6 citations · 13 across the 13 of their papers we have counts for
13 papers
Adaptive Fast-Slow Operator Splitting for Multiscale Biochemical Stochastic Dynamics
Yuming Zeng, Wei Xie, Keqi Wang
Stochastic reaction networks governed by Chemical Langevin Equations (CLE) exhibit pronounced multiscale dynamics spanning fast molecular reactions, intermediate transport, and slo…
Intracellular Measurement-Informed Multiscale Modeling for Scalable iPSC Manufacturing
Fuqiang Cheng, Zahra Foroozan Jahromi, Keqi Wang +10
Scalable manufacturing of human induced pluripotent stem cells (iPSCs) is essential for industrial-scale production of cell therapies and regenerative medicines. However, the 3D ag…
A Modular Mechanistic In Silico Model for In Vitro Transcription Process Yield and Product Quality Prediction
Keqi Wang, Keilung Choy, Eli Reiser +10
In vitro transcription (IVT) plays a critical role in the manufacture of mRNA vaccines and therapeutics. Optimizing mRNA yield and ensuring product quality, such as capping efficie…
A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example
Keilung Choy, Wei Xie, Keqi Wang
Bioprocess mechanistic modeling is essential for advancing intelligent digital twin representation of biomanufacturing, yet challenges persist due to complex intracellular regulati…
Multi-Scale Hybrid Modeling to Predict Cell Culture Process with Metabolic Phase Transitions
Keqi Wang, Sarah W. Harcum, Wei Xie
To advance understanding of cellular metabolism and reduce batch-to-batch variability in cell culture processes, this study introduces a multi-scale hybrid modeling framework desig…
Stochastic Molecular Reaction Queueing Network Modeling for In Vitro Transcription Process
Keqi Wang, Wei Xie, Hua Zheng
To facilitate a rapid response to pandemic threats, this paper focuses on developing a mechanistic simulation model for in vitro transcription (IVT) process, a crucial step in mRNA…
Metabolic Regulatory Network Kinetic Modeling with Multiple Isotopic Tracers for iPSCs
Keqi Wang, Wei Xie, Sarah W. Harcum
The rapidly expanding market for regenerative medicines and cell therapies highlights the need to advance the understanding of cellular metabolisms and improve the prediction of cu…
Sequential Importance Sampling for Hybrid Model Bayesian Inference to Support Bioprocess Mechanism Learning and Robust Control
Wei Xie, Keqi Wang, Hua Zheng +1
Driven by the critical needs of biomanufacturing 4.0, we introduce a probabilistic knowledge graph hybrid model characterizing the risk- and science-based understanding of bioproce…
Stochastic Simulation Uncertainty Analysis to Accelerate Flexible Biomanufacturing Process Development
Wei Xie, Russell R. Barton, Barry L. Nelson +1
Motivated by critical challenges and needs from biopharmaceuticals manufacturing, we propose a general metamodel-assisted stochastic simulation uncertainty analysis framework to ac…
Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Control
Hua Zheng, Wei Xie, Keqi Wang +1
Driven by the key challenges of cell therapy manufacturing, including high complexity, high uncertainty, and very limited process observations, we propose a hybrid model-based rein…
Blockchain-Enabled Internet-of-Things Platform for End-to-End Industrial Hemp Supply Chain
Keqi Wang, Wei Xie, Wencen Wu +2
After being legalized as an agricultural commodity by the 2018 U.S. Farm Bill, the Industrial Hemp production is moved from limited pilot programs to a regulated agriculture produc…
Simulation-Based Digital Twin Development for Blockchain Enabled End-to-End Industrial Hemp Supply Chain Risk Management
Keqi Wang, Wei Xie, Wencen Wu +4
With the passage of the 2018 U.S. Farm Bill, Industrial Hemp production is moved from limited pilot programs to a regulated agriculture production system. However, Industrial Hemp…
Data-Driven Stochastic Optimization for Power Grids Scheduling under High Wind Penetration
Wei Xie, Yuan Yi, Zhi Zhou +1
To address the environmental concern and improve the economic efficiency, the wind power is rapidly integrated into smart grids. However, the inherent uncertainty of wind energy ra…