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Vladimir Antonovich Kovalevsky was born on 5 September, 1927 in Kharkiv, Ukrainian SSR. He is a mathematician and a professor at the Moscow State University. He is best known for his work in the field of algebraic geometry and differential equations. Kovalevsky received his PhD in mathematics from the Moscow State University in 1952. He has since held various positions at the university, including professor of mathematics, head of the department of algebraic geometry, and director of the Institute of Mathematics. Kovalevsky has published numerous books and papers on algebraic geometry and differential equations. He is a member of the Russian Academy of Sciences and the International Mathematical Union. Kovalevsky is 96 years old. He has an estimated net worth of $1 million.

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Occupation physicist, mathematician, computer scientist
Age 97 years old
Zodiac Sign Virgo
Born 5 September 1927
Birthday 5 September
Birthplace Kharkiv, Ukrainian SSR
Nationality

We recommend you to check the complete list of Famous People born on 5 September. He is a member of famous mathematician with the age 97 years old group.

Vladimir Antonovich Kovalevsky Height, Weight & Measurements

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Vladimir Antonovich Kovalevsky Net Worth

His net worth has been growing significantly in 2022-2023. So, how much is Vladimir Antonovich Kovalevsky worth at the age of 97 years old? Vladimir Antonovich Kovalevsky’s income source is mostly from being a successful mathematician. He is from . We have estimated Vladimir Antonovich Kovalevsky's net worth , money, salary, income, and assets.

Net Worth in 2023 $1 Million - $5 Million
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Net Worth in 2022 Pending
Salary in 2022 Under Review
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Source of Income mathematician

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Timeline

1989

He suggested 1989 using topological knowledge, especially those of abstract cell complexes, in image processing. This has improved the definitions and the processing of boundaries and edges in two- and three-dimensional digital images. Vladimir A. Kovalevsky invented new efficient algorithms for edge detection in color images which can detect edges between subsets of different colors but the same lightness. He suggested efficient algorithms for tracing and encoding boundaries and also new definitions and recognition algorithms for recognizing digital straight segments. Kovalevsky developed as programmer many projects implementing these algorithms. The results of his research are described in his monographs.

1968

Over a period of nearly 40 years, Vladimir A. Kovalevsky made many fundamental and pioneering contributions to nearly every area of the above-mentioned fields. The research on digital image analysis (specifically on digital geometry and digital topology) is an important insertion to image processing and image analysis. He developed the statistically founded correlation method of recognizing optical patterns and the department “Pattern Recognition” at the Institute of Cybernetics, Kiew, has constructed in 1968 the optical character reading machine “Chars” implementing this method. The machine could read typed pages with high security.

1950

Vladimir A. Kovalevsky received his diploma in physics from Kharkiv University (Ukraine) in 1950, his first doctoral degree in technical sciences from the Central Institute of Metrology (Leningrad) in 1957 and his second doctoral degree in computer science from the Institute of Cybernetics of the Academy of Sciences of the Ukraine (Kiev) in 1968. From 1961 to 1983 he served as Head of Department of Pattern Recognition at that Institute. In 1983 he moved to the GDR. He worked as teaching professor or as scientific collaborator on universities in Germany (Zentralinstitut für Kybernetik at the ADW, Berlin University of Applied Sciences and Technology, University of Rostock, Technische Universität Dresden), USA (University of Pennsylvania, Drexel University), Mexico (National Autonomous University of Mexico), New Zealand (University of Auckland, Manukau Institute of Technology) and Korea (Chonbuk National University).

1927

Vladimir Antonovich Kovalevsky (born 1927) is a physicist. His research interests include digital geometry, digital topology, computer vision, image processing and pattern recognition.