Adhib Hussain Syed presented his research at the International Conference on Geospatial Artificial Intelligence, GeoAI 2026, held in Ghent, Belgium, from 3 to 6 June.
His presentation, titled “HESTIA: A TESSERA-Guided Multimodal Fusion Architecture for Urban Thermal Representation Learning,” introduced an advanced artificial intelligence framework for improving the representation and understanding of urban thermal environments. The work explores how multimodal data fusion and geospatial AI can support more accurate analysis of urban heat patterns, contributing to climate-resilient urban planning and sustainable city design.
The conference brought together researchers and practitioners working at the intersection of geospatial science, artificial intelligence, and urban analytics. Syed’s presentation highlighted the growing role of AI-driven methods in addressing pressing challenges related to urban heat and climate adaptation.