Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming. - Elsa M. Jordaan; Arthur K. Kordon; Leo H. Chiang; Guido Smits (PPSN, 2004)

Fault diagnosis based on Fisher discriminant analysis and support vector machines. - Leo H. Chiang; Mark E. Kotanchek; Arthur K. Kordon (Comput. Chem. Eng., 2004)

Empirical Models with Self-Assessment Capabilities for On-Line Industrial Applications. - Arthur K. Kordon; Guido Smits; Elsa M. Jordaan; Alex N. Kalos; Flor A. Castillo; Leo H. Chiang (IEEE Congress on Evolutionary Computation, 2006)

Plant-model mismatch estimation in unconstrained state-space MPC. - Jodie M. Simkoff; Siyun Wang; Michael Baldea; Leo H. Chiang; Ivan Castillo; Rahul Bindlish; David B. Stanley (ACC, 2017)

Plant-model mismatch evaluation for unconstrained MPC with state estimation. - Jodie M. Simkoff; Siyun Wang; Michael Baldea; Leo H. Chiang; Ivan Castillo; Rahul Bindlish; David B. Stanley (CDC, 2017)

Autocovariance-based plant-model mismatch estimation for linear model predictive control. - Siyun Wang; Jodie M. Simkoff; Michael Baldea; Leo H. Chiang; Ivan Castillo; Rahul Bindlish; David B. Stanley (Syst. Control. Lett., 2017)

Advances and opportunities in machine learning for process data analytics. - Si-Zhao Joe Qin; Leo H. Chiang (Comput. Chem. Eng., 2019)

Data-driven methods for batch data analysis - A critical overview and mapping on the complexity scale. - Ricardo R. Rendall; Leo H. Chiang; Marco S. Reis (Comput. Chem. Eng., 2019)

Wide spectrum feature selection (WiSe) for regression model building. - Ricardo R. Rendall; Ivan Castillo; Alix Schmidt; Swee-Teng Chin; Leo H. Chiang; Marco S. Reis (Comput. Chem. Eng., 2019)

Monitoring Chemical Processes Using Judicious Fusion of Multi-Rate Sensor Data. - Zhenyu Wang; Leo H. Chiang (Sensors, 2019)

Data-driven plant-model mismatch quantification for MIMO MPC systems with feedforward control path. - Xiaodong Xu; Jodie M. Simkoff; Michael Baldea; Leo H. Chiang; Ivan Castillo; Rahul Bindlish; Brian Ashcraft (ACC, 2020)

Reinforcement Learning-Based Fed-Batch Optimization with Reaction Surrogate Model. - Yan Ma; Zhenyu Wang; Ivan Castillo; Ricardo R. Rendall; Rahul Bindlish; Brian Ashcraft; David Bentley; Michael G. Benton; José A. Romagnoli; Leo H. Chiang (ACC, 2021)

Integration of process knowledge and statistical learning for the Dow data challenge problem. - Si-Zhao Joe Qin; Siyi Guo; Zheyu Li; Leo H. Chiang; Ivan Castillo; Birgit Braun; Zhenyu Wang (Comput. Chem. Eng., 2021)

Recent trends on hybrid modeling for Industry 4.0. - Joel Sansana; Mark N. Joswiak; Ivan Castillo; Zhenyu Wang; Ricardo R. Rendall; Leo H. Chiang; Marco S. Reis (Comput. Chem. Eng., 2021)

Continuous assessment of data sources quality for improving the resilience of multisource fusion platforms. - Eugeniu Strelet; Zhenyu Wang; You Peng; Ivan Castillo; Ricardo R. Rendall; Birgit Braun; Leo H. Chiang; Marco S. Reis (ACC, 2022)

Contamination classification for pellet quality inspection using deep learning. - You Peng; Birgit Braun; Casey McAlpin; Michael Broadway; Brenda Colegrove; Leo H. Chiang (Comput. Chem. Eng., 2022)

Prognostics for Chemical Processes. - Ivan Castillo; Zhenyu Wang; Leo H. Chiang (ACC, 2024)