Research Scientist at Skoltech¶
George received his Bachelor degree in 2008 and his Master’s degree in Applied Mathematics and Physics at the Moscow Institute of Physics and Technology in 2010. In 2013, he defended his PhD thesis in matrix analysis and model order reduction with applications in microelectronics design, supervised by Professor Yu. M. Nechepurenko. As a result of his PhD research, George proposed the new generalization of pseudo-inverse matrices with application to several model order reduction problems. George’s background includes working as a Research Engineer at the Institute for Design Problems in Microelectronics of the Russian Academy of Science and training at the Universite de Bretagne Occidentale in France. He has extensive programming skills in addition to substantive knowledge in model order reduction and numerical linear algebra with emphasis on Krylov-subspaces based methods and Lyapunov equation based techniques. George was a speaker at national and international science conferences and won a number of awards.
Model order reduction and periodic steady state analysis with focus on problems arising in life sciences
All publications, sorted by year
- I. V. Oseledets, G. V. Ovchinnikov, and A. M. Katrutsa. Fast, memory efficient low-rank approximation of SimRank. Journal of Complex Networks, 5(1):111–126, 2017. URL: http://arxiv.org/abs/1410.0717, doi:10.1093/comnet/cnw008. [ bib ]
- I. V. Oseledets, G. V. Ovchinnikov, and A. M. Katrutsa. Linear complexity SimRank using iterative diagonal estimation. arXiv preprint 1502.07167, 2015. URL: http://arxiv.org/abs/1502.07167. [ bib ]
- G. V. Ovchinnikov, D. A. Kolesnikov, and I. V. Oseledets. Algebraic reputation model RepRank and its application to spambot detection. arXiv preprint 1411.5995, 2014. URL: http://arxiv.org/abs/1411.5995. [ bib ]