Highlights - 25 September 2020
Nathan's paper on 'Almost Surely Stable Deep Dynamics' has been accepted as a NeurIPS 2020 Spotlight session. Congratulations!
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.
DAIS Lab Publications