Roozbeh Jafari

The University of Texas at Dallas, Texas A&M University

Papers

3

Total Citations

49

H-Index

3

About

Roozbeh Jafari is a pioneering figure in the Internet of Things (IoT) for smart and connected health, with a research portfolio that bridges biomedical engineering, robotics, and sensor systems. His work centers on developing intelligent, wearable technologies and autonomous systems that enhance human health monitoring and infrastructure management. Jafari's most impactful contribution is a novel method for estimating human gait parameters and walking distance using an extended Kalman filter, where he models the human leg as a two-link revolute robot and employs inertial sensors on the thigh and shin. This work, cited 25 times, has laid critical groundwork for rehabilitation and mobility assessment. He also co-edited a highly influential special issue on IoT for smart and connected health (20 citations), shaping discourse on interoperable digital health ecosystems. More recently, Jafari has advanced robotics for civil infrastructure, designing a size-adaptable in-pipe robot for water distribution systems that addresses leak detection and water quality monitoring. His interdisciplinary approach—combining sensor fusion, control theory, and real-world application—has made him a leading voice in creating technologies that seamlessly integrate with human and environmental systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
49
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
An extended Kalman filter to estimate human gait parameters and walking distance
25 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: The University of Texas at Dallas, Texas A&M University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago