-driven data and actionable analytics, Rafi’s contributions help industries optimize efficiency and sustainability. His work underscores a practical vision for smart systems that are both intelligent and economical, positioning him as a promising voice in applied IoT research with a clear focus on real-world impact.
Research Focus
Key Achievements
Top Papers
- 1