Age, Biography and Wiki
Alexander Gorban was born on 19 April, 1952 in Omsk, Soviet Union, is a Russian-British scientist (born 1952). Discover Alexander Gorban's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 71 years old?
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71 years old |
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Aries |
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19 April, 1952 |
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19 April |
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Omsk, Soviet Union |
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Soviet Union
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We recommend you to check the complete list of Famous People born on 19 April.
He is a member of famous with the age 71 years old group.
Alexander Gorban Height, Weight & Measurements
At 71 years old, Alexander Gorban height not available right now. We will update Alexander Gorban's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.
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Dating & Relationship status
He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.
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Alexander Gorban Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is Alexander Gorban worth at the age of 71 years old? Alexander Gorban’s income source is mostly from being a successful . He is from Soviet Union. We have estimated Alexander Gorban's net worth, money, salary, income, and assets.
Net Worth in 2024 |
$1 Million - $5 Million |
Salary in 2024 |
Under Review |
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Pending |
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Under Review |
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Timeline
Alexander Nikolaevich Gorban (Александр Николаевич Горба́нь) is a scientist of Russian origin, working in the United Kingdom.
He is a professor at the University of Leicester, and director of its
Mathematical Modeling Centre.
Gorban has contributed to many areas of fundamental and applied science, including statistical physics, non-equilibrium thermodynamics, machine learning and mathematical biology.
Gorban is the author of about 20 books and 300 scientific publications.
He has founded several scientific schools in the areas of physical and chemical kinetics, dynamical systems theory and artificial neural networks, and is ranked as one of the 1000 most cited researchers of Russian origin.
Alexander N. Gorban was born in Omsk on 19 April 1952.
His father Nikolai Vasilievich Gorban was a historian and writer exiled to Siberia, and his mother was a literature teacher in Omsk Pedagogical Institute.
In 1965-1966 he studied at the Specialized Educational Scientific Center on Physics, Mathematics, Chemistry and Biology of Novosibirsk State University (SESC NSU).
In 1967, at the age of 15, he entered Novosibirsk State University but was excluded from it in autumn 1969 because of his participation in January 1968 in political student movements against the convictions of Soviet writers Alexander Ginzburg and Yuri Galanskov.
After studying for a year in a vocational technical school and following an individual extramural program at Omsk Pedagogical Institute, he obtained a master's degree with a thesis entitled Sets of removable singularities in Banach spaces and continuous maps under the supervision of Russian mathematician Vladimir B. Melamed.
In 1973-1976 he worked in the Omsk Institute Of Transport Engineers and published his first scientific works, but his scientific career could not develop successfully because of his past political record.
He had several temporary work places from 1976 to 1978, each time being compelled to resign, but then moved to Krasnoyarsk where he was permanently employed at the Institute of Computational Modeling.
In 1980, Gorban obtained his Candidate of Sciences diploma, corresponding to PhD in the Russian scientific degree hierarchy.
His thesis title was Slow relaxations and bifurcations of omega-limit sets of dynamical systems (translated later into English ).
His viva was organized by Olga Ladyzhenskaya, Mark Krasnosel'skii, and George M. Zaslavsky.
At the same time, he taught at Krasnoyarsk State University (1981-1991) and subsequently headed the Neuroinformatics Department at the Krasnoyarsk State Technical University (1993-2006).
With the beginning of Perestroika he became the head of the Laboratory of Non-Equilibrium Systems in 1989 and completed his habilitation in 1990.
In the 1990s, Gorban visited several mathematical institutes in US and Europe, including the Clay Mathematics Institute, Courant Institute of Mathematical Sciences, Institut des Hautes Etudes Scientifiques, ETH (2003-2004), Isaac Newton Institute.
In 1995 he became the deputy director of the Institute of Computational Modeling and head of the Computational Mathematics Department.
In 2004, Gorban became Professor of Applied Mathematics at the Leicester University, UK, and the chair of its Mathematical Modeling Centre.
Gorban's scientific contributions have been made in theoretical physics, mechanics, functional analysis, theory of natural selection, theory of adaptation, artificial neural networks, physical kinetics, bioinformatics.
A top level view of scientific activity and the future of applied mathematics have been given in his book "Demon of Darwin: idea of optimality and natural selection", articles and public lectures.
In functional analysis, Gorban has investigated the properties of analytical Fredholm subsets in Banach spaces, formulated the relevant principle of maximum modulus and proved an analogue of the Remmert-Stein theorem.
In mathematical chemistry, Gorban has investigated the thermodynamical properties of chemical systems based on the analysis of Lyapunov's function trees in the polytope of conservation laws.
He developed a theory of thermodynamically admissible paths for complex multidimensional systems of chemical thermodynamics and kinetics.
Together with Grigoriy Yablonsky and his team he developed methods of mathematical modeling and analysis of chemical system models for kinetics of catalytic reactions.
He investigated the relaxation properties of some chemical systems and developed the singularity theory for transient processes of dynamical systems, developed the method of path summation for solving the chemical kinetics equations, developed a theory of dynamic limitation and asymptotology of chemical reaction networks which was applied to modeling of biological signalling networks and mechanisms of microRNA action on translation regulation.
Gorban has developed a series of methods for solving equations of chemical and physical kinetics, based on constructive methods of invariant manifold approximation.
This theory has found many applications in the construction of physically consistent hydrodynamics as a part of Hilbert's sixth problem, modeling non-equilibrium flows, in the kinetic theory of phonons, for model reduction in chemical kinetics, and modeling liquid polymers.
He developed new methods for application of the Lattice Boltzmann's Method, based on its thermodynamical properties.
Gorban has developed a mathematical model of the Gorlov helical turbine and estimated its achievable efficiency in energy capture.
He investigated general problems of geometrical interpretation of thermodynamics
and general properties of non-classical entropies.
In the mathematical theory of natural selection, Gorban developed a theory of a special class of dynamical systems with inheritance.
He discovered and explained theoretically the universal phenomenon of system adaptation under stress conditions,
leading to simultaneous increase of correlations and variance in the multidimensional space of system parameters.
In 2020, Gorban presented a keynote talk at the IEEE World Congress on Computational Intelligence.
Gorban has supervised 6 habilitations and more than 30 PhD theses.