Conveners
INVITED Statistics & Artificial Intelligence
- Marco P. Seabra dos Reis (Department of Chemical Engineering, University of Coimbra)
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Dr Bart De Ketelaere (Catholic University of Leuven)12/09/2023, 14:45Other/special session/invited session
In the previous century, statisticians played the most central role in the field of data analysis, which was primarily focused on analyzing structured data, often stored in relational databases. Statistical techniques were commonly employed to extract insights from these data. The last few decennia have marked a substantial change in the way data are generated, used and analyzed. The term data...
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Ricardo Rendall (Dow)12/09/2023, 15:15Other/special session/invited session
Hybrid modeling is a class of methods that combines physics-based and data-driven models to achieve improved prediction performance, robustness, and explainability. It has attracted a significant amount of research and interest due to the increasing data availability and more powerful analytics and statistical methodologies (von Stosch et al., 2014; Sansana et al., 2021). In the context of the...
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Tiago Rato (University of Coimbra)12/09/2023, 15:45Modelling
The latent variable framework is the base for the most widespread methods for monitoring large-scale industrial processes. Their prevalence arises from the robustness and stability of their algorithms and a well-established and mature body of knowledge. A critical aspect of these methods lies in the modeling of the dynamics of the system, which can be incorporated in two distinct ways:...
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