Zhihao Kang is a Ph.D. candidate in Landscape Architecture at the School of Architecture, Tianjin University. Her research focuses on integrating multi-source urban spatial data, human perception, and artificial intelligence to support perceptual urban design and spatial optimization. She explores the mechanisms linking social media hotspot spaces, visual attention, and public emotion through multimodal data—combining street-view imagery, social media analytics, and human-factor experiments using eye-tracking (Tobii Spark), electrodermal activity (EDA), and near-infrared sensing. Her current work aims to develop AI-driven models to predict urban perception and optimize commercial and cultural streetscapes based on visual salience and social behavior. She actively collaborates across disciplines on smart city and perception-driven landscape design.