Ivan Tyukin
Professor of Applied Mathematics, DrSc
Turing Artificial Intelligence Fellow
Head of the Visual Intelligence Lab (Lead research on Artificial Intelligence and Machine Learning for Computer Vision)
School's Director of Research
Next Generation Digital Intelligence Systems Facility Lead in METEOR (Leicester Space Park)
Deputy Director of Artificial Intelligence, Data Analytics and Modelling Centre (AIDAM)
Editor of Communications in Nonlinear Science and Numerical Simulation
Tel: +44(0) 116 252 5106
Email: I.Tyukin [at] le.ac.uk
Personal details
Teaching
- MA2021/MA2022 Differential equations and dynamics
- MA3077/MA7077 Operations Research
Research
Public engagement
- Contribution to UK Parliament POST: Remote Sensing and Machine Learning
- All Party Parliamentary Group on AI (APPG AI) (contribute to Sustainability and Health and Wellbeing taskforce)
Patents
I. Romanenko, I. Tyukin, A.N. Gorban, K. Sofeikov. US Patent number US 10062013B2. Method of Image Processing
I. Romanenko, A.N. Gorban, I. Tyukin. Patent number US10489634B2. Image Processing.
Selected current grants and funded projects
(See CV for the list of all current and completed grants and research projects)
UKRI:
The Health Foundation:
Innovate UK:
Selected Publications
Books and Book chapters
| I. Tyukin. Adaptation in Dynamical Systems, Cambridge University Press, 2011 (ISBN-10: 0521198194 | ISBN-13: 9780521198196) |
S. Gepshtein, I. Tyukin. Optimal measurement of visual motion across spatial and temporal scales. Computer vision in control systems - 1. Mathematical theory, Springer-Verlag, Berlin, 2015, pages 211-238. (ISBN 978-3-319-10653-3) |
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Recent Papers and Research Highlights
I.Y. Tyukin, D.J. Higham, E. Woldegeorgis, A.N. Gorban. The Feasibility and Inevitability of Stealth Attacks. arXiv preprint at https://arxiv.org/abs/2106.13997
A.N. Gorban, B. Grechuk, E.M. Mirkes, S.V. Stasenko, I.Y. Tyukin. High-dimensional separability for one-and few-shot learning. arXiv preprint at https://arxiv.org/abs/2106.15416
I.Y. Tyukin, A.N. Gorban, M.H. Alkhudaydi, Q. Zhou. Demystification of Few-shot and One-shot Learning. arXiv preprint at https://arxiv.org/abs/2104.12174. Accepted to 2021 IEEE International Joint Conference on Neural Networks (IEEE IJCNN).
I. Tyukin, A.N. Gorban, A.A. McEwan, S. Meshkinfamfard, L. Tang. Blessing of dimensionality at the edge and geometry of few-shot learning, Information Sciences, 564, 124-143, 2021. https://doi.org/10.1016/j.ins.2021.01.022
B. Grechuk, A.N. Gorban, I.Y. Tyukin. General stochastic separation theorems with optimal bounds. Neural Networks, 138, 33-56, 2021.
N.V. Brilliantov, H. Abutuqayqah, I.Y. Tyukin, S.A. Matveev. Swirlonic state of active matter. Scientific Reports, 10, 16783, 2020. In Top-2 percent of all research outputs scored by Altmetric, as of May 2021
Tyukin IY, Higham DJ, Gorban AN. On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. arXiv preprint arXiv:2004.04479, 2020. Nominated for the Best Paper Award at the 2020 World Congress on Computational Intelligence (IEEE IJCNN). Video of the talk can be downloaded from here.
C. Calvo, I.Y. Tyukin, V.A. Makarov. Universal Principles Justify the Existence of Concept Cells. Scientific Reports, 10, 7889, 2020. In Top-5 percent of all research outputs scored by Altmetric, July 2020.
