Student Research Week

2017

• Andrew Armstrong, Asaf Drizlikh, Steven Broll, & Xin Su.
  Predictive Models using Discriminant Analysis on the MLB Baseball Hall of Fame.
• Kevin Chou. Predictive Analysis with the Million Song Dataset.
• Kevin Michael Matthews Jr..
  Representations of the Hecke Group G(2) from Fermionic Modular Categories.
• Bethany Grace Patterson.
  Predicting Serial Murder.
• Devyn Chae Rice & Cassidy Caldwell.
  Experiences of Teachers and Students in STEM Summer Camp.
• Meghan Shanks.
  Computing Central Values for Elliptic Curve L-Functions.
• Thomas Edward Settlemyre & Joseph Merritt.
  Soft wall: a model of Casimir interaction between a quantum field and a conducting boundary.
• Renee Swischuk.
  A Machine Learning Approach to Pitot-Static Error Detection and Correction.
• Sicheng Wang.
  Novel Breast Cancer Screening Modality: A Simulation Study.
• Christian Williams.
  The Heteromorphism in Category Theory.

2016

• Sebastian Arenas & Marc Lewenthal.
  Metrology And Object Detection Using Compressive Sensing.
• Angel Castillo.
  Convergence Preserving Permutations and Divergent Fourier Series.
• Eric Cochrane.
  A Novel Continuum Manipulator.
• Yaqi Dai.
  Relative monotonicity of secular determinants of quantum graphs.
• Larry Harris.
  Monoid Manipulation.
• Jacob Hartzer.
  Computing Factorizations in Arithmetical Congruence Monoids.
• Zander Kelley.
  Roots of Sparse Polynomials over a Finite Field.

2015

• Nathan LaFerney & Carlos Munoz.
  An Application of Compressive Sensing to Image and Video Compression.
• Andrew S. Nemec.
  Monomial Solutions to Generalized Yang-Baxter Equations in Low Dimensions.

2014

• Andrew Zane Castillo.
  Geodesic Equivalence in sub-Riemannian Geometry.
• Jordan Cazamias.
  Exploring Shape Grammar Induction as a Tool for Automated Design.
• Will Linz.
  An Extension of Classical Mathematical Derangements.
• Kyle Williams.
  Time Stepping Methods in the Kurimoto-Sivashinsy Equation.