Dr. Paynabar’s research interests comprise both applied and theoretical aspects of data mining and statistical modeling integrated with engineering knowledge. His current research focuses on the analysis of high-dimensional complex data including multi-stream signals, images, videos, point-clouds and network data, for system modeling, monitoring, diagnostics and prognostics using semi-parametric and nonparametric approaches. The generic methodologies he develops have been widely utilized in a variety of applications ranging from manufacturing including automotive, aerospace, medical device, and so forth, to healthcare applications including cardiac surgery and rotator cuff tear surgery.