Faculty Directory
Barry Nelson

Walter P. Murphy Professor Emeritus of Industrial Engineering and Management Sciences

Contact

2145 Sheridan Road
Tech C150
Evanston, IL 60208-3109

Email Barry Nelson

Website

Barry Nelson's Homepage


Departments

Industrial Engineering and Management Sciences

Affiliations

Master of Science in Machine Learning and Data Science Program

Education

PhD, MS Operations Research, Industrial Engineering, Purdue University, West Lafayette, IN

BA Mathematics and Computer Science, DePauw University, Greencastle, IN


Research Interests

The design and analysis of computer simulation experiments, particularly issues of statistical efficiency such as variance-reduction techniques, multivariate output analysis such as multiple-comparison procedures and simulation optimization, model risk such as uncertainty quantification due to input modeling, input modeling such as modeling and generation of nonstationary arrival processes and frequentist model averaging, metamodeling such as stochastic kriging and simulation analytics such as virtual statistics. Application areas include financial engineering, computer  performance modeling, quality control, manufacturing and transportation systems.



Selected Publications

G. Keslin, B. L. Nelson, B Pagnoncelli, M. Plumlee and H.  Rahimian, “Ranking and Contextual Selection,”Operations Research (2024), Articles in Advance.

H. Avci, B. L. Nelson, E. Song and A. Waechter, "Using Cache or Credit for Parallel Ranking and Selection,"ACM Transactions on Modeling and Computer Simulation 33 (2023), 12:1-28.

L. Pei, B. L. Nelson and S. R. Hunter, "Parallel Adaptive Survivor Selection,"Operations Research 72 (2024), 336-354.

D. J. Eckman, M. Plumlee and B. L. Nelson, "Plausible Screening Using Functional Properties for Simulations with Large Solution Spaces,"Operations Research 70 (2022), 3473-3499.

P. Salemi, E. Song, B. L. Nelson and J. Staum, "Gaussian Markov Random Fields for Discrete Optimization via Simulation: Framework and Algorithms,"Operations Research 67 (2019), 250-266.