Anatolii O. Pashko
Professor

Information

Position: Professor
Degree: Candidate of Physical and Mathematical Science
Title: Professor
Room: 405
Phone: (+380) 44 259 05 30
E-mail: aapashko@gmail.com
Research interests: theory of random processes, statistical simulation, data science, information security

Courses:

Databases

Computer algebra

Publications:

1.Ю.В. Козаченко, А.О. Пашко, І.В. Розора. Моделювання випадкових процесів та полів // Київ. - ВПЦ Задруга. - 2007. - 230 с.
2.Козаченко Ю.В. Точність і надійність моделювання випадкових процесів та полів в рівномірній метриці: монографія /Ю.В. Козаченко, А.О. Пашко. – Київ, ТОВ СІК ГРУП Україна, 2016. -216с.
3.Козаченко Ю.В. Моделювання дробового броунівського руху у просторі Lp([0,T]). / Ю.В. Козаченко, А.О. Пашко, О.І. Василик // Теорія ймовірностей та математичга статистика. – 2017. -№97. – С. 119-131.
4.Pashko A. Modeling an intelligent system for the estimation of technical state of construction structures / A. Pashko, S. Terenchuk, B. Yeremenko, S. Kartavykh, N. Ershovа // Східно-Європейський журнал передових технологій. 3/2 (93). 2018. C. 47-53.
5.Kozachenko Yu.V. Simulation of generalized fractional Brownian motion in C([0,T]) / Yu.V. Kozachenko, A.O. Pashko and O.I. Vasylyk // Monte Carlo Methods and Appl. 2018. - 24(3), pp. 179–192.
6.A. Pashko and O. Vasylyk, Statistical Simulation of Size Behavior for TCP Windows, 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), Kyiv, Ukraine, 2019, pp. 617-620, doi: 10.1109/PICST47496.2019.9061332.
7.A. O. Pashko, O. V. Lukovych, I. V. Rozora, T. A. Oleshko and O. I. Vasylyk, Analysis of simulation methods for fractional Brownian motion in the problems of intelligent systems design, 2019 IEEE International Conference on Advanced Trends in Information Theory (ATIT), Kyiv, Ukraine, 2019, pp. 373-378, doi: 10.1109/ATIT49449.2019.9030478.
8.Pashko A. Estimation of Hurst Parameter for Self-similar Traffic / A. Pashko, T. Oleshko, O. Syniavska// Advances in Computer Science for Engineering and Education III. (ICCSEEA 2020), AISC 1247, pp. 1–11, 2021.https://doi.org/10.1007/978-3-030-55506-1_16
9.I. Krak, A. Pashko, O. Khorozov and O. Stelia, Physiological Signals Analysis, Recognition and Classification Using Machine Learning Algorithms Proceedings of The Third International Workshop on Computer Modeling and Intelligent Systems (CMIS-2020), Zaporizhzhia, Ukraine, April 27-May 1, 2020, pp.955-965.
10.I. Krak, A. Pashko, O. Stelia, O. Barmak and S. Pavlov, Selection Parameters in the ECG Signals for Analysis of QRS Complexes. Proceedings of the 1st International Workshop on Intelligent Information Technologies & Systems of Information Security, Khmelnytskyi, Ukraine, June 10-12, 2020, pp.1-13. UR  - http://ceur-ws.org/Vol-2623/paper1.pdf
11.O. Nakonechnyi, A. Pashko, A. Sverstuik and I. Shevchuk, Statistical Simulation of the External Influence of the Information Spreading of the Population Models, 2020 IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC), Kyiv, Ukraine, 2020, pp. 68-71, doi: 10.1109/SAIC51296.2020.9239225.
12.Pashko, A., Krak, I.V., Vasylyk, O., Mussabekova, A., Baitussupov, D. Quality estimation for models of a generalized wiener process. Przeglad Elektrotechniczny, 2020, 96(10), pp. 94-97.