Alexander Gorban is a Director of the Centre for Artificial Intelligence, Data Analysis and Modelling (AIDAM) and Professor of Applied Mathematics at the University of Leicester. He worked for the Russian Academy of Sciences, Siberian Branch (Krasnoyarsk, Russia), and ETH Zürich (Switzerland), was a visiting professor and research scholar at Clay Mathematics Institute (Cambridge, MA), IHES (Bures-sur-Yvette, Île de France), Courant Institute of Mathematical Sciences (New York), and Isaac Newton Institute for Mathematical Sciences (Cambridge, UK).
His main research interests are dynamics of systems of physical, chemical and biological kinetics; biomathematics; machine learning, data mining and model reduction problems. A.N. Gorban has developed a family of methods for model reduction and coarse-graining. He has solved problems in gas kinetics, polymer dynamics, chemical reaction kinetics and biological kinetics. In recognition of this series of work, he received the I. Prigogine Award and medal, has been a Clay Scholar (Cambridge, MA, USA, 2000), received Fellowship of I. Newton Institute (Cambridge, UK) and Lifetime Achievement Award "in recognition of outstanding contributions to the research field of (bio)chemical kinetics", MaCKIE-2015, Ghent, Belgium, 2015.
Lead Academic in three Knowledge Transfer Partnership (KTP) grants in Machine Learning and Data Mining funded by Innovate UK. A general neural networks based technology of extraction of explicit knowledge from data was developed. A system of methods is developed to reveal the hidden intelligible models in complex systems: complex datasets and complex reaction networks.
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