PhD, Massachusetts Institute of Technology (2013)

BChE, University of Minnesota – Twin Cities (2007)

Bio

Dr. Stuber is a Pratt & Whitney Associate Professor in Advanced Systems Engineering with the Dept. of Chemical & Biomolecular Engineering and the Institute for Advanced Systems Engineering at the University of Connecticut. He received his PhD from the Massachusetts Institute of Technology and his BS from the University of Minnesota – Twin cities, both in chemical engineering. In his post-doctoral work, he cofounded a water-tech start-up company focusing on developing flexible high-efficiency solar-driven desalination technologies for diverse applications where membrane technologies prove inadequate. At UConn, his core research focus is on optimization theory, methods, and software for modeling and simulation, robust simulation and design, and controls and operations. His application interests lie in addressing challenging and timely applications from a spectrum of industries including food, energy, water and natural resources, chemicals, finance, and healthcare. The systems-level thinking combined with quantitative rigor enables the development of novel solutions to emerging and intractable problems across these diverse areas.

Current Research

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

Previous Positions

• 2012-2016 Co-founder and director, WaterFX, Inc.

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. Wilhelm, M.E., Wang, C., and Stuber, M.D. Convex and Concave Relaxations of Artificial Neural Network Activation Functions. Journal of Global Optimization. (2022) DOI: 10.1007/s10898-022-01228-x
2. Wang, C., Degnan-Morgenstern, S., Martin, J.D., and Stuber, M.D. Optimal Therapy Design With Tumor Microenvironment Normalization. AIChE Journal. e17747 (2022) DOI: 10.1002/aic.17747
3. Cetegen, S.A. and Stuber, M.D. Optimal Design of Controlled Environment Agricultural Systems Under Market Uncertainty. Computers & Chemical Engineering. 149:107285 (2021). DOI: 10.1016/j.compchemeng.2021.107285
4. Wilhelm, M.E. and Stuber, M.D. EAGO.jl: Easy Advanced Global Optimization in Julia. Optimization Methods & Software. (2020) DOI: 10.1080/10556788.2020.1786566
5. 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: 10.3390/pr6070076
6. Stuber, M.D., Scott, J.K., and Barton, P.I. Convex and Concave Relaxations of Implicit Functions. Optimization Methods and Software. 30(3), 424-460 (2015) DOI: 10.1080/10556788.2014.924514
7. Scott, J.K., Stuber, M.D., and Barton, P.I. Generalized McCormick Relaxations. Journal of Global Optimization. 51(4), 596—606 (2011) DOI: 10.1007/s10898-011-9664-7