9 teachers including 3 professors, 5 associate professors. 1 assistant. Among them are 4 doctors of sciences and 5 PhDs.
The employees of the department read 25 regulatory courses.
The Department of Systems Analysis and Decision Theory was founded in 1988
|Full name:||Office||Research interests|
|Prof. Oleksandr G. Nakonechniy||307||problems of decision making under conditions of uncertainty and problems of system analysis processes of different nature|
|Prof. Sergej O. Mashchenko||403||theory of decision-making, decision-making in conflict, uncertainty and fuzzy information.|
|Prof. Eugen V. Ivohin||404||studying the stability of dynamical systems, methods of internal support decision-making and development of implementation of automated information systems using databases.|
|Assoc. Prof. Galyna O. Dolenko||403||system optimization, management methodology development of socio-economic systems.|
|Assoc. Prof. Petro M. Zinko||604||development of numerical algorithms for solving stochastic min-max problems, development of algorithms for identification of dynamic objects, the development of numerical methods for solving the problems of the Cauchy boundary value problems, which are based on the theory of solving operators, the development of modeling the spread of the air pollution in aquatic environments, the use of algorithms theory of solving operators in medicine and ecology.|
|Assoc. Prof. Olena A. Kapustian||402||problems of minimax estimation and prediction, system analysis and decision making theory, optimal control theory.|
|Assoc. Prof. Serhii M. Ivanov||403||Dynamical system modelling and stability investigation; fractal dimension analysis; differential equations on a compact smooth manifold; application of eigenvalues of square matrices; development of fundamentally new models of knowledge representation; decision making under uncertainties; nonlinear dynamics.|
|Assoc. Prof. MYKHAILO F. MAKHNO||403||information technologies, fuzzy linear programming problems|
|Assistant IULIIA M. SHEVCHUK||403||Minimax estimation theory, modeling of nonlinear processes|