Matthew Stuber

Assistant Professor, Director of Graduate Studies

PhD, Massachusetts Institute of Technology (2013)
BChE, University of Minnesota – Twin Cities (2007)
Current Research

• Process systems engineering: optimal design, design under uncertainty
• Global optimization
• Process improvement and intensification
• Renewable energy and process integration
• Desalination and water treatment

Previous Positions

• 2012-2016 Co-founder and director, WaterFX, Inc.
• 2007-2013 PhD Candidate, MIT

Awards and Honors

• AIChE CAST Division W. David Smith Jr. Graduate Publication Award (2018)
• Journal of Global Optimization Best Paper Award (2012)

Selected Publications

1. Gottlieb, R.X., Xu, Pengfei, and Stuber, M.D. Automatic Source Code Generation for Deterministic Global Optimization With Parallel Architectures. Optimization Methods & Software (2024), DOI: doi.org/10.1080/10556788.2024.2396297
2. Rastinejad, J., Putnam, S., and Stuber, M.D. Technoeconomic Assessment of Solar Technologies for the Hybridization of Industrial Process Heat Systems Using Deterministic Global Dynamic Optimization. Renewable Energy. 216, 119069 (2023), DOI: doi.org/10.1016/j.renene.2023.119069
3. Stuber, M.D. A Differentiable Model for Optimizing Hybridization of Industrial Process Heat Systems with Concentrating Solar Thermal Power. Processes. 6(7), 76 (2018). DOI: doi.org/10.3390/pr6070076
4. Stuber, M.D. Optimal Design of Fossil-Solar Hybrid Thermal Desalination for Saline Agricultural Drainage Water Reuse. Renewable Energy. 89, 552-563 (2016). DOI: doi.org/10.1016/j.renene.2015.12.025
5. Stuber, M.D., and P.I. Barton. Semi-Infinite Optimization with Implicit Functions. I&EC Research. 54(1), 307—317 (2015). DOI: doi.org/10.1021/ie5029123
6. Stuber, M.D., Sullivan, C., Kirk, S.A., Farrand, J.A., Schillaci, P.V., Fojtasek, B.D., and A.H. Mandell, Pilot Demonstration of Concentrated Solar-Powered Desalination of Subsurface Agricultural Drainage Water and Other Brackish Groundwater Sources. Desalination. 355, 189—196 (2015). DOI: doi.org/10.1016/j.desal.2014.10.037
7. Stuber, M.D., Scott, J.K., and P.I. Barton. Convex and Concave Relaxations of Implicit Functions. Optimization Methods and Software. 30(3), 424-460 (2014). DOI: doi.org/10.1080/10556788.2014.924514