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Galvanin's research interests lie at the interface between mathematical modelling and experimentation. The research activity is particularly focused on the use of advanced computational tools for the development of predictive models for the characterisation of complex systems in both chemistry and physiology.
Dr. Galvanin has a specific expertise in the following areas:
Optimal experimental design for model identification
Kinetic modelling, chemical reactor modelling
Pharmacokinetics/pharmacodynamics modeling
Modeling of physiological systems
Machine learning-assisted model identification
The current research activity is primarily focused on the optimal design of experiments for i) the identification of kinetic models in microreactor platforms; ii) the development of pharmacokinetic models for the detailed study of physiological systems.
Dr. Galvanin has a specific expertise in the following areas:
Optimal experimental design for model identification
Kinetic modelling, chemical reactor modelling
Pharmacokinetics/pharmacodynamics modeling
Modeling of physiological systems
Machine learning-assisted model identification
The current research activity is primarily focused on the optimal design of experiments for i) the identification of kinetic models in microreactor platforms; ii) the development of pharmacokinetic models for the detailed study of physiological systems.
研究兴趣
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CHEMICAL ENGINEERING SCIENCE (2024): 119660
CHEMICAL ENGINEERING SCIENCE (2024): 119504-119504
Andrea Friso,Federico Galvanin
Computers & Chemical Engineeringpp.108724, (2024)
Emmanuel Agunloye,Panagiotis Petsagkourakis, Muhammad Yusuf,Ricardo Labes,Thomas Chamberlain,Frans L. Muller,Richard A. Bourne,Federico Galvanin
REACTION CHEMISTRY & ENGINEERING (2024)
Nausheen Basha,Rossella Arcucci,Panagiota Angeli, Charitos Anastasiou,Thomas Abadie,César Quilodrán-Casas, Jianhua Chen,Sibo Cheng,Loic Chagot,Federico Galvanin,Claire E. Heaney, Fria Hossein,
crossref(2024)
Computer-aided chemical engineeringpp.789-794, (2023)
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REACTION CHEMISTRY & ENGINEERINGno. 12 (2023): 3000-3017
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Maerthe Theresa Tillmann,Federico Galvanin
Computer-aided chemical engineeringpp.631-636, (2023)
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