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: http://graphics.cs.msu.ru/en/node/742
Дата изменения: Sun Apr 10 00:32:37 2016 Дата индексирования: Sun Apr 10 00:32:37 2016 Кодировка: UTF-8 |
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I am an assistant professor of the department of Computing Systems and Automation, Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University. I received my Ph.D. from CMC MSU in 2012. I am the author of 28 research papers, laureate of the faculty scholarship (2013, 2014, 2016) and MSU scholarship (2015) for young scientists and teachers that achieved significant success in teaching and research activities. In 2015 I won the contest on receiving the Russian President scholarship for young scientists and PhD students. I participate in research projects of Graphics and Media Lab. I am the member of organizing and program committees of international summer schools. |
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Research Interests
PhD Thesis: Algorithms for semantic segmentation and classification of low-dimensional biomedical signals based on machine learning |
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Teaching
Lectures and talks
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Projects |
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Selected publications
Multi-complexity ensemble measures for gait time series analysis: Application to diagnostics, monitoring and biometrics. Signal and Image Analysis for Biomedical and Life Sciences (Springer Advances in Experimental Medicine and Biology). 2015;823:107-26.
Fast brain mri registration with automatic landmark detection using a single template image. In: Pattern Recognition (37th German Conference, GCPR 2015, Aachen, Germany, October 7?10, 2015, Proceedings). ? Vol. 9358 of LECTURE NOTES IN COMPUTER SCIENCE. ? Springer International Publishing Heidelberg, Germany.; 2015. p. 390-9.
Segmentation of Blurred Objects by Classification of Isolabel Contours. Pattern Recognition. 2014;47(12):3881-9.
Сбалансированные деревья поиска: Учебно-методическое пособие. Москва: Издательский отдел факультета ВМК МГУ имени М.В. Ломоносова, МАКС Пресс; 2014.
Robust Algorithmic Detection of Cardiac Pathologies from Short Periods of RR Data. In: Knowledge-Based Systems in Biomedicine and Computational Life Science - Studies in Computational Intelligence (Springer). Vol 450.; 2013. p. 137-53.
Ensemble Decomposition Learning for Optimal Utilization of Implicitly Encoded Knowledge in Biomedical Applications. In: IASTED International Conference on Computational Intelligence and Bioinformatics. Pittsburgh, USA; 2011. p. 69-73.
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All publications in English |
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All publications in Russian |