Andrii Musienko

Work place: State University of Telecommunications, Kyiv, Ukraine



Research Interests: Telecommunication


Andrii Musienko was born on March 3, 1986. He obtained PhD degree at the National Academy of Sciences of Ukraine in 2013. He graduated from the East Ukrainian National University in 2008 (Lutsk, Ukraine). Pedagogical activity: since 2013 he has been working at the State University of Telecommunications as a senior lecturer and a docent at Mathematics Department. His research interests ‒ reliability and functional stability of telecommunication networks, technical diagnostics of multicore systems.

Author Articles
Comprehensive Methods of Evaluation of Efficiency of Distance Learning System Functioning

By Oleg Barabash Andrii Musienko Spartak Hohoniants Oleksandr Laptiev Oleg Salash Yevgen Rudenko Alla Klochko

DOI:, Pub. Date: 8 Feb. 2021

The current pace of development of information technology has created the preconditions for the emergence of a wide range of tools for providing educational services using distance learning technologies. This is confirmed by the intensification of the use of distance learning systems in the conditions of sanitary and epidemiological restrictions and the need for acute cost savings.
The existing scientific and methodological apparatus for studying the quality of functioning of distance learning systems is mostly based on approaches to separate assessment of the effectiveness of their elements and the relevant quality indicators. This limits the ability to take into account important factors in the decision-making process and requires comprehensive consideration of the contributions of relevant subsystems to the functioning of the distance learning system.
In order to solve this problem, the article presents a comprehensive methodology for assessing the effectiveness of distance learning system, based on methods of probability theory and hierarchy analysis and describes the patterns of influence on the effectiveness of distance learning system of importance and contributions of its subsystems. Comparative analysis of the data obtained by monitoring and forecasting performance indicators based on the proposed method, shows an increase in the reliability of the assessment within 15-18%, which in contrast to the existing reduction of standard deviation of performance indicators by an average of 26% and ensures the adequacy of the results within certain assumptions and hypotheses.
In such conditions, the choice of an appropriate option for the construction of the DN system is ensured by the reliability of the forecast of the results of its operation in the range of 82-85%, which is high enough to make appropriate decisions.
The value of this study lies in the possibility of using the tested scientific and methodological apparatus in forecasting the outcome of the system and saving material, financial and human resources in the process of implementing the relevant recommendations in practice. This fact makes it possible to eliminate limitations in the practice of building distance learning systems and creates a new opportunity to cover a wider range of factors that affect the quality of operation.The application of this technique makes it possible to predict the results of the joint operation of the relevant subsystems of the distance learning system, taking into account their contribution to the overall result.

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Information Technology of Targeting: Optimization of Decision Making Process in a Competitive Environment

By Oleg Barabash Galina Shevchenko Natalia Dakhno Olena Neshcheret Andrii Musienko

DOI:, Pub. Date: 8 Dec. 2017

A concept targeting information technology is considered. The model of selection of the optimal amount of advertising on various Internet resources, in order to maximize the desired reach to the target audience is analyzed which. This model is different from traditional. A chance constrained target programming model was developed after considering the parameter that corresponds to reach for different media as random variables. The random variables in this case has been considered as the values with known mean and standard deviation. The reachability parameter can be determined by finding the ideal solution and the law on which the parameter values change. The method of multicriteria optimization is examined with determination of resulting objective function, which allows to consider various aspects of the problems of media choice and optimal budgeting and budget allocation simultaneously to get a satisfactory solution of the problem.

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