Prototype Digital Twin application framework. Showcasing both heat and air frequency and intensity overlaid with three-dimensional buildings and locations of sport facilities. See the application here: https://ryn-trnr.github.io/RUDY-cesium-app/
Gao, J., Ma, X., Sun, Q. C., Cai, W., Wang, X., Wang, Y., Tan, Z., Li, D., Fan, Y., Zhang, L., Xu, Y., Liu, X., & Ma, Y. (2026). Fine-Scale and Population-Weighted PM2.5 Modeling in Melbourne: Towards Detailed Urban Exposure Mapping. ISPRS International Journal of Geo-Information, 15(3), 134. https://doi.org/10.3390/ijgi15030134
Lama, P & Sun, Q.C. (2026). Assessing Urban Flood Resilience: A Comprehensive Framework with Evidence from Melbourne. Urban Informatics (accepted, awaiting publication)
Turner, R., Sun, Q.C., & Duckham, M. (2026) Comparing Weighting Techniques for a Composite Spatial Indicator of Urban Heat Vulnerability (accepted as conference proceedings paper for 33rd International Conference on Geoinformatics 2026 https://geoinformatics2026.github.io/paper-p1953/)
Turner, R., Sun, Q.C., & Duckham, M. (2026) Limitations of Current Methodological Approaches in Composite Spatial Indices of Heat Vulnerability and Implications for Decision Making (journal article work in progress)
Cai, W, Sun, Q.C., & Duckham, M. (2026) Urban greenery exerts divergent effects on compound heat and air pollution extremes (journal article work in progress)
Wang, S., Liu, H., Cai, W., Huang, X., & Sun, Q. C. (2025). Australian nationwide assessment of social vulnerability in two decades through its linkage to the built environment. Habitat International, 163, 103495. https://doi.org/10.1016/j.habitatint.2025.103495
Public Datasets: High-resolution PM2.5 dataset for the Melbourne Metropolitan Area, published in the AURIN Data Catalogue. Access here: High-Resolution PM2.5 in Melbourne Metropolitan Area — AURIN Data Catalogue
Building Information Management Digital Twin: RUDY Node: Building Information Management Digital Twin
System Engineering Digital Twin: Video
Physics-Based Digital Twin - LinkedIn