Papers

1

Total Citations

41

H-Index

1

About

Muhamad Faisal is a leading researcher in the development of Internet of Things (IoT) solutions tailored for challenging, resource-constrained environments. His primary research areas include low-power wide-area network (LPWAN) technologies, particularly LoRa, and their application in rural connectivity and environmental monitoring. Faisal’s most notable contribution is his pioneering work on the "Design and Implementation of LoRa Based IoT Scheme for Indonesian Rural Area" (2021), a highly cited paper with 41 citations that addresses the critical need for affordable, long-range, and low-power digital infrastructure in remote regions. This study demonstrates a practical, scalable framework for real-time data collection and monitoring, bridging the digital divide in areas with limited internet access. By integrating electronics, computer science, and robotics, Faisal’s work provides a blueprint for deploying IoT systems that are both cost-effective and resilient. His research has significant implications for agriculture, disaster management, and public services in developing nations, establishing him as a key innovator in context-aware IoT design. Faisal’s achievements highlight the transformative potential of technology when engineered for real-world, underserved communities.

Research Focus

Key Achievements

1
H-Index
1
Papers
41
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Design and Implementation of LoRa Based IoT Scheme for Indonesian Rural Area
41 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: National Taiwan University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago