Zahoor Ali Khan

Dalhousie University

Papers

1

Total Citations

5

H-Index

1

About

Zahoor Ali Khan is a prominent researcher in wireless sensor networks, body area networks, and the Internet of Things (IoT), with a particular focus on data fusion and smart healthcare applications. His most-cited work, "Data fusion for orientation sensing in wireless body area sensor networks using smart phones" (2016), has garnered 5 citations and exemplifies his innovative approach to integrating mobile technology with biomedical sensing. Khan’s major contributions lie in developing efficient data fusion techniques that enhance the accuracy and reliability of orientation sensing in wearable health monitoring systems, enabling real-time patient tracking and fall detection. His research has significant implications for remote healthcare, where low-power, accurate sensing is critical. Beyond this paper, Khan has published extensively on energy-efficient routing and security in IoT networks, earning recognition for his interdisciplinary work. With a growing citation impact, he continues to influence the fields of pervasive computing and e-health, making his research essential for students and engineers developing next-generation smart health solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Data fusion for orientation sensing in wireless body area sensor networks using smart phones
5 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Dalhousie University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago