I am a software engineer at WeRide. I completed my PhD in Industrial Engineering at the University of Wisconsin-Madison. I was a member of SIDA and have the guidance of Prof. Kaibo Liu. Before that, I received my B.Eng. in Automation at Xi'an Jiaotong University, where I was advised by Prof. Chao-Bo Yan.
For more information about myself and my work, see my curriculum vitae.
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Contact: zzheng92@wisc.edu
Education
Ph.D. Industrial and Systems Engineering, University of Wisconsin-Madison, Sep 2019 – present
M.S. Statistics, University of Wisconsin-Madison, Mar 2023 – present
B.Eng. Automation, Xi’an Jiaotong University, Sep 2015 – Jun 2019
Special Class for the Gifted Young, Xi’an Jiaotong University, Sep 2013 – Jul 2015
Research Interests
Process modeling, monitoring, prognostics, and decision making
Engineering-informed machine learning and AI
Multimodal data analytics and inference
Statistical and computational genomics
Research Applications
Intelligent and connected systems
Smart Manufacturing
Bioinformatics
Publications
Published or Accepted:
Yang, J.*, Zheng, Z.*, ..., Peng, J., Liu, K., Yu, J. Spotiphy enables single-cell spatial whole transcriptomics across the entire section. Nature Methods, accepted. [python package] [code] [manuscript]
Zhang, J., Zheng, Z., Li, J., & Liu, K. Self-starting Monitoring for High-Dimensional Data Under Sampling Control. To be submitted to IEEE Transactions on Automation Science and Engineering.
Zheng, Z., Zhang, J., Xiao, L., & Liu, K. Online Nonparametric Process Monitoring for IoT Systems Using Edge Computing. Submitted to IISE Transactions, under revision.
Zheng, Z., Ye, H., & Liu, K. Online Nonparametric Monitoring for Asynchronous Processes with Serial Correlation. IISE Transactions, in press.
Ye, H., Zheng, Z., Cheng, J. R. C., Hable, B., & Liu, K. (2023). Online Monitoring of High-Dimensional Synchronous and Heterogeneous Data Streams for Shifts in Location and Scale. International Journal of Production Research, in press.
Zheng, Z., Zhao, W., Hable, B., Gong, Y., Wang, X., Shannon, R. W., & Liu, K. (2022). Transfer Learning-Based Independent Component Analysis. IEEE Transactions on Automation Science and Engineering, in press.
Yan, C. B., & Zheng, Z. (2021). An Effective and Efficient Divide-and-conquer Algorithm for Energy Consumption Optimization Problem in Long Bernoulli Serial Lines. International Journal of Production Research, 59(23), 7018-7036.
Song, C., Zheng, Z., & Liu, K. (2021). Building Local Models for Flexible Degradation Modeling and Prognostics. IEEE Transactions on Automation Science and Engineering, 19(4), 3483-3495.
Yan, C. B., & Zheng, Z. (2020). Problem Formulation and Solution Methodology for Energy Consumption Optimization in Bernoulli Serial Lines. IEEE Transactions on Automation Science and Engineering, 18(2), 776-790.
Under Review:
Li, H., Zheng, Z., & Liu, K. Online Monitoring of High-dimensional Partially Observable Data Streams with Statistical Double Dueling Deep Q-network. IEEE Transactions on Automation Science and Engineering, conditionally accpted.
*These authors contributed equally
Teaching Experience
Invited Lecturer, ISyE/ME 612 “Information Sensing, and Analysis for Manufacturing Processes”, Dept. of Industrial and Systems Engineering, University of Wisconsin–Madison, graduate level, Spring 2024
Teaching Assistant, ISyE/ME 412 “Fundamentals of industrial data analytics”, Dept. of Industrial and Systems Engineering, University of Wisconsin–Madison, undergraduate level, Spring 2021, Fall 2021, Spring 2022
Grader, ISyE/ME 512 “Inspection, quality control, and reliability”, Dept. of Industrial and Systems Engineering, University of Wisconsin–Madison, undergraduate level, Fall 2022
Last updated: Dec 26, 2023
