Matrix-Analytic Methods in Stochastic Models (MAM) conferences aim to bring together researchers working on the theoretical, algorithmic and methodological aspects of matrix-analytic methods in stochastic models and the applications of such mathematical research across a broad spectrum of fields, which includes computer science and engineering, telephony and communication networks, electrical and industrial engineering, operations research, management science, financial and risk analysis, bio-statistics, and evolution.

The conference will provide an international forum for:

    • Presenting recent results on theory, algorithms and applications concerning matrix-analytic methods in stochastic models;
    • Discussing methodologies and the related algorithmic analysis;
    • Improving collaborations among researchers in applied probability, engineering and numerical analysis;
    • Tracing the current state of the art and the lines of the future research, pointing out the main topics of interest.
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