Nathan’s paper on “Almost Surely Stable Deep Dynamics” has been accepted at NeurIPS 2020 and selected as a Spotlight session. Congratulations! At NeurIPS 2020, 385 papers out of 1900 were...

Lee Rippon receives a Best Presentation Award for his talk on “Process Analytics and Machine Learning to Predict Arc Loss in an Electric Arc Furnace” at the 3rd BC Universities...

Liang Cao’s paper has been accepted by Control Engineering Practice. Congratulations! Data-driven Dynamic Inferential Sensors Based on Causality Analysis by Liang Cao, Feng Yu, Fan Yang, Yankai Cao, R. Bhushan...

Hui Tian’s (PhD, ‘20) paper has been published in Computers & Chemical Engineering. Congratulations! A Tractable Approximation for Stochastic MPC and Application to Mechanical Pulping Processes by H Tian, J...

Qiugang Lu (PhD, ‘18), currently postdoc at Zavala Lab, UW-Madison, will begin a tenure track position at Texas Tech University in September 2020. Congratulations!

Our recent paper on RL, Toward self‐driving processes: A deep reinforcement learning approach to control - Spielberg et al. (2019), has been recognized as “among the top 10% most downloaded...

COVID-19 has disrupted our lives in unprecedented ways. Our research group is trying to estimate the extent of its prevalence in the society, quantify its infectiousness, model its spread and...

Yiting passed his candidacy exam with flying colors. Congratulations!

Nathan received the prestigious NSERC CGS D scholarship. He was ranked 5th among 107 applicants in his committee. This is a tremendous achievement. Congratulations, Nathan! We are proud of you....

Our new paper has been recently accepted in Industrial & Engineering Chemistry Research. A Novel Approach to Alarm Causality Analysis Using Active Dynamic Transfer Entropy by Yi Luo, Bhushan Gopaluni,...

Hui successfully defended her PhD thesis today on Stochastic multi-objective economic model predictive control of two-stage high consistency mechanical pulping processes. Read more about her work here Congratulations!

Four of our papers were accepted for presentation at the 2020 IFAC World Congress. [1] Modern Machine Learning Tools for Monitoring and Control A Survey [2] Deep Neural Network Approximation...

Prof. Thornhill from Imperial College London visits UBC and delivers a CHBE Distinguished Speaker Seminar on Process Data Analytics. Members of the DAIS lab met Prof. Thornhill to share and...

Yi will be going back to the Beijing Institute of Chemical Technology. Best wishes!

Dr. Gopaluni and Dr. Verrett have been nominated as Applied Science OER champions for the development of open chemical engineering resources. Big thanks to DAIS members and students involved in...

Yiting’s paper on bioreactor performance prediction has been published in Processes. Congrats! MDPI Paper Link: https://www.mdpi.com/2227-9717/7/9/614

A project in collaboration with Dr. Piret and Dr. Levings on Bioprocess engineering for therapeutic T-cell manufacturing has received federal Collaborative Health Research Projects (CHRP) funding worth over $600k. See...

We are looking for a Post Doctoral Fellow to work on an exciting industrial project at the intersection of Control Theory and Machine Learning. For details see: NewPostDocResearchML.pdf Applications are...

DAIS Lab members set to present at ADCHEM 2018. For more information, visit the DAIS ADCHEM page. See workshop page: https://dais.chbe.ubc.ca/adchem/

Lee Rippon received the prestigious Killam Doctoral Scholarship. Congratulations!