Jianguo Wu
Professor
Department of Industrial Engineering and Management
Peking University
China
Biography
Wu's research interests focus on statistical modeling, monitoring and control of complex manufacturing (e.g., nanomanufacturing and 3D printing) and service systems/processes for system design, quality control and performance improvement through integrated applications of sensing technology, engineering domain knowledge and advanced data analytics. • Data analytics for manufacturing system improvement: quality characterization and quantification; sensor/microscopic images data collection; nondestructive inspection and monitoring; physical process modeling and statistical calibration. • Data driven system fault detection, diagnosis and prognostics: changes detection; root causes identification; integration of reliability theory, statistical modeling with engineering/domain knowledge for fault management in manufacturing, energy and service systems. • Bayesian and stochastic filtering for engineering system control and improvement: spatial or temporal modeling of processes; Bayesian inference of state space models; sequential Monte Carlo method development.
Research Interest
Quality, Reliability and Applied Statistics Data analytics for system/process monitoring and improvement Data driven system fault detection, diagnosis and prognostics; Big data analytics for smart and connected systems Advanced/Smart manufacturing (3D printing, nanocomposites manufacutring)
