Information Systems Group
Department of Systems Science, Graduate School of Informatics, Kyoto University
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For optimal decision-making in information and service systems
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

Stochastic modeling and performance analysis of information and service systems

Computational probability theory (Numerical/simulation methods associated with Markov chains)

Stopping criteria and performace evaluation of approximate algorithms for combinatorial
    optimization problems through extreme value theory*
    *This is a collaboration with Dr. Dan Hiroshige, who is an associate professor at Kansai University (Osaka, Japan).