Expertise

Easton performs theoretical research to help decrease computational effort required to solve computationally challenging problems. Additionally, he develops optimization models to create excellent solutions to a variety of problems including disease spread, green energy, manufacturing and logistics. He also performs research in methods to improve teaching and student learning. 

Dr. Easton's research interest includes integer programming, graph theory, continuous and discrete optimization, and effective teaching techniques.

Research

  • Optimization Research
  • Educational Research

 

 

Communities
Industrial Engineering, Manufacturing Engineering
Degrees
PhD, Georgia Institute of Technology, Industrial and Systems Engineering, 1999
MS, Stanford University, Operations Research, 1994
BS, Brigham Young University, Mathematics, 1993