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BNU AQI Dashboard
Test Space:
Average PM2.5
0 µg/m³
Minimum PM2.5
0 µg/m³
Maximum PM2.5
0 µg/m³
Peak Hours (PM2.5)
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About Sensors & Data Collection
Our advanced air quality sensors continuously monitor various pollutants in real-time. These sensors are strategically placed in different test spaces, including areas with plants and without, to gather comprehensive data on environmental factors affecting air quality. The data collected helps us analyze trends, identify peak pollution hours, and understand the impact of various interventions, such as the presence of indoor plants. This continuous monitoring is crucial for maintaining a healthy and safe environment for everyone at BNU.
Health Impacts of PM2.5
*Data represents approximate percentages of global deaths attributable to PM2.5 exposure for various diseases.
Understanding PM2.5
PM2.5 particles, with a diameter of 2.5 micrometers or less, are approximately 30 times smaller than a human hair, making them a significant yet often unseen threat to air quality.
Best Indoor Plants for Air Quality Improvement
Aloe Vera
Aloe barbadensis miller
Bamboo Palm
Chamaedorea seifrizii
Snake Plant
Sansevieria trifasciata
Lady Palm
Rhapis excelsa
Program Leads
Dr. Moeed Yousuf
Dr. Moeed Yusuf, a prominent scholar in Political Science and International Relations, has taught at leading institutions including Boston University, LUMS. Served as Pakistan’s youngest National Security Adviser and held senior roles at Harvard’s Kennedy School and the U.S. Institute of Peace. Author of Brokered Bargaining (Stanford, 2018), currently a Senior Fellow at Harvard’s Belfer Center and policy advisor for the Indoor AQI Program.
Dr. Usman Nazir
Dr. Usman Nazir is Research Scientist and Group Head at Beaconhouse National University’s Center for AI Research. With expertise in satellite imagery and remote sensing, he contributed at LUMS, Oxford & Leeds on poverty mapping, environmental health, and vehicle emissions. He published, earning Facebook CV4GC and Commonwealth Split-Site PhD Scholarship.
Hafiz Muhammad Abubakar
Associate Researcher and Lead Data Analyst with expertise in statistical modeling, geospatial analysis, and remote sensing. Published at NeurIPS, AAAI, ICONIP, and IGARSS on topics including air pollution mapping, flood impact, and waste classification. Work focuses on delivering actionable insights that bridge data science with real-world environmental and policy applications.