Du, Y., Duever, T. A., & Budman, H. (2015). Fault detection and diagnosis with parametric uncertainty using generalized polynomial chaos.Computers & Chemical Engineering, 76, 63-75.

Du, Y., Duever, T. A., & Budman, H. (2015). Stochastic Fault Diagnosis using a Generalized Polynomial Chaos Model and Maximum Likelihood. IFAC-PapersOnLine, 48(8), 1270-1275.

Al‐Adwani, S., Elkamel, A., Duever, T. A., Yetilmezsoy, K., & Abdul‐Wahab, S. A. (2015). A surrogate‐based optimization methodology for the optimal design of an air quality monitoring network.The Canadian Journal of Chemical Engineering,93(7), 1176-1187.

Kazemi, N., Duever, T. A., & Penlidis, A. (2015). Design of Optimal Experiments for Terpolymerization Reactivity Ratio Estimation.Macromolecular Reaction Engineering, 9(3), 228-244.

Du, Y., Budman, H. M., & Duever, T. A. (2016). Segmentation and Quantitative Analysis of Normal and Apoptotic Cells from Fluorescence Microscopy Images. IFAC-PapersOnLine, 49(7), 603-608.

Mathew, M., & Duever, T. (2015). Reactivity Ratio Estimation in Non‐Linear Polymerization Models using Markov Chain Monte Carlo Techniques and an Error‐In‐Variables Framework. Macromolecular Theory and Simulations, 24(6), 566-579.

Masoumi, S., Reilly, P. M., & Duever, T. A. (2015). Sequential Bayesian adaptive Monte Carlo model discrimination framework with application to chemical kinetics. Chemical Engineering Science, 137, 796-806.