Usman Nazir
Postdoctoral Data Scientist in Climate and Health Analytics
Dr. Usman Nazir is a Postdoctoral Data Scientist in Climate and Health Analytics at NDORMS, University of Oxford. Prior to this, he served as an Assistant Professor and Group Head at the Center for AI Research (CAIR), Beaconhouse National University, where he led research at the intersection of artificial intelligence, remote sensing, and environmental sustainability.
He has held previous research roles at the University of Oxford, the University of Leeds, and LUMS, contributing to high-impact projects on air pollution mapping, health surveillance, and poverty analysis. His work has been published in leading venues such as The Lancet Planetary Health, and he is a recipient of the Facebook CV4GC Award and the Commonwealth Split-Site PhD Scholarship. He was also nominated for the Times Higher Education (THE) Asia Award for Outstanding Contribution to Environmental Leadership, recognizing his contributions to climate resilience, urban risk assessment, and data-driven sustainability initiatives.
At NDORMS, Dr. Nazir is contributing to projects at the intersection of climate and health informatics, leveraging foundation models and Earth observation data to address pressing global challenges.
Recent publications
Detecting brick kiln infrastructure at scale: graph, foundation, and remote sensing models for satellite imagery data
Conference paper
Nazir U. et al, (2026)
Mending of Spatio-Temporal Dependencies in Block Adjacency Matrix
Chapter
Ahmad O. et al, (2026), 346 - 360
Data-Driven Approach to Assess and Identify Gaps in Healthcare Set up in South Asia
Conference paper
Fatima T. et al, (2026), Communications in Computer and Information Science, 2297 CCIS, 199 - 217
Deep Learning-Based Task Offloading for Efficient and Reliable Computation in High-Mobility Vehicular Networks
Conference paper
Ali M. et al, (2025), 21st International Wireless Communications and Mobile Computing Conference Iwcmc 2025, 1168 - 1173
Predicting malaria outbreaks using earth observation measurements and spatiotemporal deep learning modelling: a South Asian case study from 2000 to 2017
Journal article
Khalid S., (2024), The Lancet Planetary Health