“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