Academics

Affiliate engineering professor earns outstanding publication award

Russell Barton, an affiliate faculty member in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at Penn State, was recently awarded the Institute for Operations Research and the Management Sciences Simulation Society Outstanding Publication Award. Credit: Penn StateCreative Commons

UNIVERSITY PARK, Pa. — Russell Barton, professor of supply chain and information systems, senior associate dean for research and faculty in the Smeal College of Business, and an affiliate faculty member in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, was recently awarded the Institute for Operations Research and the Management Sciences (INFORMS) Simulation Society Outstanding Publication Award.

Barton, along with Barry Nelson, Walter P. Murphy Professor of Industrial Engineering and Management Sciences at Northwestern University, and Wei Xie, assistant professor of industrial and systems engineering at Rensselaer Polytechnic Institute, were presented with the INFORMS award for their following two publications:

  • Barton, Russell R., Nelson, Barry L., and Xie, Wei (2014). “Quantifying Input Uncertainty via Simulation Confidence Intervals,” INFORMS Journal on Computing 26(1): 74-87.
  • Xie, Wei, Nelson, Barry L., and Barton, Russell R. (2014). “A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation,” Operations Research 62(6): 1439-1452.

Barton, who is also the associate director of the Center for the Management of Technological and Organizational Change at Penn State, joined the Smeal faculty in 2002 after 11 years in the Marcus department where he taught undergraduate courses in optimization, statistics and concurrent engineering, and graduate courses in simulation-based design and the design of experiments.

Barton’s research interests include Web application security, graphical methods for experiment design, design of experiments and metamodeling methods applied to simulation models, and statistical models of product and process behavior.

Last Updated January 28, 2016

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