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Nonlinear and Non-Gaussian Dynamic Batch Process Monitoring Using a New Multiway Kernel Independent Component Analysis and Multidimensional Mutual Information Based Dissimilarity Approach

Industrial & engineering chemistry research, 2012-08, Vol.51 (33), p.10910-10920

2012

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Artificial Intelligence Algorithms for Treatment of Diabetes

Algorithms, 2022-08, Vol.15 (9), p.299

2022

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A novel dynamic bayesian network-based networked process monitoring approach for fault detection, propagation identification, and root cause diagnosis

AIChE journal, 2013-07, Vol.59 (7), p.2348-2365

2013

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Multi-Task Classification of Physical Activity and Acute Psychological Stress for Advanced Diabetes Treatment

Signals (Basel), 2023-02, Vol.4 (1), p.167-192

2023

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Acute Psychological Stress Detection Using Explainable Artificial Intelligence for Automated Insulin Delivery

Signals (Basel), 2024-09, Vol.5 (3), p.494-507

2024

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A new dissimilarity method integrating multidimensional mutual information and independent component analysis for non-Gaussian dynamic process monitoring

Chemometrics and intelligent laboratory systems, 2012-06, Vol.115, p.44-58

2012

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Hidden Markov Model Based Adaptive Independent Component Analysis Approach for Complex Chemical Process Monitoring and Fault Detection

Industrial & engineering chemistry research, 2012-04, Vol.51 (15), p.5506-5514

2012

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A Gaussian mixture copula model based localized Gaussian process regression approach for long-term wind speed prediction

Energy (Oxford), 2013-11, Vol.61, p.673-686

2013

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Multiway independent component analysis mixture model and mutual information based fault detection and diagnosis approach of multiphase batch processes

AIChE journal, 2013-08, Vol.59 (8), p.2761-2779

2013

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A Bayesian model averaging based multi-kernel Gaussian process regression framework for nonlinear state estimation and quality prediction of multiphase batch processes with transient dynamics and uncertainty

Chemical engineering science, 2013-04, Vol.93, p.96-109

2013

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Multi-rate modeling and economic model predictive control of the electric arc furnace

Journal of process control, 2016-04, Vol.40, p.50-61

2016

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Handling sensor faults in economic model predictive control of batch processes

AIChE journal, 2019-02, Vol.65 (2), p.617-628

2019

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Handling multi‐rate and missing data in variable duration economic model predictive control of batch processes

AIChE journal, 2017-07, Vol.63 (7), p.2705-2718

2017

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Immobilized RGD concentration and proteolytic degradation synergistically enhance vascular sprouting within hydrogel scaffolds of varying modulus

Journal of biomaterials science. Polymer ed., 2020-02, Vol.31 (3), p.324-349

2020

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A non-Gaussian pattern matching based dynamic process monitoring approach and its application to cryogenic air separation process

Computers & chemical engineering, 2013-11, Vol.58, p.40-53

2013

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Economic model predictive control of the electric arc furnace using data-driven multi-rate models

2016 American Control Conference (ACC), 2016, p.1790-1795

2016

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Model Identification and Model Predictive Control of Biopharmaceutical and Biomedical Systems

IFAC-PapersOnLine, 2022, Vol.55 (7), p.51-56

2022

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Critical Quality Predictive Control of Fed-Batch Mammalian Cell Bioreactors⁎⁎A research grant by Amgen to conduct model development studies at Illinois Institute of Technology and a Graduate Co-op position provided to Robert Jackson at Amgen are gratefully acknowledged

IFAC-PapersOnLine, 2021, Vol.54 (3), p.330-335

2021

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Critical Quality Predictive Control of Fed-Batch Mammalian Cell Bioreactors

IFAC-PapersOnLine, 2021, Vol.54 (3), p.330-335

2021

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Virtual Patients: An Enabling Technology for Multivariable Control of Biomedical Systems

IFAC-PapersOnLine, 2020, Vol.53 (2), p.16233-16238

2020

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Virtual Patients: An Enabling Technology for Multivariable Control of Biomedical Systems⁎⁎This work was supported by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) grants DP3 DK101075-01 and DP3 DK101077-01, and the Juvenile Diabetes Research Foundation (JDRF) grant A18-0036-001 made possible through collaboration between the JDRF and The Leona M. and Harry B. Helmsley Charitable Trust

IFAC-PapersOnLine, 2020, Vol.53 (2), p.16233-16238

2020

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Handling multi-rate and missing data in system identification

2017 American Control Conference (ACC), 2017, p.839-844

2017

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Multi-kernel Gaussian process regression and Bayesian model averaging based nonlinear state estimation and quality prediction of multiphase batch processes

2013 American Control Conference, 2013, p.5451-5456

2013

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An independent component analysis and mutual information based non-Gaussian pattern matching method for fault detection and diagnosis of complex cryogenic air separation process

2013 American Control Conference, 2013, p.2797-2802

2013

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Control and protection of MMC-based HVDC systems: A review

Energy reports, 2023-12, Vol.9, p.1571-1588

2023

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Nonlinear and Non-Gaussian Dynamic Batch Process Monitoring Using a New Multiway Kernel Independent Component Analysis and Multidimensional Mutual Information Based Dissimilarity Approach

Artificial Intelligence Algorithms for Treatment of Diabetes

A novel dynamic bayesian network-based networked process monitoring approach for fault detection, propagation identification, and root cause diagnosis

Multi-Task Classification of Physical Activity and Acute Psychological Stress for Advanced Diabetes Treatment

Acute Psychological Stress Detection Using Explainable Artificial Intelligence for Automated Insulin Delivery

A new dissimilarity method integrating multidimensional mutual information and independent component analysis for non-Gaussian dynamic process monitoring

Hidden Markov Model Based Adaptive Independent Component Analysis Approach for Complex Chemical Process Monitoring and Fault Detection

A Gaussian mixture copula model based localized Gaussian process regression approach for long-term wind speed prediction

Multiway independent component analysis mixture model and mutual information based fault detection and diagnosis approach of multiphase batch processes

A Bayesian model averaging based multi-kernel Gaussian process regression framework for nonlinear state estimation and quality prediction of multiphase batch processes with transient dynamics and uncertainty

Multi-rate modeling and economic model predictive control of the electric arc furnace

Handling sensor faults in economic model predictive control of batch processes

Handling multi‐rate and missing data in variable duration economic model predictive control of batch processes

Immobilized RGD concentration and proteolytic degradation synergistically enhance vascular sprouting within hydrogel scaffolds of varying modulus

A non-Gaussian pattern matching based dynamic process monitoring approach and its application to cryogenic air separation process

Economic model predictive control of the electric arc furnace using data-driven multi-rate models

Model Identification and Model Predictive Control of Biopharmaceutical and Biomedical Systems

Critical Quality Predictive Control of Fed-Batch Mammalian Cell Bioreactors⁎⁎A research grant by Amgen to conduct model development studies at Illinois Institute of Technology and a Graduate Co-op position provided to Robert Jackson at Amgen are gratefully acknowledged

Critical Quality Predictive Control of Fed-Batch Mammalian Cell Bioreactors

Virtual Patients: An Enabling Technology for Multivariable Control of Biomedical Systems

Handling multi-rate and missing data in system identification

Multi-kernel Gaussian process regression and Bayesian model averaging based nonlinear state estimation and quality prediction of multiphase batch processes

An independent component analysis and mutual information based non-Gaussian pattern matching method for fault detection and diagnosis of complex cryogenic air separation process

Control and protection of MMC-based HVDC systems: A review

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