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Federico Galvanin is a Professor in the Department of Chemical Engineering at University College London, having received his degree in Chemical Engineering in 2006 and his PhD in 2010 from the University of Padua. His postdoctoral research at the University of Padua focused on optimal design of clinical tests and the identification of physiological models. He began his academic career at University College London as a Research Associate in 2014, progressed to Lecturer in 2015, became an Associate Professor in 2021, and was appointed Full Professor in 2024. His research primarily revolves around model identification and optimal design of experiments, concentrating on the development of chemical, biological, and physiological models. His main research areas include advanced techniques for optimal model-based design of experiments (MBDoE), applications of conventional and advanced design methods in physiological systems and chemical processes, and the development of machine learning techniques for automated model identification. He leads the Galvanin System Identification (GSIG) group, which employs systems-based approaches to design informative experiments for identifying predictive models. Galvanin is also an advocate for sustainable development, focusing on goals such as Zero Hunger and Good Health.
University College London, Department of Chemical Engineering • London, United Kingdom
Leading research and teaching in Chemical Engineering.
University College London, Department of Chemical Engineering • London, United Kingdom
Engaging in advanced research and education in Chemical Engineering.
University College London, Department of Chemical Engineering • London, United Kingdom
Teaching and research in the Department of Chemical Engineering.
University College London • London, United Kingdom
Conducting research in chemical engineering.
University of Padua, Department of Industrial Engineering • Padova, Italy
Research on physiological models and clinical test design.
Imperial College London, Department of Chemical Engineering • London, United Kingdom
Assisting in chemical engineering research.