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Ivan Oseledets
Director, Center for Artificial Intelligence Technology, Skoltech
Ivan Oseledets is a prominent Russian computer scientist and mathematician, currently serving as the Director of the Center for Artificial Intelligence Technology at the Skolkovo Institute of Science and Technology (Skoltech) in Moscow. He has an extensive academic background, holding the position of Full Professor at Skoltech since September 2019 and previously serving as an Associate Professor from August 2013 to September 2019. His role as Director began in November 2021.135
Education and Academic Background
Oseledets graduated with a Master’s degree in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology in 2006. He completed his PhD at the G.I. Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences in 2007, followed by a Doctor of Sciences degree in 2012 from the same institution.154
Research Contributions
Oseledets is recognized for his significant contributions to numerical mathematics, particularly in tensor methods and their applications in artificial intelligence and machine learning. He is notably known for developing the tensor train decomposition, which is pivotal in various computational problems.25 His research interests encompass a wide range, including deep learning, quantum systems modeling, and numerical linear algebra. He has authored over 200 articles in leading international journals and conferences, making him one of the most cited mathematicians in Russia.234
Awards and Honors
Throughout his career, Oseledets has received numerous accolades, including:
- The Medal for Best Work Among Young Scientists in Mathematics from the Russian Academy of Sciences (2009).
- The Humboldt Prize from the Alexander von Humboldt Foundation (2020).
- An award from Russian President Vladimir Putin for proposing breakthrough computational technologies (2019) .15
Professional Engagements
In addition to his directorial role, Oseledets is actively involved in editorial responsibilities for several prestigious journals such as SIAM Journal on Scientific Computing and Advances in Computational Mathematics. He has also served as an area chair for major AI conferences like NeurIPS, ICML, and ICLR.23
Oseledets' scientific philosophy emphasizes practical algorithms that outperform theoretical models, aiming to foster independent research capabilities among his team members.2
