6 papers accepted to IFAC World Congress 2023

19 April 2023

Congratulations to UBC DAIS Lab students and collaborators for their new papers in the IFAC World Congress 2023!

Conference Proceedings
Interpretable Soft Sensors using Extremely Randomized Trees and SHAP
Liang Cao, Xiaolu Ji, Yankai Cao, Yupeng Li, Lim C. Siang, Jin Li, Vijay Kumar Pediredla, R. Bhushan Gopaluni
In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Slides] [Video]

Conference Proceedings
Data Quality Over Quantity: Pitfalls and Guidelines for Process Analytics
Lim C. Siang, Shams Elnawawi, Lee D. Rippon, Daniel L. O’Connor, R. Bhushan Gopaluni
In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Slides] [Video] [arXiv]

Conference Proceedings
A modular framework for stabilizing deep reinforcement learning control
Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Slides] [Video] [arXiv]

Conference Proceedings
Reinforcement Learning with Partial Parametric Model Knowledge
Shuyuan Wang, Philip D. Loewen, Nathan P. Lawrence, Michael G. Forbes, R. Bhushan Gopaluni
In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Video] [arXiv]

Conference Proceedings
Neural network and Sparse Identification of Nonlinear Dynamics Integrated Algorithm for Digital Twin Identification
Jingyi Wang, Jesús Moreira, Yankai Cao, R. Bhushan Gopaluni
In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Slides] [Video]

6 papers accepted to IFAC World Congress 2023

Bhushan Gopaluni

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Vice-Provost & Associate Vice-President, Faculty Planning

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