Md Zobaer Islam

University of North Carolina at Chapel Hill

Papers

1

Total Citations

6

H-Index

1

About

Md Zobaer Islam is a researcher at the forefront of noncontact health sensing, specializing in wireless light-wave sensing (LWS) and biomedical signal processing. His work addresses a critical need in healthcare: detecting respiratory anomalies without physical contact, using incoherent infrared light. His most-cited paper, "Noncontact Respiratory Anomaly Detection Using Infrared Light-Wave Sensing" (2024), with 6 citations, demonstrates a novel approach to monitoring human respiratory patterns—key indicators of physical and psychological states, including fatal health conditions. This contribution is significant for enabling early diagnosis and treatment through remote, unobtrusive sensing. Islam’s research bridges optics, signal processing, and clinical applications, offering a safer, more comfortable alternative to traditional contact-based methods. His work is particularly impactful for vulnerable populations, such as infants or burn patients, where contact sensors are impractical. By advancing noncontact sensing, Islam is paving the way for smarter, more accessible healthcare monitoring systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Noncontact Respiratory Anomaly Detection Using Infrared Light-Wave Sensing
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of North Carolina at Chapel Hill

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago