Olga V. Valba
- Associate Professor:HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) / School of Applied Mathematics
- Olga V. Valba has been at HSE University since 2014.
Education and Degrees
- 2014
Candidate of Sciences* (PhD)
Semenov Institute of Chemical Physics of the Russian Academy of Sciences - 2010
Master's
Moscow Institute of Physics and Technology
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
Young Faculty Support Program (Group of Young Academic Professionals)
Category "Future Professoriate" (2017-2018)
Student Term / Thesis Papers
- Bachelor
N. Martynov, Link Analysis in Semantic Networks. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2020
V. Baianov, Developing the Algorithm for Building the Customer Decision Tree for the Retail Network. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2020
D. Kim, Development of Clickbait Classifier based on Detecting the Stance of Headlines to Articles. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2019
A. Abramov, Graf Vector Representation Methods for Machine Learning Problems. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2019
A. Korneeva, Monte-Carlo Simulation of Complex Networks. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2019
R. Layko, Prediction of Affinity Between MHC Molecules and Peptide-ligands Using Convolutional Neural Networks. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2018
G. Chesnokov, Detection and Classification of Noisy Non-stationary Signals by Methods of Machine Learning. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2018
E. Tsyrendylykova, Computer Modeling of Spreading Activation Network. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2018
A. Kostiushina, Topological Properties of Exponential Random Graphs. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2018
S. Tolstoukhova, Metagenomic Data Classification with Machine Learning. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2018
I. Tolkachev, Ensemble Learning for Detection and Classification of Noisy Nonstationary Signals. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2017
A. Konovalova, Properties of Random Walk on a Tree. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2017
D. Andryukhina, Spectral Properties of Ensembles of Trees. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2017
N. Vdovin, Detection and Classification of Noisy Nonstationary Signals by Methods of Machine Learning. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2017
Y. Chudovskiy, Clusters Formation in a Network of Different Topology. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2016
N. Tishkin, Fast Algorithm of Clusters Detection in Graphs. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2016
- Master
A. Kostiushina, Phase Transitions in Spreading Activation Models. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2020
S. Naumenko, Search Problem and Spreading Activation in Semantic Networks. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2019
I. Tolkachev, Link Direction Prediction in Semantic Networks. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2019
E. Shiriaeva, Topological Properties of Connectome Network. HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE), 2017
Courses (2020/2021)
- Contemporary Methods for Taking Decisions: Statistical Methods and Complex Network Analisys (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1-4 module)Rus
- Research Seminar (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 2 year, 1-3 module)Rus
- Statistical analysis and modeling of complex systems (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 4 year, 1-3 module)Rus
Courses (2019/2020)
- Contemporary Methods for Taking Decisions: Statistical Methods and Complex Network Analisys (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1-4 module)Rus
- Machine Learning (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 3 year, 3 module)Rus
- Research Seminar (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1-4 module)Rus
- Statistic Analysis Composite Systems, Chaos, Fractals (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 4 year, 1, 2 module)Rus
- Past Courses
Courses (2018/2019)
- Contemporary Methods for Taking Decisions: Statistical Methods, Chaos, and Order Parameters (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1, 2 module)Rus
- Discrete Mathematics (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 2 year, 3, 4 module)Eng
- Machine Learning (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 3 year, 3 module)Rus
- Network Modeling and Big Data Analysis (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 3, 4 module)Rus
- Research Seminar (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 4 year, 1-3 module)Rus
- Statistic Analysis Composite Systems, Chaos, Fractals (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 4 year, 1, 2 module)Rus
Courses (2017/2018)
- Contemporary Methods for Taking Decisions: Statistical Methods, Chaos, and Order Parameters (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1, 2 module)Rus
- Discrete Mathematics (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 2 year, 1, 2 module)Eng
- Discrete Mathematics (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 2 year, 1 module)Eng
- Machine Learning (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 3 year, 3 module)Rus
- Research Seminar (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1-4 module)Rus
- Research Seminar (4th year) (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 4 year, 1, 2 module)Rus
