Information Systems Group
Department of Systems Science, Graduate School of Informatics, Kyoto University
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For optimal decision-making under uncertainty
We explore methodologies for making "optimal" decision making in information and service systems with uncertainty caused by competition among an unspecified number of users, through applied probability, queueing, statistics, optimization, game theory, etc.

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Research Topics

Ergodic analysis, asymptotic analysis and numerical methods of Markov chains, and their
    applications to queueing systems and stochastic algorithms

Stopping criteria and performace evaluation of approximate algorithms for combinatorial
    optimization problems through extreme value theory*
    *This is a collaboration with Dr. Dan Hiroshige (Kansai Univ., JP) and Dr. Shunji Umetani (Osaka Univ., JP).

Stochastic modeling and performance analysis of information and service systems