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Ivan Shanin

Ivan Shanin

junior researcher

ishanin (at) frccsc (dot) ru


2013 MSc (Specialist) degree in Mathematics and System Programming with thesis ”Electrocardiogram analysis methods for ischemic heart disease early diagnosis”. Faculty of Mathematical Methods of Forecasting, Department of Computer Science and Cybernetics, Мoscow State University.

Research Interests

  • Deep Learning for Neurophysiological Data Analysis (Electroencephalogram analysis, eye-tracking analysis, fMRI analysis)
  • Deep Learning for Speech and Audio (music information retrieval, speaker verification, voice activity detection, music generation)



Shanin I. A., Stupnikov S. A. Electroencephalography data analysis with convolutional and recurrent neural networks //Sistemy i Sredstva Informatiki [Systems and Means of Informatics]. – 2021. – Т. 31. – №. 2. – С. 36-46.

Bryukhov, D. O., Stupnikov, S. A., Kovalev, D. Y. E., & Shanin, I. A. (2021). An architecture for distributed data analysis problem solving in neurophysiology. Informatika i Ee Primeneniya [Informatics and its Applications],15(1), 78-85.

Simone Bianco, Luigi Celona, Intissar Khalifa, Paolo Napoletano, Alexey Petrovsky, Flavio Piccoli, Raimondo Schettini, and Ivan Shanin. ArabCeleb: Speaker Recognition in Arabic. In International Conference of the Italian Association for Artificial Intelligence (AIxIA), 2021


D. O. Bryukhov, S. A. Stupnikov, D. Yu. Kovalev, I. A. Shanin. Neurophysiology as a subject domain for data intensive problem solving, Inform. Primen., 14:1 (2020), 40–47 (in Russian)

В. Н. Захаров, С. А. Ступников, И. А. Шанин. Математические методы анализа данных электроэнцефалографии с помощью многозадачного обучения // Обозрение прикладной и промышленной математики, 2020, 27(1)


Ivan Shanin, Sergey Stupnikov, Viktor Zakharov. Application of Anomaly Detection Methods in the Housing and Utility Infrastructure Data. Proc. 2019 Ivannikov Memorial Workshop (IVMEM), P. 101 – 105. IEEE, 2019. DOI: 10.1109/IVMEM.2019.00023


Kovalev D., Shanin I., Stupnikov S., Zakharov V. Data Mining Methods and Techniques for Fault Detection and Predictive Maintenance in Housing and Utility Infrastructure // Proc. of the International Conference on Engineering Technologies and Computer Science, EnT 2018. IEEE, 2018. - P. 47-52.

Шанин И. А., Ступников С. А., Захаров В. Н. Методы и средства обнаружения нештатных ситуаций, возникающих на элементах жилищно-коммунальной инфраструктуры. Информатика и ее применения. М.: ФИЦ ИУ РАН, 2018. 12(3):67-73.

Захаров В. Н., Ковалев Д. Ю., Ступников С. А., Шанин И. А. Математические методы анализа данных для обеспечения мониторинга и поддержки предиктивного ремонта элементов жилищной инфраструктуры. XIX Всероссийский Симпозиум по прикладной и промышленной математике (осенняя открытая сессия), Сочи, 22 – 30 сентября 2018 г. Обозрение прикладной и промышленной математики, 2018. 25(3).

Evstifeev S., Shanin I. Music Genre Classification Based on Signal Processing // Selected Papers of the XX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2018). CEUR Workshop Proceedings, Vol. 2277. P.157-161. 2018.


Manvel Avetisian, Ivan Shanin. Volumetric Medical Image Segmentation with Deep Convolutional Neural Networks // Data Analytics and Management in Data Intensive Domains: Collection of Scientific Papers of the XIX International Conference DAMDID / RCDL’2017. Moscow: FRC CSC RAS, ISBN 978–5–519–60516–8, P. 26-28, 2017.


Kalinichenko L. A, Shanin I., Taraban I. Methods for Anomaly Detection: a Survey. 16th Russian Conference on Digital Libraries RCDL 2014 Proceedings. CEUR Workshop Proceedings 1297:20-25.


Riabenko, E. A., Kogadeeva, M., Gavrilyuk, K., Sokolov, E., Shanin, I., Tonevitsky, A. G. (2012). Comparing Affymetrix Human Gene 1.0 ST preprocessing methods on tissue mixture data. In 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE) (pp. 631-634).

Supported by Synthesis Group