- Statistic Analysis Composite Systems, Chaos, Fractals (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 4 year, 1, 2 module)Rus
Courses (2016/2017)
- Calculus (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 2 year, 1, 2 module)Rus
- Chaotic Systems and Complex Networks (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 4 year, 1 module)Eng
- Contemporary Methods for Taking Decisions: Statistical Methods, Chaos, and Order Parameters (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 3 year, 3 module)Rus
- Research Seminar (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1-4 module)Rus
- Research Seminar (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 2 year, 1-3 module)Rus
Courses (2015/2016)
- Algorithms and Complexity Analysis (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 3 year, 3 module)Rus
- Calculus (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 2 year, 1, 2 module)Rus
- Chaotic Systems and Complex Networks (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 4 year, 1, 2 module)Eng
- Contemporary Methods for Taking Decisions: Statistical Methods, Chaos, and Order Parameters (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1, 2 module)Rus
- Mathematical Analysis (Calculus) (Bachelor’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1-4 module)Rus
- Research Seminar (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 1 year, 1-4 module)Rus
Conferences
Publications20
- Article Gorsky A., Valba O. V. Finite-size effects in exponential random graphs // Journal of Complex Networks. 2020. Vol. 8. No. 1. P. cnaa008. doi
- Article Valba O. V., Gorsky A., Avetisov V. A., Nechaev S. Self-isolation or borders closing: What prevents the spread of the epidemic better? // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 2020. Vol. 102. No. 1. P. 1-6. doi
- Article Nechaev S., Gorsky A., Avetisov V., Valba O. V. Localization and non-ergodicity in clustered random networks // Journal of Complex Networks. 2019. P. 1-17. doi
- Article Pospelov N., Nechaev S., Anokhin K., Valba O. V., Avetisov V., Gorsky A. Spectral peculiarity and criticality of a human connectome // Physics of Life Reviews. 2019. P. 1-24. doi
- Article Avetisov V. A., Nechaev S., Gorsky A., Maslov S., Valba O. V. Phase transitions in social networks inspired by the Schelling model // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 2018. Vol. 98. No. 3. P. 032308-1-032308-11. doi
- Article Nechaev S., Gorsky A., Avetisov V. A., Valba O. V. Finite plateau in spectral gap of polychromatic constrained random networks // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 2017. No. 96. P. 062309-1- 062309-14. doi
- Article Tamm M., Nechaev S., Valba O. V. Path counting on simple graphs: from escape to localization // Journal of Statistical Mechanics: Theory and Experiment. 2017. Vol. 2017. No. 053301. P. 1-17. doi
- Article Nechaev S., Kovaleva V., Maximov Y., Valba O. V. Peculiar spectral statistics of ensembles of trees and star-like graphs // Journal of Statistical Mechanics: Theory and Experiment. 2017. Vol. 7. No. 7. P. 1-20. doi
- Article Avetisov V. A., Hovhannisyan M., Gorsky A., Tamm M., Valba O. V., Nechaev S. Eigenvalue tunneling and decay of quenched random network // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 2016. Vol. 94. No. 062313. P. 1-6. doi
- Article Avetisov V. A., Gorsky A., Nechaev S., Valba O. V. Spontaneous symmetry breaking and phase coexistence in two-color networks // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 2016. Vol. 93. No. 1. P. 012302-1-012302-7. doi
- Article Valba O. V., Nechaev S., Sterken M. G., Snoek L. B., Kammenga J. E., Vasieva O. O. On predicting regulatory genes by analysis of functional networks in C. elegans // BioData Mining. 2015. Vol. 8. No. 33. P. 1-16. doi
- Article M. V. Tamm, Shkarin A. B., V. A. Avetisov, O. V. Valba, S. K. Nechaev. Islands of Stability in Motif Distributions of Random Networks // Physical Review Letters. 2014. Vol. 113. P. 095701-095705. doi
- Article Nechaev S., Tamm M., Valba O. V., Lokhov A. Topological transition in disordered planar matching: combinatorial arcs expansion // Journal of Statistical Mechanics: Theory and Experiment. 2014. No. 12. P. 12004. doi
- Preprint Tamm M., Avetisov V. A., Shkarin A., Nechaev S., Valba O. V. Islands of stability in motif distributions of random networks, accepted to Physical Review Letters / arxiv.org. Series 1307 "arxiv.org". 2013. No. 1307.0113 .
- Article Lokhov A., Valba O. V., Tamm M., Nechaev S. Phase transition in random planar diagrams and RNA-type matching // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 2013. Vol. 88. P. 052117.
- Article Nechaev S., Sobolevski A., Valba O. V. Planar diagrams from optimization for concave potentials // Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 2013. Vol. 87. No. 1. P. 012102-1-012102-9. doi
- Article Valba O. V., Tamm M., Nechaev S. New alphabet-dependent morphological transition in random RNA alignment // Physical Review Letters. 2012. Vol. 109. P. 018102.
- Article Вальба О. В., Нечаев С. К., Тамм М. В. Взаимодействие молекул РНК: энергия связывания и статистические свойства случайных последовательностей // Химическая физика. 2012. Т. 31. С. 23.
- Article Вальба О. В., Нечаев С. К., Тамм М. В. Сравнение молекул РНК: энергия связывания и статистические свойства случайных последовательностей // Журнал экспериментальной и теоретической физики. 2012. Т. 141. С. 399.
- Article Tamm M., Valba O. V., Nechaev S. Sequence matching algorithms and paring of noncoding RNAs // Journal of Physics A: Mathematical and Theoretical. 2011. Vol. 44. P. 195001.
