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Papers accepted at IFAC 2020 World Congress

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 of Nonlinear Model Predictive Control
  • [3] Reinforcement Learning based Design of Linear Fixed Structure Controllers
  • [4] Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem

We are also organizing a tutorial on data analytics.

DAIS Lab News


30 April 2020
Recognition for most downloaded paper - Spielberg et al. (2019)
Our recent paper on RL, Toward self‚Äźdriving 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.

16 April 2020
Nathan receives NSERC CGS D scholarship
Nathan received the prestigious NSERC CGS D scholarship. He was ranked 5th among 107 applicants in his committee.

14 April 2020
ACS IECR paper accepted
Our paper on alarm analytics has been recently accepted in ACS IECR

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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