Mathematical Association of America, Texas Section Meeting, University of North Texas

March 31-April 2, 2022

Tarleton math faculty and students were prominently featured in this year’s meeting of the MAA Texas section. The 2023 MAA Texas Section meeting will be hosted by Tarleton State University.

Dr. Eileen Faulkenberry was elected President, Mathematical Association of America Texas Section.

The Program Invited speakers included Tarleton faculty:

Dr. Scott Cook -Tarleton State University, Dr. William Hager -Texas Lutheran University, Dr. Betseygail Rand – Texas Lutheran University, Gerrymandering Symposium

Undergraduate Presentations were given by Tarleton Students:

Dashon Mitchell, Derek Hopkins; advisor Dr. Chris Mitchell: “A mathematical model for Onchocerciasis and Resistance in Treatment”
Aurod Ounsinegad; advisor Dr. Chris Mitchell: “Dynamics of Eastern Equine Encephalitis Infection Rates: A Mathematical Approach”
Aurod Ounsinegad; advisor Dr. Scott Cook: “Finding Peers & Aspirant Institutions using your University’s Strategic Plan”
Avery Campbell, Gavin McIntosh; advisor Dr. Bryant Wyatt: “N-Body Modeling of Supraventricular Tachycardias”
Vianey Rangel, Cody Drolet; advisor Dr. Scott Cook: “Making Unbiased Voting Districts to Pass the ‘Eyeball Test’ Via MCMC Redistricting”
Gavin McIntosh & Avery Campbell; advisor Dr. Bryant Wyatt: “*N-body Art Accelerated on NVIDIA GPUs”

Tarleton graduate students and faculty gave presentations:

Brandon Amerine, Nicholas Petela; advisor Dr. Jesse Crawford: “Understanding Social Determinants of Health Using Machine Learning Algorithms”
Dr. Bryant Wyatt, coauthors Dr. John Gresham, Michael Warren: “A GeoGebra Illustrator for Marden’s Theorem”
Dr. Bryant Wyatt: “Silicon Building Silicon: Dynamic Modeling of Dust Crystal Formations in a Complex Plasma using NVIDIA GPUs”

Dr. Jesse B. Crawford: “Identification of Upcoding in ER Claims using Hierarchical Clustering”

Dr. Eileen Faulkenberry: “Building Learning Communities in STEM”

Dr. Scott Cook: “Evaluating Evaluations: Using Graph Theory to Make Tenure, Promotion, & Annual Evaluations More Fair”