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Dr Federico Galvanin
113a Roberts Building
Torrington Place
London
WC1E 7JE
Appointment
- Lecturer
- Dept of Chemical Engineering
- Faculty of Engineering Science
Biography
Federico Galvanin received the degree in Chemical Engineering in 2006 and the Ph.D. degree in 2010 at the University of Padova. After a post-doctoral activity in Padova focusing on the optimal design of clinical tests for the identification of physiological models, he has been working as a post-doc Research Associate at University College of London (UK) since 2014. In September 2015 he started a new position as a Lecturer at the UCL Department of Chemical Engineering. His main areas of expertise are in the field of model identification including optimal design of experiments (theory and applications) for the development of chemical, biological and physiological models.
Research Groups
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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:
- Design of Experiments (DoE) and statistical planning
- Model-based Design of Experiments (MBDoE) for model identification
- Kinetic modelling, chemical reactor modelling
- Pharmacokinetics/pharmacodynamics modeling
- Modeling of physiological systems
- Parameter Estimation
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.
Teaching Summary
Dr Galvanin's departmental teaching activities are mainly in the areas of process design and simulation of chemical processes. Below are the modules he is currently involved in teaching.
- CENG0025 Process Systems Modelling and Design
- CENG0017 Process Dynamics and Control
Academic Background
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