AI-Driven
DATA Mining

We design AI-powered models that extract actionable insights from complex, high-dimensional, and often unstructured data. This line of research spans:

• Healthcare AI: Developing interpretable deep learning models for predicting dementia and other cognitive disorders using clinical notes, consultation logs, and behavioral signals.

• Social Network Mining: Analyzing signed networks, user behavior, and content propagation to detect spam, evaluate trust, and design robust recommender systems.

• Recommender Systems: Building robust, trustworthy recommendation models that are resilient to manipulation and sensitive to user trust and preference dynamics, with applications in social platforms and information services.

Our goal is to ensure that the insights derived are not only accurate but also explainable and practically useful in fields such as medicine and online platforms.