Lynn Schreyer Bennethum

Associate Professor, Department of Mathematical and Statistical Sciences

University of Colorado Denver

Center for Computational Mathematics 
Department of Mathematical and Statistical Sciences

University of Colorado Denver                UPS:
Lynn S. Bennethum                                               Lynn S. Bennethum
Campus Box 170                                                    Dept. of Mathematical and Statistical Sciences
1250 14th St.,  Suite 600                                        University of Colorado Denver
P. O. Box 173364,                                                  1250 14th St., Sixth Floor
Denver, Colorado 80217-3364                             Denver, CO  80202

Phone: (303) 315-1729
Fax: (303) 315-1704

Students click here.
Intermath project. Click here.

Research Interests

I am interested in mathematically modeling porous media - any material consisting of a solid and one or more other phases. In particular I enjoy modeling swelling porous materials (materials that swell due to the addition of more material, changing the concentration of ions, or the unloading of a pressure load), and porous materials with more than one fluid phase. Examples of swelling porous media include clays (very pervasive here in the Denver area!), polymers (such as drug-delivery polymers and bio-polymers), and cell membranes. To develop models I use a combination of averaging theory and thermodynamics (exploitation of the second law and manipulating independent variables to relate theory with what is measurable). PhD students have worked on modeling drug-delivery systems involving swelling polymers such as Aleve ( Tessa Weinstein and Keith Wojciechowski), the movement of cilia in lungs (Kannanut Chamsri), and transport of water through multiphase fluid porous media ( Eric Sullivan). I have also contributed in collaborative settings to modeling forest fires, upscaled reactive transport, and laminar to turbulent transition of fluid flow, and refugee movement.
Current research projects include:

h-index (Accessed March 2015, Google Scholar): 19.


Much of my enthusiasm comes from relating mathematical material to real-world observations and so I incorporate applications in math courses ranging from precalculus to graduate level courses in analysis. The hypothesis that using real-world problems helps long-term retention was born out by an NSF sponsored study I let between 2003 and 2006 (InterMath) that demonstrated that students who take Calculus I, II, and III with application projects had higher GPA’s in the year following the semester they took Calculus III than the control groups. I also believe that an interactive classroom and student support in the form of clear explanations, carefully constructed homework sets, regular feedback, and interest in students' learning help students progress in mathematics as quickly as possible. I also enjoy developing and teaching courses and workshops for middle/high school teachers where integration of math concepts with real-world problems has been a consistent theme. In recognition of these activities I received the College of Liberal Arts and Sciences Award for Excellence in Teaching for 2014.
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Last updated: Feb. 2015