Faculty Directory
Barry Nelson

Walter P. Murphy Professor of Industrial Engineering and Management Sciences

Co-director of Master of Engineering Management Program

Contact

2145 Sheridan Road
Tech M326
Evanston, IL 60208-3109

Email Barry Nelson

Website

Barry Nelson's Homepage


Departments

Industrial Engineering and Management Sciences

Affiliations

Master of Science in Analytics Program


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Education

Ph.D., M.S. Operations Research, Industrial Engineering, Purdue University, West Lafayette, IN

B.A. 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), multivariate and non-stationary input modeling (such as modeling and generation of nonstationary arrival processes), metamodeling, uncertainty quantification (such as input uncertainty and sensitivity analysis) and computer simulation analytics. Special interest in parallel implementation of simulation optimization methods. Application areas include financial engineering, computer performance modeling, quality control, manufacturing systems and transportation systems.


Selected Publications

  • Nelson, Barry L.; Leemis, Lawrence M., The Ease of Fitting but Futility of Testing a Nonstationary Poisson Processes from One Sample Path, Institute of Electrical and Electronics Engineers Inc.:266-276 (2020).
  • Pei, Linda; Nelson, Barry L.; Hunter, Susan R., Evaluation of bi-Pass for Parallel Simulation Optimization, Institute of Electrical and Electronics Engineers Inc.:2960-2971 (2020).
  • Jiang, Guangxin; Hong, L. Jeff; Nelson, Barry L., Online risk monitoring using offline simulation, INFORMS Journal on Computing 32(2):356-375 (2020).
  • Morgan, Lucy E.; Nelson, Barry L; Titman, Andrew C.; Worthington, David J., Detecting bias due to input modelling in computer simulation, European Journal of Operational Research 279(3):869-881 (2019).
  • Lin, Yujing; Nelson, Barry L; Pei, Linda, Virtual statistics in simulation via k nearest neighbors, INFORMS Journal on Computing 31(3):576-592 (2019).
  • Song, Eunhye; Nelson, Barry L., Input–output uncertainty comparisons for discrete optimization via simulation, Operations Research 67(2):562-576 (2019).
  • Salemi, Peter; Staum, Jeremy; Nelson, Barry L., Generalized integrated Brownian fields for simulation metamodeling, Operations Research 67(3):874-891 (2019).
  • Salemi, Peter L.; Song, Eunhye; Nelson, Barry L.; Staum, Jeremy, Gaussian markov random fields for discrete optimization via simulation, Operations Research 67(1):250-266 (2019).
  • Nelson, Barry L; Hunter, Susan R, Parallel Ranking and Selection, Springer International Publishing:249-275 (2018).
  • Song, Eunhye; Nelson, Barry L, Input Model Risk, Springer International Publishing:63-80 (2018).
  • Lin, Yujing; Nelson, Barry L., Variance and derivative estimation of virtual performance, ACM Transactions on Modeling and Computer Simulation 28(3) (2018).
  • Fan, Weiwei; Jeff Hong, L.; Nelson, Barry L., Indifference-zone-free selection of the best, Operations Research 64(6):1499-1514 (2016).
  • Xie, Wei; Nelson, Barry L.; Barton, Russell R., Multivariate input uncertainty in output analysis for stochastic simulation, ACM Transactions on Modeling and Computer Simulation 27(1) (2016).
  • Lee, Soonhui; Nelson, Barry L., General-purpose ranking and selection for computer simulation, IIE Transactions (Institute of Industrial Engineers) 48(6):555-564 (2016).
  • Song, Eunhye; Nelson, Barry L., Quickly Assessing Contributions to Input Uncertainty, IIE Transactions (Institute of Industrial Engineers) 47(9):893-909 (2015).
  • Salemi, Peter; Nelson, Barry L.; Staum, Jeremy, Moving least squares regression for high-dimensional stochastic simulation metamodeling, ACM Transactions on Modeling and Computer Simulation 26(3) (2016).
  • Luo, Jun; Hong, L. Jeff; Nelson, Barry L.; Wu, Yang, Fully sequential procedures for large-scale ranking-and-selection problems in parallel computing environments, Operations Research 63(5):1177-1194 (2015).