UBC Data Analytics and Intelligent Systems Lab
Transforming industrial processes through AI, machine learning, and advanced control.
Welcome to the UBC DAIS Lab
Prof. Bhushan Gopaluni leads research activities at the UBC DAIS Lab. He is a Professor in the Department of Chemical and Biological Engineering and Vice-Provost and Associate Vice-President, Faculty Planning at UBC Vancouver. Read More.
Research Themes
We develop AI and machine learning methods for industrial process control — from theory and algorithms to deployment with industry partners.
Deep reinforcement learning, meta-RL, and model predictive control that adapt to changing process conditions without manual retuning.
Large-scale dynamic models and hybrid physics-ML models for simulation, optimization, and control of complex industrial processes.
Anomaly detection, root cause analysis, and interpretable ML for diagnosing faults in complex industrial systems.
Soft sensors, forecasting models, and visualization tools for reliable predictions from large-scale industrial data.
Featured Research
Our Team
DAIS brings together PhD students, postdocs, and visiting researchers working at the intersection of machine learning and process engineering. Our alumni hold positions at UC Berkeley, Oxford, and leading companies worldwide.
Collaborations
Our research is informed by real-world problems across the process industries.
Latest News
DAIS Lab Recruitment
We recruit year-round for postdocs, MASc and PhD students, visiting students and undergraduate students. Please see our Opportunities page for more information.