Ivan Tyukin is a Professor of Applied Mathematics at the University of Leicester. He graduated from Saint-Petersburg State Electrotechnical University (LETI) in 1998, and has been awarded PhD and DSc degrees in 2001 and 2006, respectively. From 2001 to 2007 he has been a Research Scientist at RIKEN Brain Science Institute, Japan, and following 5 years as an RCUK Academic Fellow at Leicester (2007), he was appointed to the posts of Lecturer (2012), Reader (2014), and Professor (2018) at the University of Leicester. In 2019 he has been appointed as an adjunct Professor at the Norwegian University of Science and Technology, Norway, to lead AI and Machine Learning research in the BRU21 Programme. His research interests revolve around challenges of machine intelligence, adaptation, learning, control and dynamical systems theory. Development of these theoretical tools requires combination of techniques from different areas spanning concentration of measure theory, statistical learning theory, analysis, modelling and synthesis of fragile, nonlinear, chaotic, meta-stable dynamics, adaptation and adaptive control theory, synchronization (stable and critical), biologically-inspired systems for processing of the visual information, computer vision, networks of interconnected dynamical systems, analysis of dynamics of the spiking neuron models, their properties and possible functions, algorithms for machine learning and data analysis in high dimensions.