Ashikur Rahman

University of Hawaiʻi at Mānoa

Papers

1

Total Citations

3

H-Index

1

About

Ashikur Rahman is a researcher whose work centers on the intersection of radio frequency (RF) engineering and biomedical sensing, with a particular focus on non-contact vital sign detection. His key research areas include Doppler radar systems, motion artifact compensation, and low-IF tag-assisted life sign monitoring. Rahman’s most notable contribution is his investigation into AC/DC coupling effects in low-IF tag-assisted mobile Doppler radar for life sign detection, a study that addresses the critical challenge of motion artifacts in continuous wave radar systems. By thoroughly analyzing how coupling configurations impact signal integrity, his work provides a foundational framework for improving the accuracy and reliability of mobile radar-based health monitoring. While his highly cited paper has garnered 3 citations, its technical depth and practical implications for wearable and remote sensing technologies underscore its value to the biomedical radar community. Rahman’s research is particularly relevant for advancing non-invasive patient monitoring, offering insights that could enhance the robustness of vital sign measurements in dynamic, real-world environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
AC/DC coupling effects on low-IF tag-assisted mobile Doppler radar life sign detection
3 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Hawaiʻi at Mānoa

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago