Our group is recruiting year-round for postdocs, MASc and PhD students, visiting students and undergraduate students. Please see our Opportunities page for more information.
The DAIS Lab at the University of British Columbia (UBC) conducts research at the intersection of process control, data analytics and machine learning.
On the applied research side, we develop novel algorithms and computational tools to solve industrial process control problems. We also explore fundamental problems in control theory and machine learning for theoretical insights.
We are interested in the development of smart plants and intelligent processes, which can be distinguished from traditional industrial plants by:
Please see our publications list for more information on our past projects on:
A big subset of our research projects have an applied flavour with useful and immediate applications in industry. We often collaborate with industry partners and other academic researchers for problem-solving in specific domains.
Our current and past projects include collaborations with: