Dr. Easton performs research in discrete optimization with an emphasis in integer programming and graph theory. His current research in integer programming focuses on finding improved techniques to solve integer programs. In particular, he has developed fast techniques to perform exact simultaneous uplifting for sets of binary variables. His graph theory research develops algorithms and heuristics to solve computationally challenging programs. Lately, he has been modeling and optimizing the response to the spread of an epidemic in rural Kansas. Dr. Easton joined the faculty in 2001. Research area: Operations Research
Ph.D., Georgia Institute of Technology, 1999
M.S., Stanford University, 1994
B.S., Brigham Young University, 1993
Honors and Awards
IMSE Department Outstanding Teacher of the Year, 2005, 2006, 2007, 2008, 2009.
James L. Hollis Memorial Award for Excellence in Undergraduate Teaching, 2008-2009.
Clair A. Mauch Steel Ring Advisor of the Year, 2008-2009.
“SGER: Exploratory Research on Complex Network Approach to Epidemic Spreading in Rural Regions.” National Science Foundation, Co-Pl, $50,001, 09/08-08/09, SES-084112.
IMSE 643 Industrial Simulation
IMSE 882 Network Flows and Graph Theory (Spring odd years)
Integer programming and graph theory
Institute for Operations Research and the Management Sciences
Alpha Pi Mu
Scoglio, C., Schumm, W., Schumm, P., Youssef, M., Sydney, A., Chowdhury, S.R., & Easton, T. (2010). Efficient mitigation strategies to control epidemics in rural regions. PLoSOne, 5(7). doi:10.1371/journal.pone.0011569
Easton, T. (2009). Dieting as an O.R. problem: How to minimize misery while maximizing weight loss. OR/MS Today, 36(6), 34-36.
Ben-Arieh, D., Easton, T., & Evans, B. (2009). Minimum costs consensus with quadratic cost functions. IEEE Transactions on Systems, Man and Cybernetics Part A: Systems and Humans, 39(1), 210-217.
Easton, T. (2009). The When Diet: Mathematically Optimizing Eating and Exercise for Weight Loss. Ithaca, NY: Ithaca Press.