Yichao Shi

Yichao Shi is a doctoral student and Instructor in the Architecture Design Computation program at Georgia Institute of Technology (Georgia Tech). He holds an M.S.Arch. in Design Computation from Georgia Tech, an M.Arch. in Architectural Design from University College London (UCL), and a B.Eng. in Architectural Engineering from Tongji University. His research focuses on computational tools in architectural design, including shape grammars, digital heritage, and AI integration with tools like Stable Diffusion and Midjourney. He explores applications in cultural preservation, parametric design, and human-computer interaction.

Key research areas include generative adversarial networks (GANs), interactive architectural design systems, and parametric modeling of traditional architectural elements (e.g., Chinese Dougong brackets). His work bridges computational methods with cultural and historical contexts, addressing challenges in urban planning, disaster resilience, and mental health through AI-driven solutions.

Yichao’s publications span topics from AI-assisted sound therapy systems for older adults to automated generative design in archaeological reconstruction. His 2022 work on shape-changing architectural modules highlights innovations in robotic actuation and adaptive structures. Though no academic awards are listed, his interdisciplinary approach reflects a commitment to advancing computational design methodologies.