DAIS Lab > Resources

Title Author(s) Date Download
Predicting Quality relevant Variables in Industrial Process via Causality Analysis Liang Cao 14 February 2020 lc021420.pdf
Deep Reinforcement Learning Based Maintenance Free Control Nathan Lawrence 14 February 2020 nl021420.pdf
ADCHEM 2018 Workshop DAIS Lab 24 July 2018 -
Highlights - 26 April 2020
We are working on a COVID-19 project. Check it out here.
LINK

News

27 June 2020
New paper in Computers & Chemical Engineering
Hui's paper on "A Tractable Approximation for Stochastic MPC and Application to Mechanical Pulping Processes" has been published in Computers & Chemical Engineering

14 June 2020
Qiugang Lu starting tenure track position at Texas Tech University
Qiugang Lu (PhD, '18) will begin a tenure track position at Texas Tech University in September 2020. Congratulations!

30 April 2020
Recognition for most downloaded paper - Spielberg et al. (2019)
Our recent paper on RL, Toward self‐driving processes A deep reinforcement learning approach to control has received recognition in AIChE Journal

26 April 2020
COVID-19 project website launched
Our research group is trying to estimate the extent of COVID-19 prevalence in the society, quantify its infectiousness, model its spread and develop optimal mitigation policies.

17 April 2020
Yiting passes PhD candidacy exam
Yiting passed his candidacy exam with flying colors.


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Recruitment

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