Research

As a information geographer, my work centers on exploring the frontier of geospatial artificial intelligence (GeoAI) to monitor and percept human-environment interactions across local and global scales. I integrate multimodal remote sensing (e.g., hyperspectral, multispectral, and VHR imagery), volunteered geographic information (e.g., OpenStreetMap, street view imagery), with advanced GeoAI models, to facilitate a holistic understanding of the geospatial and social processes that shape urban development and environmental change. By bridging the gap between geography and spatial computing, my research aims to build scalable, reliable solutions that enhance 1) urban climate resilience, 2) rapid disaster response, and 3) the responsible usage of GeoAI.

Special Issues and Workshops

• Urban AI for a Sustainable Built Environment, special issue in Environment and Planning B: Urban Analytics and City Science. DDL: 1 December, 2024. Submission link
• Advances in AI-Driven Geospatial Analysis and Data Generation, special issue in ISPRS International Journal of Geo-Information. DDL: 31 August 2024. Submission link
• Geosearch 2024 , workshop orgnaized in the 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2024). DDL: 31 August 2024. Submission link

Invited Talks

• Deep Learning from Volunteered Geographical Information and Heterogeneous Geospatial Data, Department of Geography and Resource Managemen, the Chinese University of Hong Kong (CUHK), September, 2023.
• A Conceptual Model for Converting OpenStreetMap Contribution to Geospatial Machine Learning Training Data, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS), May, 2022
• Deep learning from Volunteered Geographical Information: a case study of humanitarian mapping with OpenStreetMap, the Urban Analytics Lab seminar series, National University of Singapore (NUS), April 2022.
• Deep learning from Volunteered Geographical Information: a case study of humanitarian mapping with OpenStreetMap, the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University (LIESMARS), April 2022.
• Deep learning from Volunteered Geographical Information: a case study of humanitarian mapping with OpenStreetMap, College of Surverying and Geo-infromatics, Tongji University, November 2021.

Awards

• ISPRS Best Poster Award in the XXIV ISPRS Congress in Nice (2022)
• ACM SIGSPATIAL GISCup runner-up Award (2023)
• The Kurt-Hiehle-Foundation Scholarship (2022), Heidelberg University
• The STIBET/DAAD scholarship (2016), University of Stuttgart

Project

• Principle Investigator, HDF4Water: Hierarchical Data Format for Water-related Big Geodata, funded by the NFDI4Earth consortium, from July, 2022 to Dec, 2022.
• Co- Principle Investigator, Coding4Geo: An open-access and interactive coding platform to facilitate E-Teaching in Geospatial Data Analysis, funded by the NFDI4Earth consortium, from Oct, 2022 to Feb, 2023.
• Principle Staff Researcher, GeoAI4Water - Methods for Prediction and Mapping of Water-Related Infrastructure from Heterogeneous Geodata Sources, funded by Anonymous Industrial Partner, from July 2019 to June 2022.
• Staff Researcher, DeepVGI – Deep Learning with Volunteered Geographic Information, funded by Klaus Tschira Stiftung.

Internaltional Conference

• Workshop Chair, GeoSearch 2023: the 2nd ACM SIGSPATIAL International Workshop On Searching and Mining Large Collections of Geospatial Data, ACM SIGSPATIAL 2023 in Hamburg, Germany
• Academic Committee, OSMScience 2023, State of the Map EU 2023
• Workshop Chair, GeoHB 2023: Geo-Spatial Computing for Understanding Human Behaviours, ISPRS Geospatial Week 2023 in Cairo, Agypt
• PC member, The 1st International Workshop on Geographic Information Extraction from Texts (GeoExT), ECIR 2023 in Dublin, April 2, 2023
• Academic Committee, Academic Track, State of the Map 2022
• PC member, The 3rd Data-driven Humanitarian Mapping workshop, ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2022
• PC member, The 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI), ACM SIGSPATIAL Conference in Seattle 2022

Scientific Reviewing

• ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier
• Annals of the American Association of Geographers, Taylor & Francis
• International Journal of Geographical Information Science, Taylor & Francis
• Remote Sensing of Environment, Elsevier
• Transactions in GIS, John Wiley & Sons, Inc
• The Professional Geographer, Taylor & Francis
• IEEE Transaction on Geoscience and Remote Sensing (TGRS), IEEE
• IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), IEEE
• IEEE Geoscience and Remote Sensing Letters, IEEE
• International Journal of Applied Earth Observation and Geoinformation, Elsevier
• International Journal of Digital Earth, Taylor & Francis
• ISPRS International Journal of Geo-Information, MDPI
• Remote Sensing, MDPI
• Arabian Journal of Geosciences, Springer
• Information Processing and Management, Elsevier

Memberships

• IEEE Geoscience and Remote Sensing Society (GRSS) Member
• ACM SIGSPATIAL Member
• American Association of Geographers (AAG) Member
• Intenational Society of Digital Earth (ISDE)