Gus Greivel, Ph.D.
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Credentials
Education
Research
Current research
Applied Statistical and Optimization Modeling: I am interested in the application of statistical and optimization models in collaborative research projects. The modeling tools in these fields allow me to 鈥減lay鈥 in a variety of fields and explore interesting research questions with colleagues and teams across the university. I am currently working with two graduate students on interdisciplinary projects to optimize production scheduling and develop statistical models to better mitigate catastrophic events in industrial-scale steel production. I hope to collaborate with my UNE colleagues to apply optimization and data modeling tools to challenging problems spanning the campus.
Teaching and Learning in Mathematics, Statistics and Data Science: I am very interested in improving teaching and learning in mathematics, statistics and data science to improve recruitment and retention of students in these crucial 21st-century fields. These efforts include innovative pedagogies as well as strategies to broaden the pipeline of STEM talent in the K-12 system.
Selected publications
E. Udofia, L. Messer, G. Greivel, A. Newman, B.G. Thomas, A Statistical-Based Model of Roll Force During Commercial Hot Rolling of Steel, Metals (2025)
G. Greivel, S. Bandyopadhyay, A. Newman, B.G. Thomas, Multiple Regression and Transformations at the Industrial Scale, Journal for Statistics and Data Science Education (2025)
N. Torres, G. Greivel, J. Betz, E. Moreno, A. Newman, B.G. Thomas, Optimizing Steel Coil Production Schedules under Continuous Casting and Hot Rolling, European Journal of Operations Research (2024)
G. Greivel, A. Newman, M. Brown, K. Eurek, Improving Mathematical Exposition of an Industrial-Scale Linear Program, INFORMS Transactions on Education (2023)
G. Greivel, S. Strong, A SCALE-UP Instructional Environment for Multivariate Calculus in the Engineering Core, ASEE Rocky Mountain Section Conference, Laramie, WY (May 2019)
S. Strong, G. Greivel, A. Palmer, Context Rich Differential Equations in the Engineering Core and SCALE-UP without Studios, ASEE Rocky Mountain Section Conference, Laramie, WY (May 2019) 鈥 Awarded Best Long Paper
F. V. Kowalski , G. Greivel, Todd Ruskell, Tracy Q. Gardner, S. E. Kowalski, Thomas J. Colling, J.V. Gutierrez Cuba, Enrique Palou. 鈥淯sing InkSurvey with Pen-Enabled Mobile Devices for Real-Time Formative Assessment I. Applications in Diverse Educational Environments.鈥 Proceedings of the 2013 Workshop on the Impact of Pen and Touch Technology on Education (2013).
F. V. Kowalski , G. Greivel, Todd Ruskell, Tracy Q. Gardner, S. E. Kowalski, Thomas J. Colling, J.V. Gutierrez Cuba, Enrique Palou. 鈥淯sing InkSurvey with Pen-Enabled Mobile Devices for Real-Time Formative Assessment II. Indications of Effectiveness in Diverse Educational Environments.鈥 Proceedings of the 2013 Workshop on the Impact of Pen and Touch Technology on Education (2013)
Funded grants
Co-PI, Office of Naval Research Grant #N00014-15-1-2435, 鈥淗orizontal and Vertical Integration of 21st Century Skillsets: Leadership, Computation, and Open-Ended Problem Solving at an Engineering University,鈥 $542,149 (2015-2019)
PI, National Science Foundation Grant DUE-1439754, 鈥淐ollaborative Research: An Engineering University Partnering with a Teacher Preparation University to Produce Highly Qualified Secondary STEM Teachers,鈥 $92,163 (2014-2016)
Research interests
Applied Statistics, Optimization Modeling, Teaching and Learning in STEM