Scientific schools

Scientific School of System Analysis, Decision Making and Mathematical Modeling of Socio-Economic Systems

The scientific school successfully combines fundamental and applied research areas, such as: the creation and research of mathematical models of development for: territorially distributed urban and regional systems of various level and appointment; management of group people behavior; methods of planning and management decision-making under uncertainty and multicriteriality; development of complex systems for regional government; creation of the distributed information systems on the ground of computer networks, intellectual decision support systems, including ones using mathematical models and methods of combinatorial optimization and generation, creation of corresponding software and hardware. 

The scientific school was founded in 1976 at the department of theoretical cybernetics (now department of Systems Engineering) by Prof. I.V. Kuzymin and  Prof. E.G. Petrov. 

Prof. I.V. Kuzymin occupied position of rector of theVinnytsiaNationalTechnicalUniversitysince 1976, then worked in various positions in the Vinnytsia NTU, now he works as professor of university. 

Prof. E. G. Petrov in 1976 – 2013 worked as the head of Systems Engineering department, from 1985 to 1991 – the vice rector for Scientific Work of HNURE, from 2001 to 2003 – the dean of faculty of Computer Sciences.  He passed away 20.02.2015. 

E. G. Petrov is well known inUkraineand abroad scientist, the author of more than 175 scientific works. Among them there are 19 scientific monographs and textbooks, 5 copyright certificates on inventions. 

Now at department of System Engineering under the leadership of the head of department prof. I.V. Grebennik pupils and followers of I. V. Kuzmin and E. G. Petrov perform works in the scientific direction. Among them: 

Development of mathematical models and methods of reengineering of territorially distributed objects topological structures, the research supervisor Prof. V. V. Bezkorovainyi.

Generation of combinatory configurations and combinatory optimization in problems of geometrical design, routing and mathematical modeling of a sustainable development of social and economic systems, the research supervisor Prof. I. V. Grebennik 

Development of mathematical models of implementation of the concept of a sustainable development of social and economic systems, research supervisors Associate Professor V.P. Pisklakova, Associate Professor E.V. Gubarenko. 

Well-known representatives of the Research School are the following: Prof. I.V. Kuzmin, Prof. E.G. Petrov,  Cand. Sc. (Technology), Prof.  B.E.  Kukharev, Cand. Sc. (Technology), Prof. V.V. Evseev, Prof. V.M.  Kuzmenko, Cand. Sc. (Technology), Associate Professor E.A. Sukesov, Prof.  L.I. Nefedov, Cand. Sc. (Technology), Associate Professor V.P.  Pisklakova, Prof. S.I, Chaynikov, Prof. A O. Ovezgeldyev, Prof. V. V. Bezkorovainy, Prof. I.V. Grebennik, Prof. V.G. Ivanov etc.

During recent 10 years such projects were developed: 

  • Concept of informatization of the Kharkiv region;
  • Technical project for start-up complex of the Government Information Management System Disaster Prevention;
  • Technical design of an automated system for recording, processing, and control the passage of mail on theterritoryofUkraine;
  • The concept of a National Integrated Information Management System control of moving objects.

Scientific School of Methodologies, Methods and Information Technology Development of Integrated and Web-Based Information Systems

Now the scientific school solved the fundamental and applied problems in the field of theoretical and methodological fundamentals of creating complex computer-integrated systems, complex systems and the integration of their elements, to create automated tools to support management decisions, adaptive integrated enterprise management systems, principles of design information and control systems.

Kharkov Scientific School of Meteor Radar

The scientists developed the first school system Radar registrations of meteors in the Ukraine. Since 1957, the team developed several generations of meteor radar stations, and the theory of meteor phenomena and methods of observation and data processing approaches to the interpretation of results. For almost 50 years advanced applied aspects of meteor radar, use its results in geophysics and astronomy, communications, synchronization of time scales and frequencies.

Разработка мультимедийных стрелковых тренажеров

Работы проводятся кафедрой «Радиоэлектронные системы» совместно с  Учебно-техническим телевизионным центром. Разработаны метод дистанционного бесконтактного определения координат точек попадания в видеомишени и технология создания интерактивных видеофильмов для тренажеров. Ссылка на проект.

Scientific School of Bionic Intelligence

The main research field presents oneself the foundation of new a generation of computer equipment, that mathematical describes the patents of nature, the development of brain-like-computers, whose performance significantly exceed the performance of current computer systems.

Scientific School of Applied Electrodynamics

The school works on researches concerning the wide complex of problems connected with theory and technology of antennas and diffusion of radio waves: statistic theory of antennas, adaptation of antenna arrays, streamlined antenna covers, antenna measurement, nonlinear element antennas, diagnostics of phased arrayed antennas, tropospheric and ionospheric horizon propagation radar, the Earth influence on the radar light of sight.

Scientific School of Radiofrequency and Infrared Diagnostics of Materials, Environments and Objects

The main research field presents oneself the foundation of new methods and technical facilities for physical and technical diagnostics of functional material in different industries, including agribusiness and biotechnology.

Scientific School of Intelligent Processing of Information

The school was founded 1975 by DScTech. O.G. Rudenko. The scientists first developed theories and methods of designing specialized computers for rapid processing of large data arrays, based on a neural network approach, spline-fitting and functional recovery, which provides an opportunity to create new a generation of computer structures.