Work package 2 - USP Model & Control
In this work package, we develop methodologies for modeling, control and optimization of perfusion processes.
We combine cutting edge machine learning techniques with domain knowledge and heterogeneous data sources such as metabolite concentrations and transcriptomics for high fidelity modeling. The models form the backbone for robust optimization and control algorithms developed for medium optimization and process control.
Academic Team
Prof. Håkan Hjalmarsson (PI), Division of Decision and Control Systems, KTH
Prof. Elling Jacobsen (PI), Division of Decision and Control Systems, KTH
Dr Kévin Colin (postdoc), Division of Decision and Control Systems, KTH
Dr Mirko Pasquini (postdoc), Division of Decision and Control Systems, KTH
Dr Yue Ju (postdoc), Chinese University of Hong Kong
Yu Wang (PhD student), Division of Decision and Control Systems, KTH
Prof. Véronique Chotteau, Division of Industrial Biotechnology, KTH
Dr. Meeri Mäkinen, Division of Industrial Biotechnology, KTH
Industrial partners
