Dr. Thomas Duever
Areas of Academic Interest
Applied statistics, including optimal experimental design, parameter estimation and model discrimination
Markov Chain Monte Carlo methods
Product development
Fault detection
Polymer reaction engineering
Education
Year | University | Degree |
---|---|---|
1987 | University of Waterloo | PhD |
1983 | University of Waterloo | MASc |
1982 | University of Waterloo | BASc |
Selected Courses
Course Code | Course Title |
---|---|
CE8140 | Statistics for Engineering |
Spotlight
For Thomas Duever, life as a first-year engineering student was a struggle. The course material was overwhelming, and he nearly failed his applied statistics midterm. He knew he had to make a choice: either quit, or keep trying. “I decided to give it everything I had,” he says. “So I spent long nights in the library working through every problem in the textbook until I got it.”
Duever most certainly did get it, and went on to do his master’s and PhD. While much of his focus was on polymer reaction engineering, the life lessons he learned as a first-year student were just as important. “I learned about perseverance. And I learned that just because a student is struggling in the beginning doesn’t mean they can’t eventually excel.”
Today, as an award-winning professor and the dean of the Faculty of Engineering and Architectural Science, Duever attributes his ability to make it through the tough times to his father’s can-do influence, as well as his own determined persistence. He also gives credit to one professor, a true mentor who supervised Duever for much of his graduate education, as well as one particular undergrad class. “You’ll never guess which one,” he says, smiling. “Applied statistics.”
“The graduate student years were some of the best of my life. It’s a time in your life when you get to pursue what you’re really interested in and curious about.”
- Fellow of the Chemical Institute of Canada
- Sir Sandford Fleming Foundation Teaching Excellence Award
- Samira Masoumi and Thomas A. Duever, “Model Discrimination in Copolymerization Using the Sequential Bayesian Monte Carlo Method”, Macromol. Theory Simul., 25, 435-448, 2016.
- Yuncheng Du, Hector Budman and Thomas Duever, “Fault Detection and Diagnosis with Parametric Uncertainty using Generalized Polynomial Chaos”, Computers and Chemical Engineering, 76(8), 63-75, 2015.
- Niousha Kazemi, Thomas A. Duever and Alexander Penlidis, “Design of Optimal Experiments for Terpolymerization Reactivity Ratio Estimation, Macromol. React. Eng., 9, 228-244, 2015.
- Woosung Jung, Marzieh Riahinezad, Thomas A. Duever and Alexander Penlidis, “Case Studies with Mathematical Modeling of Free-Radical Multi-Component Bulk/Solution Polymerizations: Part 1”, J. Macromol. Sci. Part A, 52(9) 659-698, 2015.
- Manoj Mathew and Thomas Duever, “Reactivity Ratio Estimation in Nonlinear Polymerization Models using Markov Chain Monte Carlo Techniques and an Error-In-Variables Framework”, Macromol. Theory Simul., 24, 566-579, 2015.
- Board of Directors, The Fields Institute
- Vice Chair, Council of Ontario Deans of Engineering