Muhammad Azfar Yaqub
Papers
1
Total Citations
12
H-Index
1
About
Muhammad Azfar Yaqub is a leading researcher at the intersection of the Internet of Things (IoT), artificial intelligence, and industrial safety. His work focuses on developing trustworthy, intelligent monitoring architectures that leverage social IoT principles for early event detection in hazardous environments. His most cited paper, "Trustworthy intelligent industrial monitoring architecture for early event detection by exploiting social IoT" (2020, 12 citations), addresses critical industrial catastrophes—such as conflagrations, toxic gas leaks, and chemical spills—that threaten both human lives and infrastructure. By integrating social IoT with AI-driven analytics, Yaqub’s architecture enables proactive surveillance and real-time alerts, significantly reducing response times to dangerous situations. His contributions are pivotal in advancing smart industrial safety systems, combining reliability with scalability. Beyond this flagship work, Yaqub continues to explore how connected devices can autonomously collaborate to prevent disasters, earning recognition for bridging theoretical IoT frameworks with practical, life-saving applications. His research is essential reading for engineers and scientists developing next-generation industrial monitoring solutions.
Research Focus
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Top Papers
- 1