Rizal Mohd Nor
Papers
1
Total Citations
1
H-Index
1
About
Rizal Mohd Nor is an emerging researcher at the intersection of the Internet of Things (IoT), computer vision, and educational technology. His most cited work, "Smart Attendance in Classroom (CObot): IoT and Facial Recognition for Educational and Entrepreneurial Impact" (2024), tackles a persistent problem in academic settings: the vulnerability of traditional attendance systems to manipulation. By integrating IoT hardware with facial recognition, Nor proposes a solution that eliminates proxy attendance—a common loophole in manual and QR-code-based methods. Although his citation count is currently modest, the practical, entrepreneurial angle of his research signals strong potential for real-world adoption in smart classrooms. Nor’s work contributes to the growing field of automated identity verification, with implications for both educational efficiency and security. As a researcher focused on bridging IoT innovation with tangible educational challenges, he represents a new wave of technologists aiming to streamline administrative tasks through intelligent automation.
Research Focus
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Top Papers
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