The European Mathematical Society

This conference aims at bringing together functional analysts, mathematical physicists, experts of dynamical systems, and probabilists who have research interests in graph theory, networks, complex systems, and/or random walks. It will ideally follow the path of previous meetings on differential equations on networks held in the past years in Blaubeuren (Germany) and Castro Urdiales (Spain) as well as the QGraph meeting series that has taken place in several German and Swedish venues since 2009.

The conference will be tentatively organized in four daily sessions on

The ATCM conferences are international conference addressing technology-based issues in all Mathematical Sciences. The 17th ATCM December 16-20, 2012 was held at SSR University, Bangkok, Thailand . About 400 participants coming from over 30 countries around the world participated in the conference. For more details see http://atcm.mathandtech.org/

You find here the announcement of the International Conference on Advances in Applied Mathematics ICAAM-2013
which will be held at Hammamet (Tunisia) on 16-19 December 2013.

This workshop is to commemorate the 60th birthday of Manuel de León. Manuel de León is one of the most important researchers on geometric mechanics. It is worth highlighting his contributions on a wide range of topics such as symplectic geometry, Poisson manifolds, nonholonomic mechanics, Cosserat media, geometric integrators, optimal control theory, among many others. Another facet that makes Manuel de León well-known is his intense dedication to the diffusion of mathematics and his role in mathematical organizations at the international and national levels, including the International Mathematical Union (IMU) and the Real Sociedad Matemática Española (RSME). One could keep going by emphasizing his work on the didactics of mathematics, its popularization, edition and direction of scientific journals, and many other facets. The sum of all these contributions makes Manuel de León deserve this tribute.

The mathematical theory and practice of cryptography and coding underpins the provision of effective security and reliability for data communication, processing and storage. Theoretical and practical advances in the fields of cryptography and coding are therefore a key factor in facilitating the growth of data communications and data networks of various types. Thus, this fourteenth International Conference in an established and successful IMA series on the theme of "Cryptography and Coding" is both timely and relevant.

3rd International Conference on Mathematics & Information Science (ICMIS 2013), will be held in Luxor, Egypt, 28-30 Dec. 2013 and will feature advances in Mathematical science and technology presented by leading African and international researchers. The conference will provide the opportunity to showcase research in mathematics, theoretical physics and information science and technology to engender dialogue and collaboration between Egyptian and international researchers.

Mathematical models have been giving remarkable contributions in advancing knowledge and supporting decisions in several branches of medicine.

Some progress in applying predictive mathematical tools has been made, for example: surgical planning of the Total Cavopulmonary Connection in cardiac pediatrics is, in some hospitals, based on extensive numerical simulation. However, despite the significance, the impact of predictive modeling in the routine medical treatment falls behind.

An International Symposium on Orthogonality, Quadrature and Related Topics. In memory of Pablo González Vera (1955/2012).

The Department is organizing International Conference on Recent Advances in Mathematics (ICRAM 2014 ) to celebrate its Golden Jubilee during 20-23rd January, 2014. The conference schedule includes plenary talks, invited talks on current areas of research followed by large number of paper and poster presentations. The main aim of the conference is to promote, encourage, discuss the latest developments and research in the field of Mathematics and its applications and bring together researchers in the different fields.

The study of computational problems on graphs has long been a central area of research in computer science. However, recent years have seen qualitative changes in both the problems to be solved and the tools available to do so. Application areas such as computational biology, the web, social networks, and machine learning give rise to large graphs and complex statistical questions that demand new algorithmic ideas and computational models. At the same time, techniques such as semidefinite programming and combinatorial preconditioners have been emerging for addressing these challenges.

Semidefinite programming is playing an ever increasing role in many areas of computer science and mathematics, including complexity theory, approximation algorithms for hard graph problems, discrete geometry, machine learning, and extremal combinatorics.

This workshop will bring together researchers from these different fields. The goal is to explore connections, learn and share techniques, and build bridges.

The venue is at the University of Ulm. In the tradition of the previous conferences, this meeting provides an international forum for presentation and discussion of new results in the area of probability and statistics. The plenary speakers of the conference will be:

Jianqing Fan (Princeton)
Geoffrey Grimmett (Cambridge)
Jean-François Le Gall (Paris)
Alexandre Tsybakov (Paris)

Random graphs, stochastic processes on graphs and algorithms for computations on these structures continue to play a dominant role in algorithmic research and discrete mathematics, with recent applications ranging from web search and recommendation engines to social networks and system biology.

Spectral graph theory, which studies how the eigenvalues and eigenvectors of the graph Laplacian (and other related matrices) interact with the combinatorial structure of a graph, is a classical tool in both the theory and practice of algorithm design. The success of this approach has been rooted in the efficiency with which eigenvalues and eigenvectors can be computed, and in the surprisingly large number of ways that a graph's properties are connected to the Laplacian's spectrum---particularly to the value of its second smallest eigenvalue, λ2.

Most systems targeted by mathematical modeling in modern science and engineering are fundamentally multi-physical and multi-scale in nature. As such, they involve solving complex coupled, generally nonlinear, systems of partial differential equations (PDEs) built from subsystems of PDEs that mathematically model very different physical processes, often at very different scales.