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Jingyi Wang
Jingyi Wang is a Ph.D. student studying Chemical and Biological Engineering (CHBE) at UBC. She received her bachelor's degree and master's degree in Chemical Engineering/Process Control from the University of Alberta in Canada. Her previous research includes sensor fusion, soft sensor, and artificial neural networks. Her current research interest includes combining traditional control methods with machine learning techniques to improve algorithm performance.
📚 Program/Degree
PhD
| Started 2020
📝 Research
Sensor Fusion and Soft Sensor Design with Utilization of Machine Learning Techniques for the Process Industry
DAIS Lab Publications
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Conference Proceedings
Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics
In Proceedings of the 2022 American Control Conference (ACC). 2022 [PDF] -
Conference Proceedings
Neural network and Sparse Identification of Nonlinear Dynamics Integrated Algorithm for Digital Twin Identification
In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Slides] [Video] -
Journal Paper
Simultaneous Digital Twin Identification and Signal-Noise Decomposition through Modified Generalized Sparse Identification of Nonlinear Dynamics
Computers and Chemical Engineering. 2023 [PDF]
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