Semenova (Lebedeva) Yevgeniya Viktorivna
Education
July 2004 - M. Sc. Degree in Mathematics at Tavrida National University, Department of Mathematics;
2004-2008 Post graduate course at the Institute of Mathematics of National Academy of Science of Ukraine. Speciality: computational mathematics;
January 2009 - defence of a Ph. D. thesis on the specialization computational mathematics.
2004-2008 Post graduate course at the Institute of Mathematics of National Academy of Science of Ukraine. Speciality: computational mathematics;
January 2009 - defence of a Ph. D. thesis on the specialization computational mathematics.
Dissertations
Semenova E.V. Bounds of
information expenses for solving ill-posed problems. The thesis is presented for the scientific degree of the
candidate of physics and mathematics by speciality 01.01.07 ---
computational mathematics
information expenses for solving ill-posed problems. The thesis is presented for the scientific degree of the
candidate of physics and mathematics by speciality 01.01.07 ---
computational mathematics
Research interests
Numerical analysis,
Nonlinear and linear Ill-posed problems
Regularization Theory
Approximation theory
Nonlinear and linear Ill-posed problems
Regularization Theory
Approximation theory
Experience
2009-2011 Junior research scientist in the Approximation Theory department in Institute of Mathematics of National Academy of Science of Ukraine
2011--2016 Research scientist in the Approximation Theory department in Institute of Mathematics of National Academy of Science of Ukraine
since 2016 Research scientist in Laboratory of optimal methods for inverse problems of department of computational mathematics in Institute of Mathematics of National Academy of Science of Ukraine
2011--2016 Research scientist in the Approximation Theory department in Institute of Mathematics of National Academy of Science of Ukraine
since 2016 Research scientist in Laboratory of optimal methods for inverse problems of department of computational mathematics in Institute of Mathematics of National Academy of Science of Ukraine
Talks on conferences
- Yevgeniya Semenova; Serhii Solodky Application of Chebyshev polynomials for optimal differentiation and summation \\ Bogolyubov Kyiv Conference ”Problems of Theoretical and Mathematical Physics” 2024/Book of Abstracs, p.114
-Prestin J and Semenova YV Sparse Interpolation for multivariate functions of bounded variation\\ Book of abstract Conference Approximation and Spectral Optimization, September 11 - 18, 2024, Almaty, Kazakhstan. p.30-31
-Semenova, Evgeniya V. and Solodky, Sergiy G. Chebyshev polynomials for solving numerical differentiation \\ Book of abstract Conference Approximation and Spectral Optimization, September 11 - 18, 2024, Almaty, Kazakhstan. p.38-39
-Semenov V.Y., Semenova Y.V. Method for the Automatic Modulation Classification for the Sums of Phase-Shift-Keying Signals Based on Polynomial Features // Proceedings of IEEE Elnano conference, —2024. — pp. 587–590.
-Vasyl Semenov, Yevheniya Semenova, Method for Speaker Gender Classification Based on Gaussian Mixture Modeling, Proceedings of "Information technologies and computer modeling", 2024, pp. 82-84.
-Prestin J and Semenova YV Sparse Interpolation for multivariate functions of bounded variation\\ Book of abstract Conference Approximation and Spectral Optimization, September 11 - 18, 2024, Almaty, Kazakhstan. p.30-31
-Semenova, Evgeniya V. and Solodky, Sergiy G. Chebyshev polynomials for solving numerical differentiation \\ Book of abstract Conference Approximation and Spectral Optimization, September 11 - 18, 2024, Almaty, Kazakhstan. p.38-39
-Semenov V.Y., Semenova Y.V. Method for the Automatic Modulation Classification for the Sums of Phase-Shift-Keying Signals Based on Polynomial Features // Proceedings of IEEE Elnano conference, —2024. — pp. 587–590.
-Vasyl Semenov, Yevheniya Semenova, Method for Speaker Gender Classification Based on Gaussian Mixture Modeling, Proceedings of "Information technologies and computer modeling", 2024, pp. 82-84.