Wei Xie

Assistant Professor,  Mechanical and Industrial Engineering

Contact

Office

  • 453 SN
  • 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

Honors & Awards

  • 2023 Constantinos Mavroidis Translational Research Faculty Award
  • Outstanding Publication Award from the INFORMS Simulation Society

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 Research Projects

Department Research Areas

Selected Publications

  • H. Zheng, W. Xie, B. Feng, Green Simulation Assisted Reinforcement Learning with Model Risk for Biomanufacturing Learning and Control, Winter Simulation Conference, 2020
  • K. Wang, W. Xie, W. Wu, B. Wang, J. Pei, M. Baker, Q. Zhou Simulation-Based Digital Twin Development for Blockchain Enabled End-to-End Industrial Hemp Supply Chain Risk Management, Winter Simulation Conference, 2020
  • W. Xie, P. Zhang, R. Chen, Z. Zhou, A Nonparametric Bayesian Framework for Short-Term Wind Power Probabilistic Forecast, IEEE Transactions on Power Systems, 34(1), 2019
  • B. Wang, Q. Zhang, W. Xie, Bayesian Sequential Data Collection for Stochastic Simulation Calibration Using Detailed Sample Paths, European Journal of Operational Research, 227(1), 2019, 300-316
  • W. Xie, P. Zhang, R. Chen, Z. Zhou, A Nonparametric Bayesian Framework for Short-Term Wind Power Probabilistic Forecast, IEEE Transactions on Power Systems, 2018, 1-1
  • W. Xie, P. Zhang, I. Ryzhov, A Simulation-Based Prediction Framework for Stochastic System Dynamic Risk Management, Winter Simulation Conference, 2018
  • W. Xie, B. Wang, Q. Zhang, Metamodel-Assisted Risk Analysis for Stochastic Simulation with Input Uncertainty, Winter Simulation Conference, 2018
  • W. Xie, C. Li, P. Zhang, A Factor-Based Bayesian Framework for Risk Analysis in Large-Scale Stochastic Simulations, ACM Transactions on Modeling and Computer Simulation, 27(4), 2017, 1-31

Faculty

Apr 04, 2024

Northeastern Research Study Shows the Potential of AI for Stem Cell Manufacturing

MIE Assistant Professor Wei Xie, the primary investigator for a Northeastern research study on bio-drug automation and manufacturing, explains the part that AI can play in successful cell cultivation. Two papers recently published by Xie and her co-authors propose models for predicting mechanisms in both singular cells and clusters of cells.

Wei Xie

Faculty

Jan 09, 2024

Research To Optimize Large-Scale iPSC Manufacturing

Two papers titled “Stochastic Biological System-of-Systems Modelling for iPSC Culture” and “Metabolic Regulatory Network Kinetic Modeling with Multiple Isotopic Tracers for iPSCs” led by Wei Xie, assistant professor of mechanical and industrial engineering, were published in the journals Communications Biology – Nature and Biotechnology and Bioengineering. Xie’s research on bioprocess modeling and AI/ML can facilitate large-scale […]

Wei Xie

In the Media

Dec 07, 2023

Optimizing iPSC Manufacturing

MIE Assistant Professor Wei Xie was featured in the Genetic Engineering & Biotechnology News article “Optimizing iPSC Manufacturing.”

Wei Xie

Faculty

Jul 05, 2023

Hybrid Model for RNA Bioprocessing

MIE Assistant Professor Wei Xie was featured in the Genetic Engineering & Biotechnology News article “Hybrid Model for RNA Bioprocessing.”

Wei Xie

In the Media

Apr 06, 2023

Avoiding Errors by Thoroughly Understanding Bioprocess Mechanisms

MIE Assistant Professor Wei Xie’s research study on biomanufacturing process hybrid modeling, digital twin, and machine learning was featured in the Genetic Engineering & Biotechnology News article “Avoiding Errors by Thoroughly Understanding Bioprocess Mechanisms.”

Wei Xie

Faculty

Apr 06, 2023

Modeling Uncertainty in Process Development

MIE Assistant Professor Wei Xie’s research on uncertainty analysis was featured in the Genetic Engineering & Biotechnology News article “Modeling Uncertainty in Process Development.”

Faculty

Mar 09, 2023

Xie Awarded NIIMBL Grant for mRNA Vaccine Potency Assessment and Prediction

Wei Xie, assistant professor of mechanical and industrial engineering, has received an award from the National Institute for Innovation in Manufacturing Biopharmaceuticals for “Advanced FISH Assay and Mechanism Hybrid Surrogate to Improve mRNA Vaccine Potency Assessment and Prediction.”

Faculty

Jan 24, 2023

Faculty and Staff Awards 2023

Congratulations to all the winners of the faculty and staff awards, and to everyone for their hard work and dedication during the 2022-2023 academic school year. COE Distinguished Faculty Award Yun Raymond Fu, ECE Auroop Ganguly, CEE Luke Landherr, ChE Sinan Müftü, MIE Mark Niedre, BioE Alison Nogueira, Co-op Nian Sun, ECE Constantinos Mavroidis Translational […]

Wei Xie

Faculty

Aug 29, 2022

Xie Awarded $2 Million NIIMBL Stem Cell Research Grant

MIE Assistant Professor Wei Xie received a $2M award from the National Institute for Innovation in Manufacturing Biopharmaceuticals, for the project “Advanced Bioprocessing Sensor and Analytical Technologies for Induced Pluripotent Stem Cell Culture Online Monitoring and Automation.”

abstract photo of women doctor pointing to tablet with medical imagery around it

Faculty

May 11, 2021

Just What the Doctor Ordered

Human beings are some of the most complex systems in the world, and responses to illness, disease, and impairments manifest in countless different ways. When it comes to making sure that your system stays up and running, healthcare professionals typically have their own deep well of knowledge—but the addition of artificial intelligence tools offers unprecedented […]

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