The 12th International Conference on Matrix-Analytic Methods in Stochastic Models
The Matrix-Analytic Methods in Stochastic Models (MAM) conference is a leading multidisciplinary conference that serves as a platform for researchers from various disciplines within engineering, mathematics, and the sciences. It brings together scholars who may not typically attend the same conference venues yet make considerable use of matrix-analytic methods in their work, thus fostering collaboration and communication across different fields. By bridging the gaps between various areas of study, including (but not limited to) computer and communication systems, healthcare, mathematical biology, queueing and reliability theory, the MAM conference encourages interdisciplinary engagement and meaningful exchanges of ideas in the interest of facilitating the creation of new, innovative research among participants. Attending the MAM conference allows researchers to stay updated with the latest advancements, engage with experts and peers, and build connections that may lead to fruitful collaborations in various domains.
Organizers:
Organizing co-chairs:
Dr. Amir Rastpour (Ontario Tech University)
Dr. Yiqiang Zhao (Carleton University)
Program co-chairs:
Dr. Brian Fralix (Clemson University)
Dr. Federico Poloni (University of Pisa)
Special Issue:
After the conference, speakers will have the option to submit their full papers for publication in a special issue of Performance Evaluation (PEVA). You can find the timeline for publication in the special issue here.
Registration and funding support:
You can find all the required information and access the registration form here.
Sponsors:
The MAM 12 conference is generously sponsored and supported by the Fields Institute for Research in the Mathematical Sciences. You can learn about the Fields Institute here.