Recently, Beijing Forestry University's (BFU) School of Landscape Architecture participated in the 2025 International Conference on Landscape Architecture Education held by the Council of Educators in Landscape Architecture (CELA), presenting cutting-edge advancements in landscape education and technology. Led by the Vice Dean, a team of six graduate students presented BFU's latest breakthroughs in AI-driven design and ecological studies at the conference.

As one of the most influential organizations in landscape architecture, CELA convened global educators, practitioners, and students under the theme "Processes + Impacts" to address challenges in sustainable design and human-centered environments. Discussions spanned climate resilience, health-focused landscapes, and urban innovation. 

The Vice Dean's keynote speech, "Research on Full-Process Automated Landscape Design Based on Generative Adversarial Networks", introduced a groundbreaking AI framework. This system uses deep learning to automate design processes from site analysis to final plans, with plans to expand into a multifunctional AI platform integrating 3D modeling and urban prediction capabilities. 

Graduate students presented diverse research across parallel sessions, including Resilience and Climate Action, Landscape Architecture for Health, Research + Methods, and the Urban Design Track. Their topics covered coastal habitat conservation strategies for the Coral Triangle region, identification of urban biodiversity priority zones, pollen dispersion simulations in street canyons, 3D point cloud-based tree modeling workflows, renewal approaches for Beijing’s historic Tongzhou South Street, and comparative studies on children's spatial cognition in participatory design. 

The conference fostered in-depth exchanges between BFU scholars and global experts, advancing the school's international collaboration network and reinforcing its role in shaping the future of landscape architecture education. 

Written by Zhou Huidi, Li Xiaoxi
Translated and edited by Song He
Reviewed by Yu Yangyang