Olga V. Valba
- Associate Professor:HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE) / School of Applied Mathematics
- Leading Research Fellow:Faculty of Mathematics / Laboratory for Complex Networks, Hypergraphs, and their Applications
- 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 Programme (Group of Young Academic Professionals)
Category "Future Professoriate" (2017-2018)
Courses (2023/2024)
Data Analysis and Machine Learning (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.02. Прикладная математика и информатика"; 1 year, 2, 3 module)Rus
- Data Analysis and Machine Learning (Mago-Lego; 2, 3 module)Rus
- Network Modeling (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 2 year, 2, 3 module)Rus
- Network Modeling (Mago-Lego; 2, 3 module)Rus
- Statistical analysis and modeling of complex systems (Optional course (faculty); HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); 2, 3 module)Rus
- Past Courses
Courses (2022/2023)
- Data Analysis and Machine Learning (Mago-Lego; 2, 3 module)Rus
Data Analysis and Machine Learning (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.02. Прикладная математика и информатика"; 1 year, 2, 3 module)Rus
Network Modeling (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.04. Прикладная математика"; 2 year, 2, 3 module)Rus
- Statistical analysis and modeling of complex systems (Optional course (faculty); 2, 3 module)Rus
Courses (2021/2022)
Data Analysis and Machine Learning (Master’s programme; HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE); field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.04. Прикладная математика"; 1 year, 1, 2 module)Rus
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
Conferences
Publications26
- Article Kochergin D., Khaymovich I. M., Olga Valba, Gorsky A. Anatomy of the fragmented Hilbert space: Eigenvalue tunneling, quantum scars, and localization in the perturbed random regular graph // Physical Review B: Condensed Matter and Materials Physics. 2023. Vol. 108. No. 9. Article 094203. doi
- Article Zhirnov A. A., German Y. Chesnokov, Stepanov K. V., Gritsenko T. V., Khan R. I., Koshelev K. I., Chernutsky A. O., Svetlo C., Pnev A. B., Valba O. V. Fiber-Optic Telecommunication Network Wells Monitoring by Phase-Sensitive Optical Time-Domain Reflectometer with Disturbance Recognition // Sensors. 2023. Vol. 23. No. 10. Article 4978. doi
- Article Olga Valba, Gorsky A. K-clique percolation in free association networks and the possible mechanism behind the 7±2 law // Scientific Reports. 2022. Vol. 12. No. 1. Article 5540. doi
- Article O. Valba, Gorsky A. Mobility Edge in the Anderson Model on Partially Disordered Random Regular Graphs // JETP Letters. 2022. Vol. 116. No. 6. P. 398-404. doi
- Article Valba O. V., Gorsky A., Nechaev S., Tamm M. Analysis of English free association network reveals mechanisms of efficient solution of Remote Association Tests // Plos One. 2021. Vol. 16. No. 4. P. 1-15. doi
- Article Valba O. V., Gorsky A. Interacting thermofield doubles and critical behavior in random regular graphs // Physical Review D - Particles, Fields, Gravitation and Cosmology. 2021. Vol. 103. No. 10. Article 106013. doi
- 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.