Chiang, L.

Authored

(87a) Hybrid Modeling for Managing Process Changes in Chemical Processing Industries
2023 Spring Meeting and 19th Global Congress on Process Safety
What Does It Take to Scale AI in the Chemical Industry?
2022 Spring Meeting and 18th Global Congress on Process Safety Proceedings
(635f) Statistical Machine Learning for the DOW Data Challenge Problem
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(375e) Keynote Talk: Machine Learning and AI Applications in the Chemical Industry
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(635c) Regularized Bayesian Fusion for Toxin Concentration Estimation in an Industrial Wastewater Treatment Plant
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(107a) Panel Discussion: Data Literacy in Chemical Industry
2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety (ISBN: 978-0-8169-1115-8)
(138b) Applying Reinforcement Learning for Batch Trajectory Optimization in an Industrial Chemical Process
2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety (ISBN: 978-0-8169-1115-8)
(66a) Investigation of Transfer Learning for Image Classification and Impact on Training Sample Size for Image Classification Tasks
2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety (ISBN: 978-0-8169-1115-8)
(339g) Applying Reinforcement Learning to Control Batch Processes
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)
(9a) Image Classification to Automate at-Line Pellet Inspection in Plastics Production
12th Southwest Process Technology Conference
(4d) Programming Overview of Industry 4.0
2020 Virtual Spring Meeting and 16th GCPS (ISBN: 978-0-8169-1113-4)
(161a) Sensor Fusion Applications in Industrial Chemical Process Monitoring
2020 Virtual Spring Meeting and 16th GCPS (ISBN: 978-0-8169-1113-4)
(84d) Generating Insights Using Text Mining Methodologies from Aiche Survey and Industrial Documents
2020 Virtual Spring Meeting and 16th GCPS (ISBN: 978-0-8169-1113-4)
(199b) Data Driven Plant Model Mismatch Estimation for Dmc with Unknown Noise Variance
2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)
(672a) Sensor Fusion with Irregular Sampling and Varying Measurement Delays
2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)
(191a) Visualizing Chemical Process Data Via Dimensionality Reduction
2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)
(191b) Minimizing Batch Cycle Time Using Evolutionary Design of Dynamic Experiments
2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)
(146a) Persistent Homology to Visualize Batch Data Sets in Chemical Processes
2019 Spring Meeting and 15th Global Congress on Process Safety (ISBN: 978-0-8169-1109-7)
(601c) Multi-Rate Hard and Soft Sensors Fusion for Monitoring Chemical Processes
2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)
(287b) Industrial Internet of Things (IIoT) Applications and Industry 4.0 (Leo Chiang, Dow)
2018 AIChE Annual Meeting (ISBN: 978-0-8169-1108-0)
(177a) Obtaining Parsimonious Regression Models with Large Datasets
2018 Spring Meeting and 14th Global Congress on Process Safety
(199a) Image Classification in Manufacturing Analytics: Improving a Pellet Classification System with Deep Neural Networks
2018 Spring Meeting and 14th Global Congress on Process Safety
(284b) Autocovariance-Based Model Mismatch Diagnosis for MPC with State Estimation
2017 Annual Meeting (ISBN: 978-0-8169-1102-8)
Advances in Big Data Analytics at The Dow Chemical Company
9th Southwest Process Technology Conference
(179c) Big Data Analytics for Batch Performance Improvement
2017 Spring Meeting and 13th Global Congress on Process Safety (ISBN: 978-0-8169-1098-4)
(309a) A State-Space Formulation for Autocovariance-Based Plant-Model Mismatch Estimation in Model Predictive Control
2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)
(268h) Expectation-Maximization and Bayesian Inference Based Probabilistic PLS Methods for Soft Sensor Estimation and Prediction of Industrial Processes With Stochastic Missing Measurements
2013 AIChE Annual Meeting (ISBN: 978-0-8169-1110-3)
(585a) Autocovariance-Based Plant-Model Mismatch Estimation for Linear MPC with  Measurable Disturbances
2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)
(523c) Bayesian Clustering Based Unsupervised Fault Detection and Diagnosis of Industrial Processes With Shifting Operating Conditions
2013 AIChE Annual Meeting (ISBN: 978-0-8169-1110-3)
(479b) Parsimonious Modeling Approaches for Batch Process Analysis
2016 AIChE Annual Meeting (ISBN: 978-0-8169-1097-7)
(268g) Utilizing Multi-Way Partial Least Squares Discriminant Analysis: An Industrial Case Study
2013 AIChE Annual Meeting (ISBN: 978-0-8169-1110-3)

Related Proceedings

9th Southwest Process Technology Conference12th Southwest Process Technology Conference2013 AIChE Annual Meeting2016 AIChE Annual Meeting2017 Annual Meeting2017 Spring Meeting and 13th Global Congress on Process Safety2018 AIChE Annual Meeting2018 Spring Meeting and 14th Global Congress on Process Safety2019 AIChE Annual Meeting2019 Spring Meeting and 15th Global Congress on Process Safety2020 Virtual AIChE Annual Meeting2020 Virtual Spring Meeting and 16th GCPS2021 AIChE Virtual Spring Meeting and 17th Global Congress on Process Safety2021 Annual Meeting2022 Spring Meeting and 18th Global Congress on Process Safety Proceedings2023 Spring Meeting and 19th Global Congress on Process Safety