My research focuses on Geospatial Data Science, especially for enhancing AI or foundation models with Geospatial Reasoning to better support geospatial tasks.
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I am a Lecturer / Assistant Professor in Geospatial Data Science at the University of Glasgow. My research has always been exploring innovative applications and development of Geospatial Data Science and Geospatial Artificial Intelligence (GeoAI).
My professional journey before academia includes significant industry experience as a Big Data Scientist, where I developed advanced geospatial routing algorithms, bridging the gap between theoretical research and practical implementation.
This diverse, multidisciplinary academic and professional background has shaped my research, which is primarily focused on harnessing the power of Geospatial Data Science and GeoAI to address critical challenges in human mobility, segregation, urban analytics, and environmental and climate studies. My work is essentially driven by a strong commitment to fostering social-environmental sustainability, equity, and justice through geospatial innovations. I am particularly interested in the rapid advancements in foundation models (e.g., ChatGPT) and how these models can transform geospatial applications.
My long-term research goal is to pioneer the development of GeoAI-empowered Foundation Models (GeoFM), creating a multimodal learning framework enhanced by geospatial intelligence by integrating diverse geospatial data sources, such as text, images, audio, video, and LiDAR. This work has the potential to significantly improve geospatial analysis and decision-making, ultimately contributing to more informed and equitable societal outcomes.