Call for Papers (MAM10)
We are delighted to announce the Tenth International Conference on Matrix-Analytic Methods in Stochastic Models (MAM10). The meeting will be held at the University of Tasmania in Australia during February 13-15, 2019.
Søren Asmussen, Jevgenijs Ivanovs, Giang Nguyen, Zbigniew Palmowski, and Phil Pollett.
Australian Mathematical Sciences Institute (AMSI), ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Australian Laureate Fellow Professor Peter Taylor, Professor Andrew Bassom.
MAM10 aims to bring together researchers working on the theoretical, algorithmic and methodological aspects of matrix-analytic methods and the applications of such methods across a broad spectrum of research fields.
MAM10 provides an international forum for:
- Presenting recent results on theory, algorithms and applications of matrix-analytic methods;
- 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.
Informal proceedings comprised of the accepted abstracts will be distributed at the conference.
The organising committee is currently negotiating with the publishers of Stochastic Models, with a view to reserve a Special Issue of the journal to papers associated with MAM10. Research results presented at the conference can be submitted to that Special Issue, which will undergo an independent evaluation process according to the regular standards of Stochastic Models.
Short abstract submission deadline – October 8, 2018
Extended abstract submission deadline – November 15, 2018
Special issue submission deadline – June 1, 2019
For full details, including LaTeX templates, please refer to the conference website.
Malgorzata O'Reilly, University of Tasmania, Australia
Sophie Hautphenne, University of Melbourne, Australia
Federico Poloni, University of Pisa, Italy
The Institute for Operations Research and the Management Sciences
phone 1 443-757-3500
phone 2 800-4INFORMS (800-446-3676)