Area
Natural Language Processing
Developing advanced NLP techniques for text analysis, sentiment analysis, and information extraction from large-scale textual data across multiple languages and domains.
NLPDeep LearningText Analysis
Integrating text, images, sensors and social signals to understand population health, research trends, and societal dynamics.
Interdisciplinary, reproducible, and designed for practical impact.
Current focus
Work across language, health, behaviour, and knowledge systems. Each area is treated as a discrete block with clear inputs, methods, and outputs.
Developing advanced NLP techniques for text analysis, sentiment analysis, and information extraction from large-scale textual data across multiple languages and domains.
Applying machine learning and statistical methods to extract insights from complex datasets, with focus on social media data, healthcare data, and business intelligence.
Creating innovative text mining approaches for knowledge discovery, pattern recognition, and automated information extraction from unstructured textual data.
Using computational methods to study social phenomena, online behaviour, and information diffusion in digital platforms and social networks.
Research projects are presented as flat blocks of status, scope, and funding context.
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.
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.