Yurii Yermoliev profile picture

Yurii Yermoliev

Emeritus Research Scholar

Cooperation and Transformative Governance Research Group

Advancing Systems Analysis Program

Emeritus Research Scholar

Exploratory Modeling of Human-natural Systems Research Group

Advancing Systems Analysis Program


Yuri Ermoliev, from the Glushkov Institute of Cybernetics, Kiev, Ukraine, came to IIASA in October 1991 to work on advanced methods for proper treatment of endogenous uncertainty and catastrophic risks in decision-making processes; continues to be the Institute Scholar but contributes his research to the Integrated Modeling Environment Project.

Professor Ermoliev graduated from Kiev State University, Department of Mathematics in 1960. He received his Ph.D. in applied mathematics in 1964 from the same university. Professor Ermoliev was the recipient of the State Award in Science of the Ukraine (1978) and the State Award in Science of the USSR (1981). He has been a Member of the Ukrainian Academy of Sciences since 1988.

Professor Ermoliev has been Head of the Department of Mathematical Methods of Operations Research at the Institute of Cybernetics of the Ukrainian Academy of Sciences, Kiev, since 1969. He was first employed with IIASA in the System and Decision Sciences Program from 1979 to 1984, undertaking research in non-differentiable and stochastic optimization problems. In 1991 he was a visiting professor with the University of California at Davis.

Professor Ermoliev's scientific interests are modeling of decision-making processes in the presence of risks and uncertainties, stochastic and dynamic systems optimization, optimization on networks, and nonlinear dynamics. His major publications include Stochastic Programming Methods (1976), Stochastic Models in Economics (1979), and Techniques for Stochastic Optimization (1988). Other publications concern the study of path-dependent adaptation processes, pollution control problems, energy and agriculture modeling, reliability theory, and optimization of discontinuous systems, in particular, discrete event systems optimization.

Last update: 20 DEC 2019