Projects
Current work spans NLP, multimodal analysis, assistive systems, digital health, and computational social science.
Active
This study examines the dynamics of Chinese fashion aesthetics through social media analysis using multimodal data, and explores how fashion trends are represented, communicated, and diffused online.
An intelligent platform integrating multimodal data to predict chronic disease flare-ups and recommend personalised behavioural changes, and will evolve into a digital twin powered by federated learning for privacy-preserving, adaptive healthcare.
A SURF summer project analysing how public narratives around Japan’s constitutional revision discussions evolve across platforms, languages, and cultural contexts using multilingual social media data, topic modelling, sentiment and stance analysis, temporal comparison, and network visualisation.
An assistive algorithm for visually impaired users that combines multi-camera vision to enhance spatial perception and object awareness and integrating vLLM for contextual understanding and optional LiDAR input for enhanced depth sensing, aiming to deliver robust, real-time assistance to improve user independence and environmental interaction.