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EXPLORE NORTHEASTERN

Wei Xie

Assistant Professor,  Mechanical and Industrial Engineering

Contact

Office

  • 617.373.2740

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Research Focus

Computer simulation, data integrity and analytics, data-driven stochastic optimization for end-to-end cyber-physical-system risk management with applications, including global biopharmaceutical manufacturing supply chains, smart power grids with renewable energy, healthcare, and smart transportation infrastructure.

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

Computer simulation, data integrity and analytics, data-driven stochastic optimization for end-to-end cyber-physical-system risk management with applications, including global biopharmaceutical manufacturing supply chains, smart power grids with renewable energy, healthcare, and smart transportation infrastructure.

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.

Faculty

Aug 30, 2018

New Faculty Spotlight: Wei Xie

Wei Xie joins the Mechanical & Industrial Engineering department in August 2018 as an Assistant Professor.

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