Wei Xie

Assistant Professor, Mechanical and Industrial Engineering

Contact

w.xie@northeastern.edu
334 SN
360 Huntington Avenue
Boston, MA 02115

Office

328 DA
617.373.6917

Research Focus

interpretable AI, IoT, computer simulation, data integrity and big data analytics, data-driven stochastic optimization, blockchain design and development for complex end-to-end cyber-physical system learning and risk management with applications, including biopharmaceutical manufacturing and supply chains, smart power grids with renewable energy, and health care

Education

PhD, Northwestern University, Industrial Engineering and Management Sciences, 2014

Professional Affiliations

Technical Activity Committee (TAC) for The National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL)
Institute for Operations Research and The Management Sciences (INFORMS)
Transportation Research Board

Research Overview

College Research Initiatives

COVID-19

Department Research Areas

Selected Publications

W. Xie, P. Zhang, R. Chen, Z. Zhou (2018). A Nonparametric Bayesian Framework for Short-Term Wind Power Probabilistic Forecast, accepted by IEEE Transactions on Power Systems.
W. Xie, C. Li, P. Zhang (2018). A Bayesian Nonparametric Hierarchical Framework for Uncertainty Quantification in Simulation, submitted.
Yi, Y., W. Xie (2018). A Metamodel-Assisted Framework for Two-Stage Optimization with Stochastic Simulation, submitted.
W. Xie, B. Wang, Q. Zhang (2018). Metamodel-Assisted Risk Analysis for Stochastic Simulation with Input Uncertainty, Proceedings of the 2018 Winter Simulation Conference.
W. Xie, P. Zhang, I. Ryzhov (2018), A Simulation-Based Prediction Framework for Stochastic System Dynamic Risk Management, Proceedings of the 2018 Winter Simulation Conference.
Y. Yi, W. Xie, Z. Zhou (2018), Simulation-based Stochastic Programming to Guide Real-Time Scheduling for Smart Power Grids under Cyberattacks, Proceedings of the 2018 Winter Simulation Conference.
W. Xie, C. Li, P. Zhang (2017), A Factor-Based Bayesian Framework for Risk Analysis in Large-Scale Stochastic Simulations, ACM Transactions on Modeling and Computer Simulation, 27(4), 1-31
Y. Yi, W. Xie (2017), An Efficient Budget Allocation Approach for Quantifying the Impact of Input Uncertainty in Stochastic Simulation, ACM Transactions on Modeling and Computer Simulation, 27(4), 25
W. Xie, P. Zhang, Q. Zhang (2017). A Stochastic Simulation Calibration for Real-Time System Control. Proceedings of the 2017 Winter Simulation Conference.
Wang, B, Q. Zhang, W. Xie (2017). Bayesian Sequential Calibration Using Detailed Sample Paths, Proceedings of the 2017 Winter Simulation Conference.
W. Xie, B.L. Nelson, R.R. Barton (2016). Multivariate Input Uncertainty in Output Analysis for Stochastic Simulation, ACM Transactions on Modeling and Computer Simulation, 27(5), 1-22.
W. Xie, Y. Yi (2016). A Simulation-Based Prediction Framework for Two-Stage Dynamic Decision Making, Proceedings of the 2016 Winter Simulation Conference.
W. Xie, C. Li, H. Sun (2015). Quantification Input Uncertainty for Dependent Input Models with Factor Structure. Proceedings of the 2015 Winter Simulation Conference.
E. Zhou, W. Xie (2015). Simulation Optimization when Facing Input Uncertainty. Proceedings of the 2015 Winter Simulation Conference.
Y. Yi, W. Xie, E. Zhou (2015). A Sequential Experiment Design for Input Uncertainty Quantification in Stochastic Simulation. Proceedings of the 2015 Winter Simulation Conference.
W. Xie, B.L. Nelson, R.R. Barton (2014). A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation. Operations Research, Vol. 62, No. 6, pp. 1439-1452.
Barton, R.R., B.L. Nelson, W. Xie (2014). Quantifying Input Uncertainty via Simulation Confidence Intervals. INFORMS Journal on Computing, Vol. 26, No.1, pp.74-87.
W. Xie, B.L. Nelson, R.R. Barton (2014). Statistical Uncertainty Analysis for Stochastic Simulation with Dependent Input Models. Proceedings of the 2014 Winter Simulation Conference.
W. Xie, B.L. Nelson, J. Staum (2010). The Influence of Correlation Functions on Stochastic Kriging Metamodels. Proceedings of the 2010 Winter Simulation Conference.