“Humanity’s greatest advances are not in its discoveries, but in how those discoveries are applied to reduce inequity.” — Bill Gates
RESEARCH AREAS/INTERESTS
Artificial Intelligence: graph learning, AI for science, trustworthy machine learning, responsible AI, computational intelligence, NeuroAI, cognitive computing, distributed intelligence
Data Science: big data analytics, data mining, privacy, data trust, behavioural economics, social computing, recommender systems, knowledge graphs, science of science, healthcare, services computing
Systems Engineering: human behaviour, brain science, human intelligence, neuroscience, network science, complex systems, anomaly detection, cyber-physical systems, mobile computing, digital health
Selected Research Projects
Graph learning
Creating next-generation machine learning
Trustworthy AI
Building trustworthy intelligent systems
Privacy and Fairness
Advancing responsible AI
Deep anomaly analytics
Ensuring safety and security
Cyber-physical systems
Defining next-generation healthcare services
Data trust
Combating fake science and fake media
Services computing
Enabling smart services with effective and efficient recommender systems
Knowledge graphs
Developing advanced AI techniques for the engineering of knowledge graphs
Scholarly computing
Scientific collaborator recommendation, article recommendation, venue recommendation
Brain & intelligence
AI for Science
Digital health
Big data analytics
Understanding the science of science through mining big scholarly data
Behavioural economics
Exploring human behaviours in computation
Distributed intelligence
Collaborative intelligence in complex systems
Human behaviour
Enabling smart living and mobility
Feedback scheduling
Codesign of control and scheduling