Special Session 1:
Interdisciplinary Applications of Artificial Intelligence


The rapid advancement of artificial intelligence (AI) is breaking down traditional disciplinary barriers, offering transformative solutions to several human-centric fields like urban systems, built environments, and human health. From semantic segmentation of street-view imagery to quantify public space quality, to pixel-level analysis of medical scans for early disease detection, AI bridges technological innovation and societal needs. This session focuses on how AI-driven technologies— including multi-source data fusion, computer vision, generative models, and edge computing—can synergize with urban planning, architectural design, environmental science, and healthcare to co-create a future that is more adaptive, resilient, equitable, and sustainable.

 

Topics:

AI-Driven Urban Analytics & Decision-Making
Big Data in Urban Planning & Management
City modelling & simulation
Digital Twin Cities
Computational Urban Design
Urban Visual Intelligence
Smart Urban Futures
Computer Aided Design
Generative Design
  AI 驱动的城市分析与决策
城市规划和管理中的大数据运用
城市建模与模拟
数字孪生城市
计算性城市设计
城市视觉智能
智慧城市的未来
计算机辅助设计
生成式设计

 


Chairs:

Tian Feng

College of Architecture and Environment, Sichuan University, China (fengtian@scu.edu.cn)

Pan Fan

College of Electronics and Information Engineering, Sichuan University, China (panfan@scu.edu.cn)