Prof. Srinivas Chakravarthy

Kettering University, Flint, USA

Matrix-analytic methods in stochastic modeling

Abstract. In this talk we will present an overview of matrix-analytic methods in stochastic modeling and also discuss a few examples using such methods. Matrix-analytic methods were introduced by Neuts in the 1980s and these have been applied to study many stochastic models since then. Recently, I published a 2-volume book on this topic to enable students and practitioners to implement the methods to study stochastic models of interest in practice, and the presentation will be based on this publication.

Plenary Speakers

Prof. Roman A. Polyak
George Mason University, USA
Prof. Srinivas Chakravarthy
Kettering University, Flint, USA
Prof. Arkadii Chikrii
V. M. Glushkov Institute of Cybernetics, Kyiv, Ukraine
Prof. Boris S. Mordukhovich
Wayne State University, Detroit, USA
Prof. Janusz Kacprzyk
Warsaw University of Technology, Poland
Prof. Yedilkhan Amirgaliyev
Institute of Information and Computing Technologies, Almaty, Kazakhstan
Prof. Adil Bagirov
Centre for Smart Analytics, Institute of Innovation, Science and Sustainability, Federation University Australia, Australia
Prof. Rza Bashirov
Eastern Mediterranean University, Turkey
Prof. Refail Kasimbeyli
Eskişehir Technical University, Türkiye
Prof. Agasi Melikov
Institute of Control Systems, Ministry of Science and Education, Azerbaijan
Prof. Mais Farkhadov
Institute of Control Sciences of RAS, Russia