Adhib Hussain Syed

My research sits at the intersection of geospatial artificial intelligence, urban analytics, and computational social science. I am interested in how data-driven geospatial methods can produce evidence for healthier and more equitable cities, particularly in the context of urban heat risk.

For my PhD, I am developing human-centred multimodal urban representation learning frameworks for heat-risk analysis. My work integrates Earth observation foundation model embeddings with built-form, street-level, thermal, functional, and place-based urban data to better capture the conditions through which heat is experienced in everyday urban life. Rather than treating cities as uniform thermal surfaces, my research focuses on fine-scale urban heterogeneity, lived exposure, and the social and spatial conditions that shape vulnerability. Through this work, I aim to advance GeoAI methods that produce interpretable and uncertainty-aware geospatial evidence for healthier, fairer, and more climate-resilient cities.