My research interests comprise both applied and methodological aspects of statistical learning & analytics integrated with engineering/domain knowledge. My current research focuses on the analysis of high-dimensional complex-structured data including multi-stream signals, images, videos, point clouds and network data, for system modeling, monitoring, diagnostics and prognostics. Some examples of my projects include:
- Real-time analysis of high-dimensional tensor data for quality improvement
Sponsor: NSF, Boeing
– Defect detection on images with applications in NDE methods
– Monitoring and diagnosis of high-dimensional streaming data
- Dynamic prognostics for massive degradation-based signals
Sponsor: NSF
– Scalable prognostics methodology for mutistream signals and images
– Sensor selection for prognostics
- Statistical learning applications in healthcare and social networks
Sponsor: George Family Foundation
– Sequence clustering with applications in patient flow estimation
– Measurement system analysis for longitudinal MRI data
– Monitoring and diagnosis in dynamic social networks
