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
Related Links
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
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
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.

Aug 30, 2018
New Faculty Spotlight: Wei Xie
Wei Xie joins the Mechanical & Industrial Engineering department in August 2018 as an Assistant Professor.