Dessislava Petrova‐Antonova

A Well-Being-Centric Walkable Tourism Platform Using AI Agent

We propose a Well-Being-Centric Walkable Tourism Platform Using AI Agent that fuses heterogeneous urban data—an OSM pedestrian graph, a city-scale microclimate field, and a walkability layer for Sofia, Bulgaria—with an AI agent that converts freetext user requests into a constrai...

LLM-AQRA: Leveraging LLMs for Efficient Urban Air Quality Research

Urban air quality research increasingly relies on integrating heterogeneous data from sources such as monitoring stations, satellite imagery, community sensors, built-environment datasets, and meteorological forecasts. However, researchers often face challenges in discovering, un...

Evaluating High-Resolution Geospatial Data for Urban Microclimate Simulations: A Comparative Study Using Official Local and Open Global Datasets in Sofia

Recent advances in digital technologies have enabled the development of urban tools that integrate geospatial data to support the analysis of complex urban systems and climate change. However, the reliability of such tools depends strongly on the availability and integration of h...