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Skip to Search Results- 1325Department of Chemical and Materials Engineering
- 3Department of Biomedical Engineering
- 2Department of Biological Sciences
- 2Department of Laboratory Medicine and Pathology
- 1Department of Civil and Environmental Engineering
- 1Department of Human Ecology
- 2Bendrich, Michelle
- 2El-Thaher, Nayef
- 2Fadic Eulefi, Anton
- 2Hoseinzadeh Hejazi, Sayed Alireza
- 2Hosseininejad, Seyed Shaham Aldin
- 2Karkooti, Amin
- 44Xu, Zhenghe (Chemical and Materials Engineering)
- 40Huang, Biao (Chemical and Materials Engineering)
- 34Liu, Qingxia (Chemical and Materials Engineering)
- 27Henein, Hani (Chemical and Materials Engineering)
- 27Zeng, Hongbo (Chemical and Materials Engineering)
- 20Gupta, Rajender (Chemical and Materials Engineering)
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Mixtures of Probabilistic Principal Component Regression: Application in Optimality Assessment
DownloadSpring 2017
Performance of the operating processes may change by time due to uncertainties and process condition changes. Hence, online operating performance assessment has attracted attentions from academia and industry. One of the main ingredients of performance assessment is optimality assessment. On one...
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Spring 2016
Neurotrophic factor peptide analogues are capable of promoting healing by neurogenesis, enhancing neuronal survival and attenuating glial activation. In vivo peptide delivery is difficult due to susceptibility to proteases, but they are considered ideal therapeutics due to specificity, potency,...
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Spring 2014
This study aims to develop a new framework to detect, isolate and estimate the magnitude of additive faults that occur in linear time invariant (LTI) systems. This study starts with introduction of a new framework to deal with additive step type faults to improve the shortcomings attributed to...
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Spring 2017
Distributed parameter systems (DPS) are models of fundamental conservation laws in industrial processes, such as chemical, petroleum, metallurgical and solar thermal energy processes. The major drawback of DPS models is that they take form of partial differential equations (PDEs) containing...
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Spring 2015
Distributed parameter systems (DPSs) are distinguished by the fact that the states, controls, and outputs may depend on spatial position. The certain class of dissipative DPSs includes many underlying chemical and mechanical spatiotemporal phenomena such as chemical reactions, convection and...
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Model Predictive Control of Non-Isothermal Dispersive Chemical Tubular Reactors with Recycle Flow
DownloadFall 2020
Tubular reactors have widespread applications in petrochemical, biochemical and pharmaceutical unit operations. The design of a control law, which accounts for stabilization of the concentration and the temperature of the chemical component during the reaction in an isothermal/non-isothermal...
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Spring 2022
Two-thirds of the world population faces severe water stress at least once per month in a year. The rapidly growing population exacerbates freshwater scarcity. Additionally, climate change, pollution, and bio-energy demands amplify the water demand problem. Since a large percentage of freshwater...
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Spring 2024
Modern industries are increasingly embracing complex, large-scale processes with interconnected units for their economic benefits. The increasing scale of industrial processes and the complexity of unit interactions substantially complicate the development of advanced process control systems....
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Modeling and Control for Renal Anemia Treatment with Erythropoietin Using Physics-Informed Neural Network
DownloadSpring 2023
Patients with renal anemia are usually treated with recombinant human erythropoietin (EPO) because of insufficient renal EPO secretion. Clinically, this treatment process is labor intensive. It requires trained personnel to assess monthly Hgb levels, consider intra-patient variability and make...