Qian (Chayn) Sun
Associate Professor Qian (Chayn) Sun is a researcher specializing in quantitative geography, environmental and urban informatics, and the impacts of urbanization and human movements across spatial and temporal scales. With expertise in developing spatial and statistical algorithms, she focuses on modelling patterns and investigating factors contributing to complex human-environment interactions. Sun's PhD research integrated human perception variables with contextual location information into one conceptual framework. The combination of movement tracking and associated geospatial data collections has significantly improved the understanding of the mechanisms underlying human spatial behaviour and the complex geographical environment. Currently exploring the integration of cloud computing, big Earth observation data, and AI with social-ecological theories, Associate Professor Sun aims to address climate change challenges facing both people and the environment. Through an interdisciplinary approach, she seeks to derive spatially explicit insights to inform strategies for mitigating these challenges. Committed to advancing understanding and finding solutions to real-world problems, Sun strives to make significant contributions to society and the environment.
Sessions
An RDT framework was developed using open-source tools integrating real-time IoT data. Key outcomes include an integrated spatial database, a coupled physical-digital city model, and an interactive VR interface. This approach emphasize data interoperability and real-time event triggers, enhancing flood modeling accuracy and disaster response strategies.