§  Home

§  Research

§  Publications









My research is statistical modeling and machine learning intersecting with systems or domains having complex data structures, such as large volume, high dimensionality, heterogeneity, multi-source, multi-level, and multi-task. My methodological development also emphasizes integration of data-driven models with domain knowledge.

Specifically, I have been working on the following areas:

§  Health care data analytics

Overview of research in ASU-Mayo Clinic Imaging Informatics Laboratory (AMIIL)

§  Modeling and analysis of medical imaging, genomics, and clinical data toward Precision Medicine. Focused diseases include neurological disorders (Alzheimer’s disease, Parkinson’s disease, migraine, Traumatic Brain Injury) and cancer (glioblastoma brain cancer, breast cancer, prostate cancer, lung cancer).

§  Health information systems integration and data analytics for improving quality and process efficiency

§  Network data analytics

§  Machine learning methods for network big data

§  Monitoring, anomaly detection, and prognostics in large communication networks

§  Quality and reliability engineering

§  Transfer learning based process modeling and control

§  Multi-sensor fusion and sensing data uncertainty analysis

§  Reliability modeling and prognostics of hierarchical systems