Stadtherr, Mark Ph.D.
|Phone:||The University of Texas at Austin|
|Fax:||Department of Chemical Engineering|
|Email:||200 E Dean Keeton St. Stop C0400|
|UT Mail:||C0400||Austin, TX 78712-1589|
Research Areas: Process Engineering, Energy, Environmental Engineering
B.Ch.E., University of Minnesota, Minneapolis, MN (1972)
Ph.D., Chemical Engineering, University of Wisconsin, Madison, WI (1976)
One focus of our research is on the development and application of strategies for reliable engineering computing. In many applications of interest in chemical engineering it is necessary to deal with nonlinear models of complex physical phenomena, on scales ranging from the macroscopic to the molecular. Frequently these are problems that require solving a nonlinear equation system (algebraic and/or differential) or finding the global optimum of a nonconvex function. Thus, the reliability with which these computations can be done is often an important issue. For example, if there are multiple solutions to the model, have all been located? If there are multiple local optima, has the global optimum been found? If there are uncertain parameters and/or initial conditions in a dynamic model, have the effects of these uncertainties been rigorously quantified. We are using interval mathematics to develop the tools needed to resolve these issues with mathematical and computational certainty, thus providing problem-solving reliability not available when using standard methods.
Another research focus is the formulation and solution of modeling problems that arise in the development of sustainable, energy-efficient and environmentally-conscious processing technology. Of particular interest is the use of room-temperature ionic liquids (ILs) as environmentally-benign replacements for traditional organic solvents and refrigerants, and as sorbents for CO2 capture. Also of interest is modeling the impact of new materials and technology on potentially affected ecosystems.
Awards & Honors
James A. Burns, C.S.C., Graduate School Award (for exemplary contributions to graduate education), University of Notre Dame, 2008.
Computing in Chemical Engineering Award, American Institute of Chemical Engineers, Computing and Systems Technology Division, 1998.
GTE Emerging Scholar Lectureship, University of Notre Dame, Notre Dame, Indiana, 1986.
Xerox Award for Best Research by an Assistant Professor in the Engineering College, University of Illinois, 1982.
School of Chemical Sciences Award for Excellence in Teaching, University of Illinois, 1978.
- Hong, L. D. Simoni, J. E. Bennett, J. F. Brennecke and M. A. Stadtherr, “Simultaneous Process and Material Design for Aprotic N-Heterocyclic Anion Ionic Liquids in Postcombustion CO2 Capture,” Ind. Eng. Chem. Res., 55, 8432-8849 (2016).
- A. Enszer, D. A. Măceș and M. A. Stadtherr, “Probability Bounds Analysis for Nonlinear Population Ecology Models,” Math. Biosciences, 267, 97-108 (2015).
- A. Măceș and M. A. Stadtherr, “Computing Fuzzy Trajectories for Nonlinear Dynamic Systems,” Comput. Chem. Eng., 52, 10-25 (2013).
- Zhao and M. A. Stadtherr, “Rigorous Global Optimization for Dynamic Systems Subject to Inequality Path Constraints,” Ind. Eng. Chem. Res., 50, 12678-12693 (2011).
- A. Enszer, Y. Lin, S. Ferson, G. F. Corliss and M. A. Stadtherr, “Probability Bounds Analysis for Nonlinear Dynamic Process Models,” AIChE J., 57, 404-422 (2011).
- A. Enszer and M. A. Stadtherr, “Verified Solution and Propagation of Uncertainty in Physiological Models,” Reliable Computing, 15, 168-178 (2011).
- D. Simoni, A. Chapeaux, J. F. Brennecke and M. A. Stadtherr, “Extraction of Biofuels and Biofeedstocks from Aqueous Solutions Using Ionic Liquids,” Comput. Chem. Eng., 34, 1406-1412 (2010).
- D. Simoni, J. F. Brennecke and M. A. Stadtherr, “Asymmetric Framework for Predicting Liquid-Liquid Equilibrium of Ionic Liquid-Mixed-Solvent Systems. 1. Theory, Phase Stability Analysis, and Parameter Estimation,” Ind. Eng. Chem. Res., 48, 7246–7256 (2009).
- Lin and M. A. Stadtherr, “Rigorous Model-Based Safety Analysis for Nonlinear Continuous-Time Systems,” Comput. Chem. Eng., 33, 493-502 (2009).
- Lin and M. A. Stadtherr, “Fault Detection in Nonlinear Continuous-Time Systems with Uncertain Parameters,” AIChE J., 54, 2335-2345 (2008).