Flyer to download

The Ninth International Conference on Matrix-Analytic Methods in Stochastic Models

The Ninth International Conference on Matrix-Analytic Methods in Stochastic Models (MAM9) will be held in Budapest, Hungary, from June 28-30, 2016.

MAM9 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. MAM9 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.

Scope & topics

The scope of the conferece includes the following topics:

  • Methodology
  • General Theory
  • Computational Methods
  • Computer Experimentation
  • Queueing Models
  • Networks and Telecommunications Modelling
  • Spatial Processes
  • Reliability Problems
  • Risk Analysis
  • Producation and Inventory Models
  • Mathematical Finance
  • ...

Contributions from various other disciplines in which stochastic modelling plays a role are welcome as well.

Paper submission

Authors are invited to submit extended abstracts / research reports (typically 2 pages, at most 4 pages) and full papers (at most 8 pages) using the standard ACM format (refer to standard ACM templates) through the easychair Paper Submission System:

Authors of accepted extended abstracts who are interested in the publication of a full paper in the conference proceedings can submit a complete version of the paper. The conference will include presentations of these accepted papers or extended abstracts as well as poster presentations of research reports including early research results, methodological comparisons, open problems, future directions, and so on. An informal proceedings comprised of accepted full papers or extended abstracts and research reports will be distributed at the conference.

After the conference a Special Issue of the journal of Stochastic Models is going to be devoted for papers associated with MAM9. Research results presented at the conference can be submitted to that Special Issue, which will implement an independent evaluation process according to the regular standard of Stochastic Models.

Important Dates:

Registration starts: February 1, 2016
Abstract submission: February 15, 2016
Notification of abstract acceptance: March 1, 2016
Full version submission deadline: April 15, 2016
Notification of research reports acceptance: May 1, 2016
Early registration ends: May 15, 2016
Feedback for full papers: May 15, 2016
Camera ready submission: June 1, 2016
Conference: June 28-30, 2016
Special issue submission deadline: Sept. 15, 2016

Organising committee:

Conference chair: Gábor Horváth
(ghorvath [at] hit [.] bme [.] hu)
Program co-chairs: Qi-Ming He, University of Waterloo, Canada
Miklós Telek, Technical University of Budapest, Hungary
Publicity chair: András Horváth, University of Turin, Italy
Local organization: András Mészáros, Technical University of Budapest, Hungary
Illés Horváth, MTA-BME Information systems research group, Hungary

Steering committee

Attahiru S Alfa, University of Manitoba, Canada
G Latouche, Universite Libre de Bruxelles, Belgium
Peter Taylor, University of Melbourne, Australia
V. Ramaswami, Statmetrics, LLC, United States

Program Committee

Ivo Adan (Eindhoven University of Technology, Netherlands)
Soohan Ahn (The University of Seoul, Korea)
Attahiru Alfa (University of Manitoba, Canada)
Florin Avram (Universite de Pau, France)
Nigel Bean (The University of Adelaide, Australia)
Mogens Bladt (Universidad Nacional Autonoma de Mexico)
Peter Buchholz (TU Dortmund, Germany)
Giuliano Casale (Imperial College London, UK)
Srinivas Chakravarthy (Kettering University, USA)
Tugrul Dayar (Bilkent University, Turkey)
Steve Drekic (University of Waterloo, Canada)
Dieter Fiems (Ghent University, Belgium)
Antonio Gomez-Corral (Complutense University of Madrid, Spain)
András Horváth (University of Turin, Italy)
Bara Kim (Korea University)
Udo Krieger (Universität Bamberg, Germany)
Achyutha Krishnamoorthy (Cochin University of Science and Tech., India)
Guy Latouche (Université Libre de Bruxelles, Belgium)
Ho Woo Lee (Sungkyunkwan University, Korea)
Quan-Lin Li (Yanshan University, China)
Beatrice Meini (University of Pisa, Italy)
Masakiyo Miyazawa (Tokyo University of Science, Japan)
Bo Friis Nielsen (Technical University of Denmark)
Takayuki Osogami (IBM Research – Tokyo, Japan)
Antonio Pacheco (Instituto Superior Tecnico, Portugal)
Juan Perez (The University of Melbourne, Australia)
Vaidyanathan Ramaswami (Statmetrics, LLC, USA)
Gerardo Rubino (INRIA/IRISA, France)
Mark Squillante (IBM Research, USA)
David Stanford (University of Western Ontario, Canada)
Tetsuya Takine (Osaka University, Japan)
Peter Taylor (The University of Melbourne, Australia)
Benny Van Houdt (University of Antwerp, Belgium)
Hanqin Zhang (National University of Singapore)
Yiqiang Zhao (Carleton University, Canada)