Research Themes

Model Fusion for Federated Learning across Heterogeneous Systems

Transferrable and Interpretable ML for Healthcare

Black-Box Optimization for Automated Machine Learning and Scientic Discovery

Cost-Effective Gaussian Processes for Big Data