Leo H. Chiang, Ph.D.
Affiliations: | 2001 | University of Illinois, Urbana-Champaign, Urbana-Champaign, IL |
Area:
Chemical Engineering, Statistics, Industrial EngineeringGoogle:
"Leo Chiang"Parents
Sign in to add mentor| Richard D. Braatz | grad student | 2001 | UIUC | |
| (Fault detection and diagnosis for large -scale systems.) | ||||
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Publications
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| Sansana J, Rendall R, Wang Z, et al. (2020) Sensor fusion with irregular sampling and varying measurement delays Industrial & Engineering Chemistry Research. 59: 2328-2340 |
| Georgakis C, Chin S, Wang Z, et al. (2020) Data-Driven Optimization of an Industrial Batch Polymerization Process Using the Design of Dynamic Experiments Methodology Industrial & Engineering Chemistry Research. 59: 14868-14880 |
| Wang Z, Chiang L. (2019) Monitoring Chemical Processes Using Judicious Fusion of Multi-Rate Sensor Data. Sensors (Basel, Switzerland). 19 |
| Joswiak M, Peng Y, Castillo I, et al. (2019) Dimensionality reduction for visualizing industrial chemical process data Control Engineering Practice. 93: 104189 |
| Qin SJ, Chiang LH. (2019) Advances and opportunities in machine learning for process data analytics Computers & Chemical Engineering. 126: 465-473 |
| Rendall RR, Chiang LH, Reis MS. (2019) Data-driven methods for batch data analysis – A critical overview and mapping on the complexity scale Computers & Chemical Engineering. 124: 1-13 |
| Rendall RR, Castillo I, Schmidt A, et al. (2019) Wide spectrum feature selection (WiSe) for regression model building Computers & Chemical Engineering. 121: 99-110 |
| Simkoff JM, Wang S, Baldea M, et al. (2018) Plant–Model Mismatch Estimation from Closed-Loop Data for State-Space Model Predictive Control Industrial & Engineering Chemistry Research. 57: 3732-3741 |
| Rendall R, Castillo I, Lu B, et al. (2018) Image-based manufacturing analytics: Improving the accuracy of an industrial pellet classification system using deep neural networks Chemometrics and Intelligent Laboratory Systems. 180: 26-35 |
| Chiang L, Lu B, Castillo I. (2017) Big Data Analytics in Chemical Engineering. Annual Review of Chemical and Biomolecular Engineering |