Cuba

The proposed school lies within the framework of the Europe-Latin America Network in Applied Mathematics (REALMA) whose objective is the development of a structured program of cooperation including

• mobility of researchers, teachers and students,
• common programs of education and research,
• e-learning, on line documentation,
• organisation of conferences and thematic schools. 

The school will enable the Faculty of Mathematics and Computer Science of  the University of Habana  to naturally fit into REALMA.

Mathematical modelling in biology and analysis of the resulting equations
are a main challanging scientific problem. This domain interests an increasing
mathematical community in the world as well as biologists, doctors, engineers
in environmental science for their possible applications. The various recent PDE
methods and the last most significant progress in this domain need to be exchanged
and developed with Cuba and other countries of the Caribbean area.
The school aims at presenting some of the current approaches in PDE modelling

The research school " Spatial Statistics : Extreme Value and Epidemiology " is intended to present the theory of spatial statistics and its applications to extreme values ​​and epidemiology .

This school is suited for students, PhD students, researchers and non-specialist practitioners, having a good background in statistics, who want to direct their research on spatial statistics in particular spatial extremes and spatial epidemiology.

The courses will focus on the foundations of spatial statistics and their applications:

This CIMPA School will introduce participants to selected topics of Mathematics with direct applications in privacy and security issues. The presentations will include the necessary background in order to understand the main concepts, as well as many motivating examples of the application of these topics to particular security and privacy issues, together with open problems in the corresponding areas. The aim is to motivate a group of bright students to continue working in those areas at the doctoral or postdoctoral level.

Mathematical modeling and computer simulation tools have been growing enormously in the fields of mathematics and physics applied to biophysics, biology, biochemistry and bioengineering. The reasons for this large attention of the mathematical community are multi-faceted. Among them, the mathematical modeling in biology and medicine is one of the most important challenges of mathematics applied to scientific problems. It has been shown to be a substantial tool for the investigation of complex biophysical phenomena, such as cancer.

The objectives of this school are to introduce the participants to mathematical tools, in particular arithmetic, algebraic and geometric ones used in certain recent developments in algebraic Coding Theory , Cryptography and related areas. These directions are in full development and represent an extremely rich research area open to the applications.

The school aims at presenting some of the current approaches in PDE modelling and mathematical analysis of biological phenomena or related domains. It aims at allowing the researchers and the students of Master’s degree level and talented undergraduate students to acquire a basic training in that field and to have an overview of what is the current research status of these types of problems.

CIMPA-2020 is addressed for researchers and students (postgraduate/undergraduate) to acquire a training in the field of mathematics applied to medicine. A wide class of mathematical models and applications in issues related to tumor growth, population dynamics, pattern formation and their implications in developmental cancer biology will be developed.

CIMPA-2020 is addressed for researchers and students (postgraduate/undergraduate) to acquire a training in the field of mathematics applied to medicine. A wide class of mathematical models and applications in issues related to tumor growth, population dynamics, pattern formation and their implications in developmental cancer biology will be developed.

In modern medicine, reliable computer simulation and medical imaging which are based on mathematical algorithms and numerical methods gain significantly importance for diagnosis and individualized therapies. In order to keep up with these developments it is of utmost importance to provide state-of-the art tertiary education and training in these important