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, neuroscience, cognitive computing, distributed intelligence

  • Data Science: knowledge graphs, social computing, recommender systems, privacy, deepfake, data mining, graph data, health data, big scholarly data, science of science, services computing

  • Systems Engineering: human dynamics, brain science, network science, anomaly detection, cyber-physical systems, internet of things, 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 systems

Deepfake detection

Combating fake science and fake media

Services computing

Enable 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

AI for Science

Digital health

Collaboration, teams, and success

Understanding the science of science through mining big scholarly data

Social computing

Exploring human behaviours

Distributed intelligence

Collaborative intelligence over Internet of Things

Human dynamics

Enabling smart mobility

Feedback scheduling

Codesign of control and scheduling