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Independent coverage, university features and primary research updates. Summaries link to the original source.
- University news
The surfaces that will rewrite wireless reality
Queen Mary University of London
A feature on the 2026 UK roadmap for wireless and microwave metasurfaces, including Prof. Abbasi's contribution on reconfigurable intelligent surfaces for radio coverage and healthcare sensing.
Read original source - University news
Touch-free health monitoring could breathe new life into health diagnostics
University of Glasgow
Glasgow researchers reported an RF-and-AI system that screened five pulmonary diseases without physical contact. The university reports 98% classification accuracy in its expanded clinical dataset and identifies Prof. Abbasi as the research lead.
Read original source - Profile
From Queen Mary PhD to Outstanding Research Supervisor finalist
Queen Mary University of London
An interview covering Prof. Abbasi's career path, inclusive approach to doctoral supervision, research leadership and work connecting academic research with government policy.
Read original source - External coverage
Qammer H. Abbasi receives the Salman Al Farsi Award for Innovation
CHEDDAR Hub
The Scottish Muslim Awards recognised Prof. Abbasi’s research leadership and sustained contribution to science and society with its 2025 innovation award.
Read original source - Research update
RFALL detects fall direction and approximate location using passive RFID tags
IEEE Sensors Journal
Muhammad Zakir Khan and collaborators, including Prof. Abbasi, developed a contactless RFID tag-array system for classifying falls from multiple directions while estimating the affected monitoring zone.
Featuring Muhammad Zakir Khan and Qammer H. Abbasi
Read original source - Research update
RFiDAR combines RFID and radar for contactless activity recognition
IEEE Internet of Things Magazine
A second Zakir Khan-led collaboration fuses RFID and radar measurements to improve indoor human-activity recognition while avoiding cameras and body-worn devices.
Featuring Muhammad Zakir Khan and Qammer H. Abbasi
Read original source - External coverage
Transparent RFID tag wall featured for privacy-preserving home monitoring
RFID Tag World
Industry coverage explains the Glasgow team's tag-free wall concept: passive UHF tags and machine learning infer presence and activity from interrupted radio signals instead of requiring a wearable or camera.
Featuring Muhammad Zakir Khan and Qammer H. Abbasi
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