Updated: 2025-12-29
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0225U005264, (0121U109232) , R & D reports
Investigation, simulation and software development for complex dynamic systems
Дослідження, моделювання та розробка програмного забезпечення складних динамічних систем
Serhii E. Ostapov, д.ф.-м.н.
29-12-2025
Yuriy Fedkovych Chernivtsi National University
Development and optimization of mathematical and algorithmic models of complex dynamical systems; research and development of new cryptographic tools and integrated information security systems; study of the properties of complex systems; development of appropriate software.
The scientific work of the Department of Computer Systems Software is dedicated to a comprehensive study and development of innovative approaches to the modeling, analysis, and forecasting of processes in complex information technology systems. The subject of the research is the theoretical and applied aspects of the search for modeling and forecasting methods embodied in the form of specialized software. The object of the research is software systems and complexes in the fields of cryptography, optoelectronics, complex network analysis, serverless computing, and intelligent decision support systems. The goal of the work is the optimization of mathematical and algorithmic models for physical-technical and information systems. Particular attention is paid to the implementation of new cryptographic tools based on cellular automata, the creation of high-sensitivity photodiodes, and the development of methods for analyzing digital discourse, as well as epidemiological and demographic processes. An important vector of the work is the construction of serverless system architectures for proactive data scaling. The methodological basis of the research consists of: cellular automata modeling, cryptographic strength analysis according to NIST standards, statistical and cluster analysis of complex networks, as well as machine learning tools (ANN, ANFIS, LSTM). MLOps approaches were used for data processing automation and physical-technical process modeling methods. Scientific novelty and results. A hybrid random number generator with a high generation speed was developed, and its software model was implemented. Photodiode designs with an improved dynamic range and sensitivity were created. Intelligent models for forecasting natural phenomena based on heliogeophysical factors were proposed. Multi-level serverless architectures and software modules for monitoring user physical status and analyzing market behavior on online exchanges were developed.
Yurii G. Dobrovolskyi
Liliia M. Shumyliak
Liliia I. D'iachenko
Volodymyr V. Zhykharevych
Heorhii V. Prokhorov
Serhii V. Yanushevskyi
Kateryna P. Hazdiuk
Olga Y. Tarnovetska
Krystyna M. Dmytrashchuk
Oleksandr O. Val
Yurii A. Nikitin
2025-12-29
Updated: 2025-12-29
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