people
Vadim Nikitovich Kozlov
Professor; Doctor of Physical and Mathematical Sciences; Corresponding Member of the Academy of Technological Sciences of the Russian Federation
Vadim Kozlov received his Doctor of Physical and Mathematical Sciences degree in 1997. His doctoral dissertation was entitled “Mathematical Modelling of Visual Perception and Recognition Processes.” Until 1999, he was an Associate Professor in the Department of Mathematical Cybernetics at the Faculty of Computational Mathematics and Cybernetics, Moscow State University. Since 1999, he has been a Professor in the Department of Mathematical Theory of Intelligent Systems at MSU’s Faculty of Mechanics and Mathematics.
His research focuses on visual pattern recognition and mathematical modelling in biology. He leads research seminars on mathematical modelling in biology and pattern recognition.
Dmitry Vladimirovich Alexeev
Associate Professor; Candidate of Physical and Mathematical Sciences; Coordinator for Postgraduate Studies
Dmitry Alexeev graduated from MSU’s Advanced Educational and Scientific Centre in 1990 and its Faculty of Mechanics and Mathematics in 1995. He received his Candidate of Sciences degree in 2006 for a dissertation on approximating functions of one and several real variables with the Chebyshev–Hermite weight.
His interests include function theory, geometric approaches to pattern recognition, coding theory and erasure codes. His results include direct and inverse approximation theorems, an inverse theorem on reconstructing a solid from planar projections, and an existence theorem for an image with a prescribed code.
He has worked at MSU’s Laboratory of Theoretical Cybernetics since 1997 and the Centre’s Mathematics Department since 2000. In 2015, he won the “Mentor of Future Scientists” award in the national teachers’ competition organised by the Dynasty and Modern Natural Science foundations.
His teaching covers discrete analysis, intelligent systems, mathematical cybernetics, algebra, C++ system design and computer practicals; he also co-teaches mathematical biology with Vadim Kozlov. His official biography lists 32 articles, seven books, three US patents and nine supervised graduation theses.
Anatoly Alexandrovich Chasovskikh
Professor; Doctor of Physical and Mathematical Sciences
Anatoly Chasovskikh’s research interests include discrete control systems, automata theory, pattern recognition, artificial neural networks, graph theory and cryptography.
He solved the completeness problem for classes of linear automata over finite fields and identified all precomplete classes. He developed approaches to estimating the complexity of neural circuits in bases associated with the McCulloch–Pitts neuron model. He also developed technological solutions for automatically detecting and classifying objects in images under specified constraints on imaging conditions.
His official biography lists six books, 32 articles and three researchers whom he supervised to the Candidate of Sciences degree.