Ivan Oseledets
{{short description|Russian mathematician}}
{{Infobox scientist
| name = Ivan Oseledets
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| birth_date = {{Birth date and age|1983|07|06|mf=y}}
| birth_place = Moscow, Soviet Union
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| fields = Machine learning
Numerical algorithms
| workplaces = Skolkovo Institute of Science and Technology
| alma_mater = Moscow Institute of Physics and Technology
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| doctoral_advisor = Evgeny Tyrtyshnikov
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| known_for = Tensor trains
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| awards = Honorary Professor of the RAS
Humboldt Prize
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Ivan Oseledets ({{langx|ru|Оселедец Иван Валерьевич}}; born July 6, 1983) is a Russian computer scientist and mathematician and professor at the Skolkovo Institute of Science and Technology.{{Cite web|url=https://faculty.skoltech.ru/people/ivanoseledets
|title=Faculty Profile at the Skolkovo Institute of Science and Technology|website=Skoltech.ru|access-date= January 24, 2022 }} He is best known for the tensor train decomposition,{{Cite journal|date=2011|title=Tensor-Train Decomposition|url=|journal=SIAM Journal on Scientific Computing|language=en|volume=33|pages=2295–2317|doi=10.1137/090752286|last1=Oseledets|first1=I. V.|issue=5|bibcode=2011SJSC...33.2295O }} which is more commonly called a matrix product state in the area of tensor networks.
Oseledets joined the Skolkovo Institute of Science and Technology in 2013 and currently serves as the director of the centre for artificial intelligence technology.{{Cite web|url=https://skoltech.ru
|title=Skolkovo Institute of Science and Technology|website=Skoltech.ru|access-date= January 24, 2022 }}
Education
Oseledets was educated in Russia, receiving an M.Sc from the Moscow Institute of Physics and Technology in 2006, and a Ph.D. from the G.I. Marchuk Institute of Numerical Mathematics{{Cite web|url=https://www.inm.ras.ru/en/
|title=G.I. Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences|website=inm.ras.ru/en|access-date= January 24, 2022 }} of the
Russian Academy of Sciences in 2007. He received the Russian Doctor of Sciences in 2012 also from the G.I. Marchuk Institute of Numerical Mathematics of
Honors and awards
On February 7, 2019, Russian President Vladimir Putin presented Oseledets with an award for, proposing breakthrough computational technology for solving multidimensional problems in physics, chemistry, biology, and data analysis based on tensor expansions.{{Cite web|url=https://mipt.ru/english/news/alumnus_i_oseledets_gets_presidential_award
|title=Institute alumnus Ivan Oseledets receives presidential award|website=mipt.ru|access-date= January 25, 2022 }}
In April 2022, Oseledets was elected to receive the honorary title, Professor of the Russian Academy of Sciences.{{Cite web|url=https://prof-ras-elections-2022.ras.ru/candidates/candidate.html?id=817
|title=Department of Mathematical Sciences of RAS Award Notification|website=prof-ras-elections-2022.ras.ru|access-date= May 15, 2022 }}
Oseledets received a Humboldt Prize from the Alexander von Humboldt Foundation. The starting date of the award was February 2022.{{Cite web|url=https://www.humboldt-foundation.de/vernetzen/recherche-im-humboldt-netzwerk/einzelansicht?tx_rsmavhsolr_solrview%5BpPersonId%5D=1215671&cHash=0f878d1b8a71d1fbbdb32f32f1cb6953
|title=Humboldt Research Award from the Alexander von Humboldt Foundation Notification|website=humboldt-foundation.de|access-date= May 29, 2022 }}
Early life and family
Ivan Oseledets comes from a family of mathematicians. His grandfather, Ivan Bezhaev, was associate professor at the Moscow State University and reached the rank of lieutenant general in the Soviet Union's Red Army where he was responsible for various mathematical projects involving cryptography.{{CN|date=May 2023}} His father, Valery Oseledets, proved Oseledets theorem in ergodic systems theory.{{cite journal |first=V. I. |last=Oseledets |title=Мультипликативная эргодическая теорема. Характеристические показатели Ляпунова динамических систем |trans-title=Multiplicative ergodic theorem: Characteristic Lyapunov exponents of dynamical systems |journal=Trudy MMO |volume=19 |year=1968 |pages=179–210 |language=Russian }}
References
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Category:Russian computer scientists