Liang Cao

Liang Cao

Liang Cao is a Ph.D. student studying Chemical and Biological Engineering (CHBE) at UBC. He received his BASc and MASc in Automation/Control Engineering from Beijing University of Chemical and Technology in China. He also is a joint master student at the University of Duisburg-Essen (Germany) and a research assistant at Tsinghua University (China). His previous research includes diagnosis and compensation of multiple channel faults in one-dimension systems and two-dimension systems. His current Ph.D. research interests focus on applying machine learning techniques to historical refinery process data to build inferential sensors, extract causality, and mine sequence patterns.

📚 Program/Degree
PhD, since 2019
📝 Research
Soft Sensor Design and Causality Extraction in Industrial Processes
👥 Co-supervisor(s)
Yankai Cao (CHBE)
📨 Contact

DAIS Lab Publications

  1. Journal Paper
    Data-driven Dynamic Inferential Sensors Based on Causality Analysis
    Liang Cao, Feng Yu, Fan Yang, Yankai Cao, R. Bhushan Gopaluni
    Control Engineering Practice. 2020 [PDF]
  2. Journal Paper
    A Novel Approach to Alarm Causality Analysis Using Active Dynamic Transfer Entropy
    Yi Luo, R. Bhushan Gopaluni, Yuan Xu, Liang Cao, Qun-Xiong Zhu
    Industrial & Engineering Chemistry Research. 2020 [PDF]

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Our group is recruiting year-round for postdocs, MASc and PhD students, visiting students and undergraduate students.

All admitted students will receive a stipend.

If you're interested in pursuing research or graduate studies, please email a copy of your

(1) CV, and
(2) Research Statement