Wei Xie
Assistant Professor,
Mechanical and Industrial Engineering
Contact
- w.xie@northeastern.edu
- 334 SN
360 Huntington Avenue
Boston, MA 02115
Office
- 453 SN
- 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
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
- Advanced FISH Assay and Mechanism Hybrid Surrogate to Improve mRNA Vaccine Potency Assessment and Prediction
- – Principal Investigator, National Institute for Innovation in Manufacturing Biopharmaceuticals
- Advanced Bioprocessing Sensor and Analytical Technologies for Induced Pluripotent Stem Cell Culture Online Monitoring and Automation
- – Principal Investigator, National Institute for Innovation in Manufacturing Biopharmaceuticals
Research Centers and Institutes
Department Research Areas
Selected Publications
- Zheng, Hua, Harcum, Sarah W., Pei, Jinxiang, Xie, Wei (2024). Stochastic biological system-of-systems modelling for iPSC culture. Communications Biology, 7(1). 10.1038/S42003-023-05653-W
- 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
Oct 11, 2024
Tackling AI Bottlenecks in Bioprocessing
MIE Assistant Professor Wei Xie was featured in the Genetic Engineering & Biotechnology News article “Tackling AI Bottlenecks in Bioprocessing.”
Oct 04, 2024
Interoperable AI Biomanufacturing Systems
MIE Assistant Professor Wei Xie, in collaboration with Ohio University and IMPSystems, is leading a $244,235 National Institute of Standards and Technology grant, “Biomanufacturing Modeling and Machine Learning Ontology Platform.” The research will address manufacturing systems integration, interoperability, and standardization development.
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.
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, MIE assistant professor, were published in the journals Communications Biology – Nature and Biotechnology and Bioengineering.
Dec 07, 2023
Optimizing iPSC Manufacturing
MIE Assistant Professor Wei Xie was featured in the Genetic Engineering & Biotechnology News article “Optimizing iPSC Manufacturing.”
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.”
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 […]
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.”
Mar 09, 2023
Xie Awarded NIIMBL Grant for mRNA Vaccine Potency Assessment and Prediction
Wei Xie, MIE assistant professor, 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.”
Jan 24, 2023
Faculty and Staff Awards 2023
Faculty and staff in the College of Engineering were recognized at the annual awards event in a variety of categories for their contributions during the 2022-2023 academic year.