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Regular version of the site

Alexei Ya. Chervonenkis

Short BIO

Alexey Chervonenkis was born in Moscow, Russia, in 1938. A graduate of Moscow Institute of Physics and Technology, he joined the Institute of Control Sciences of Russian Academy of Sciences in Moscow in early 60s, where he worked ever since, currently holding the position of Leading Researcher. He also holds a Professorship at Royal Holloway University in London, UK, and teaches at Yandex School of Data Analysis in Moscow. He is mostly known as one of the main developers of the fundamental Vapnik-Chervonenkis theory, a central part of the modern machine learning theory. Besides theoretical work, he has worked on a number of application areas. In 1987 he was awarded the State Prize of the Soviet Union for his work on the geostatistical analysis of spatial grade distribution in ore deposits and development of practical mining control systems.  

Dr Chervonenkis has made a long and outstanding contribution to the area of pattern recognition and computational learning. His first book on Pattern Recognition was published in 1974 (with Professor Vapnik) and he has become an established authority in the field. Together they developed the whole new research area of "statistical learning theory'' and pioneering ideas such as the inductive principle of structural risk minimization.
Dr Chervonenkis has been working in the Research Institute of Control Problems at the Russian Academy of Science in Moscow for many years and has won many prestigious prizes. He now divides his time between the Academy and the Computer Learning Research Centre.