Data science, risk management, system analysis,  big data analysis & technologies

 

Scientific Publications

 

Kuznietsova, N., Bidyuk, P., Kuznietsova, M. Data Mining Methods, Models and Solutions for Big Data Cases in Telecommunication Industry// In: Lecture Notes on Data Engineering and Communications Technologies, 2022, 77, pp. 107–127. https://link.springer.com/chapter/10.1007/978-3-030-82014-5_8

 

Nataliia Kuznietsova, and Petro Bidyuk, Intelligence Information Technologies for Financial Data Processing in Risk Management

 

Petro Bidyuk and Nataliia Kuznietsova, Integrated approach to financial data analysis, modeling and forecasting, Studies in Computational Intelligence, 2022, 1022, pp. 315–337. https://link.springer.com/book/10.1007/978-3-030-94910-5_16

 

Kuznietsova, N.V., Chernish, Z.S. Regression models application for analysis and forecasting of the financial activity quality indicators of the company. System Research and Information Technologies, 2020, 2020(2), pp. 67–81. https://doi.org/10.20535/SRIT.2308-8893.2020.2.05.

 

Кузнєцова Н.В., Бідюк П.І. Теорія і практика аналізу фінансових ризиків: системний підхід: монографія / Київ: Видавництво Ліра-К, 2020. 400 с.

 

Nataliia Kuznietsova, Serhii Smirnov, Application of Vision Transformers and 3D Convolutional Neural Networks for Sign Language Cluster Recognition. CEUR Workshop Proceeding (ISSN 1613-0073). 2023. Vol. 3392, CMIS 2023, p. 151-163.  http://ceur-ws.org/Vol-3392/

 

Kuznietsova N. V., Huskova V. H., Bidyuk P. I., Matsuki Y., Levenchuk L. B. Modelling risk factors interaction and risk estimation with copulas

DOI: 10.15588/1607-3274-2022-2-5.

 

Nataliia Kuznietsova, Petro Bidyuk, Marina Kuznietsova, Jules Lepretre Machine learning techniques for fault-tolerance analysis and forecasting

 

Nataliia Kuznietsova and Rémi Amoroso, An Approach to Green Financial Credit Risks Modeling

 

Kuznietsova N.,Bateiko E. Analysis and Development of Mathematical Models forAssessing Investment Risks in Financial Markets. CEUR Workshop Proceedings (ISSN 1613-0073). 2023. Vol. 3503, p. 92-101.  https://ceur-ws.org/Vol-3503/paper9.pdf

 

Kuznietsova N., Shevchuk O. Computer Modelling and Investigation of Investment Portfolios. CEUR Workshop Proceedings (ISSN 1613-0073). 2023. Vol. 3513, p. 250-262.  https://ceur-ws.org/Vol-3513/paper21.pdf

 

Kuznietsova N.V., Kvashuk I.O. and Chemanova A.O. Insurance claims risk modeling and forecasting using mathematical models and scorecards. CEUR Workshop Proceedings (ISSN 1613-0073). 2024. Vol. 3887, p. 50-62. https://ceur-ws.org/Vol-3887/paper5.pdf 

 

 Кузнєцова Н.В., Смірнов С.С. Узагальнена методологія розпізнавання мови жестів на відеопотоках на основі нейронних мереж і трансформерів. Реєстрація, зберігання і обробка даних. 2023. Т.25, №2. С. 66–76.

https://doi.org/10.35681/1560-9189.2023.25.2.300527

 

Кузнєцова Н. В., Шевчук О.С. Моделі оцінки ризиків зелених проєктів. Реєстрація, зберігання і обробка даних, 2024, Том.26, №1. С. 144-153. https://doi.org/10.35681/1560-9189.2024.26.1.308752

 

N.V.   Kuznietsova,   O.M.   Trofymchuk,   P.I.   Bidyuk,   O.M.   Terentiev,   and   L.B.  Levenchuk  “Bayesian  modelling  of  risks  of  various  origin”,  KPI  Science  News,  no.  4,  pp.  7–18,  2021. https://doi.org/10.20535/kpisn.2021.4.251684

 

Кузнєцова Н.В. Динамічне оцінювання ризиків і розробка антиризикових стратегій банківської діяльності / Н. В. Кузнєцова, Ф. А. Чан, М. В. Самсонюк, М. В. Юрчук

 

O. Trofymchuk, O. Tymoshchuk, N. Kuznietsova, V. Huskova, P. Bidyuk and S. Polozhaenko, "Intellectual Decision Support System for Modeling and Forecasting Nonlinear Nonstationary Financial Processes and Risks Estimation," 2022 IEEE 3rd International Conference on System Analysis & Intelligent Computing (SAIC), 2022, pp. 1-5.10.1109/SAIC57818.2022.9923009.

 

N. Kuznietsova and P. Bidyuk, "Heteroskedasticity Models for Financial Processes Modelling and Forecasting," 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP), Lviv, Ukraine, 2020, pp. 310-315. DOI: 10.1109/DSMP47368.2020.9204313.

 

Kuznietsova N., Bidyuk P., Kulinich A. V. Data Mining Methods for Evaluation and Forecasting the Mobile Internet Traffic in Roaming. CEUR Workshop Proceeding. 2021. Vol. 2864. pp. 73-86.http://ceur-ws.org/Vol-2864/paper7.pdf.

 

Nataliia Kuznietsova, and Petro Bidyuk, Adaptive Approach to Building Risk Models of Financial Systems. CEUR Workshop Proceeding (ISSN 1613-0073). 2021. Vol. 2859. P.85-98. http://ceur-ws.org/Vol-2859/paper8.pdf

 

Nataliia Kuznietsova, Maryna Kuznietsova, Data Mining Methods Application for Increasing the Data Storage Systems Fault-Tolerance

 

Jozef Korbicz, Petro Bidyuk, Nataliia Kuznietsova, Arsenii Kroptya, Oleksandr Terentiev, Tetyana Prosiankina-Zharova, Multivariate Distribution Model for Financial Risks Management

9.

P. Bidyuk, S. Polozhaenko, N. Kuznietsova and L. Levenchuk, "Probabilistic Data Analysis in Non-Stationary Processes Forecasting," 2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC), Kyiv, Ukraine, 2020, pp. 297-302 10.1109/SAIC51296.2020.9239200

Dr. Habil. Nataliia Kuznietsova is a Visiting Professor of American University Kyiv. 

Professor of the Institute of Applied System Analysis NTUU "Igor Sikorsky Kyiv Polytechnic Institute”. 

Received her Ph.D. in Informational Technologies from the Igor Sikorsky Kyiv Polytechnic Institute and Habilitated there in 2019 (01.05.04 specialty - System analysis and theory of optimal solutions). She received in 2024 a Fellowship from Australian Academy of Science and Ukrainian-Australian Research Foundation for research visit to University of Sydney.

Has practical experience as a Project Manager and SAS instructor (more than 10 years), Leader of System Analysis & Risk Management Group (SA&RM) 

Participated in the international exchange programs and Erasmus+ staff mobilities in Ecole Central de Lyon, Mines Paris Tech (Paris), Technical University of Dresden (Germany), University of Zagreb (Croatia), University of Warwick (Great Britain), etc.