Omid Abbasi

Omid Abbasi is a Researcher at the Department of Geoinformatics (Z_GIS) within the Faculty of Digital and Analytical Sciences at the University of Salzburg. His work focuses on integrating natural language processing (NLP) with geospatial data to enhance place-based analysis and recommendation systems. Key areas include semantic similarity measures in GIS, spatiotemporal modeling, and extracting spatial information from textual descriptions.

His research emphasizes bridging textual and geospatial data, particularly in applications like location-based services, urban mobility analysis, and citizen satisfaction evaluation. Recent studies address topics such as LLMs' geographical representation reliability, pandemic impacts on urban environments, and tourist behavior modeling using geotagged photos.

Abbasi has contributed to over 20 peer-reviewed articles since 2015, with notable work on conceptual spaces, spatial interaction models, and agent-based approaches in geo-social networks. He collaborates with the Z_GIS team on projects involving machine learning, human-centric GIS interfaces, and mobility prediction using social media data.