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Fall 2021

Jiang, Yangdi

The demand for large dataset and demand of privacy protection are in constantly conflicts as the balance between the two is hard to keep. Differential privacy is a mathematical rigor definition that provides the balance bewteen these two opposite sides. It's developed with the purpose of making...

Fall 2010

Gonzalez, Ruben

Data reconciliation and gross error detection are traditional methods toward detecting mass balance inconsistency within process instrument data. These methods use a static approach for statistical evaluation. This thesis is concerned with using an alternative statistical approach (Bayesian...

Fall 2023

Puli, Vamsi Krishna

In modern industrial processes, the measurement and storage of thousands of correlated process variables have become commonplace. Dimensionality reduction techniques are often employed to extract underlying informative patterns called features by discarding redundant information. Slow feature...

Fall 2015

Zhao, Fuqiong

Prognostics in engineering field is dedicated to predicting how long further a component or a system will perform their intended functions before failure. Prognostics is an essential building block in condition based maintenance. Accurate prediction of the component remaining useful life provides...

Spring 2023

Han, Donglin

Since the COVID-19 outbreak in Wuhan City in December 2019, numerous model predictions on the COVID-19 epidemics in Wuhan have been reported. These model predictions have shown a wide range of variations. In our first study, we demonstrate that nonidentifiability in model calibrations using the...