Papers

1

Total Citations

11

H-Index

1

About

Muhammad Akram Bhayo’s research centers on environmental sensing, predictive monitoring, and the practical application of measurement technologies to improve daily life and industrial efficiency. His most-cited work, “Distant temperature and humidity monitoring: prediction and measurement” (2021, 11 citations), addresses the critical role of accurate environmental data in activities ranging from personal comfort to industrial processes such as ventilation rate calculation and energy prediction. By developing methods for remote, real-time monitoring and forecasting of temperature and humidity, Bhayo contributes to smarter, more responsive systems that enhance both safety and resource management. His research bridges the gap between sensor technology and actionable insights, offering solutions that are directly applicable to building automation, agriculture, and climate control. With a focus on practical, data-driven approaches, Bhayo’s work demonstrates how precise environmental measurement can lead to more efficient energy use and improved decision-making. His contributions are particularly valuable for researchers and engineers seeking to integrate low-cost, reliable monitoring into scalable systems, making him a notable voice in the field of applied sensing and predictive analytics.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Distant temperature and humidity monitoring: prediction and measurement
11 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Quaid-e-Awam University of Engineering, Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago