Structural Units
Department of Modeling Theory
Ph.D. Davydenko A.M.
The main scientific direction of the department’s work is:
• theory of modeling and analysis of information security subsystems in automated and telecommunication systems.
Department of Mathematical and Computer Modeling
Ph.D. Dusheba V.V.
The main scientific direction of the department’s work is:
• theoretical and applied aspects of the development and application of computer science and computer technology in the energy;
• modeling and automation of the design of functionally-oriented computing systems and devices;
• development of new information technologies and systems of high resolution of ultrasound diagnostics of materials and objects of energy.
Department of Mathematical and Econometric Modeling
Dr. Sci. (Tech) Chemerys O.A.
The main scientific direction of the department’s work is:
Design and development:
• specialized multiprocessor architectures;
• software complexes of automatic parallelization of algorithms and task planning for multiprocessor computer systems; software systems for the automated design of digital computing devices based on high-level languages VHDL, C / C ++, etc .;
• specialized computing and control devices based on programmable logic microcircuits.
Laboratory of Mathematical Modeling of Energy Markets
Ph.D. Evdokimov V.A.
Main scientific work direction of the Laboratory:
development of modeling and forecasting tools for scenario impacts, effective and comfortable implementation of energy sector reforms, the introduction of new management methods: the use of both regulatory and managerial decisions, the introduction of new effective and competitive principles for organizing the work of participants, determining their behavior in the relevant market segments.
Department of Modeling of Energy Processes and Systems
Dr. Sci. (Tech) Vynnychuk S.D.
The main scientific direction of the department’s work is:
• research and development of methods and means of modeling and automated design of heat energy and gas-liquid systems of power equipment of mechanical engineering objects;
• methods and means of logical conclusion on and / or networks and their application in intelligent systems of making operational decisions;
• new methods and means in electronic cartography.
Department of Hybrid Modeling and Control Systems in Energy Engineering
Corresponding member of NAS of Ukraine Vasyliev V.V.
Main scientific direction of work of the department:
• development of new numerical-analytical methods of digital signal processing, analysis, identification and modeling of dynamic systems with integro-differential operators of non-integer orders;
• development and research of approximation-operating methods of control of dynamic systems of non-integer orders;
• methods of mathematical and computer modeling of nonlinear electronic circuits and structures with fractal elements;
• сomputer simulation of processes in energy engineering.
Non-structural Units
Thematic Group of Modeling of Power Systems
Dr. Sci. (Tech) Saukh S.E.
The main scientific direction of the thematic group is:
• fundamental research in the field of theory, methods of constructing and analyzing mathematical models and algorithms for modeling objects of electric power engineering on the basis of the achievements of theoretical electrical engineering and computing methods.
Thematic Group of Modeling of Dynamic Systems
Corr. member of NAPS of Ukraine Verlan A.F.
The main scientific direction of the thematic group is:
• creation of computer simulation methods and means for solving the problems of analysis, identification, synthesis and management in the study and design of energy processes and objects, as well as other classes of dynamic systems.
Thematic Group of Specialized Simulation Tools
Corr. member of NAS of Ukraine Mokhor V.V.
The main scientific direction of the thematic group is:
• creation of specialized hardware and software for information processing in the tasks of informatization and automation of processes of technical, technological and organizational management.
Thematic Group of Technical Diagnostics
Ph.D. Vladymyrsky O.A.
The main scientific direction of the thematic group is:
Methods, hardware and software for control and diagnostics of power and energy-consuming equipment:
• diagnostics of electric machines;
• pipeline diagnostics;
• thermometric monitoring;
• measurement of the parameters of motion;
• metrological support.
Thematic Group of Modeling of Organizational Management Systems
Ph.D. Borukaev Z.Kh.
The main scientific direction of the thematic group is:
• numerical simulation of nonstationary interconnected electromagnetic, thermal and hydrodynamic processes in electromagnetic systems;
• development of information and analytical systems for monitoring the indicators of production and economy for computer systems of organizational management in power engineering;
• development of computer systems of organizational management in power engineering, as informational and analytical systems for support of making managerial decisions.
Thematic Group of Environmental Analysis and Forecast
Dr. Sci. (Tech) Yatsyshyn A.V.
The main scientific direction of the thematic group is:
• mathematical modeling of technogenic loads on ecological and socio-ecological systems;
• development of methods for analysis and visualization of medical-ecological monitoring data using modern GIS technologies;
• mathematical and cartographic modeling of the influence of man-made objects on the atmosphere and the identification of high-risk areas;
• development of information and analytical systems for the solution of the problems of medical-ecological monitoring in conditions of high risk using modern GIS technologies;
• integrated environmental pollution assessment in the form of multidimensional integrated environmental indicators and integral risks; • system analysis of the integrated impact of man-made loads on ecosystems, on human health.
Thematic Group of Simulation
Dr. Sci. (Tech) Samoylov V.D.
The main scientific direction of the thematic group is:
• research and development of computer technologies for the creation of training, teaching and diagnostic tools for the preparation and control of knowledge of specialists in the fields of fuel and energy complex and other branches of the national economy.