News and events

The Thematic semester aims to organize a conference, a thematic school, and a lecture series to connect Vietnamese and international mathematicians, and to train participants working in graph theory and related fields. Through invited talks, lectures, and specialized discussions, the activities focus on exchanging recent results and emerging research directions in graph theory, as well as its connections with algorithms and data science; at the same time, they reinforce important knowledge and modern methods of graph theory.

The CRM opens an annual call for CRM Intensive Research Programmes (IRP) approximately two years in advance. The CRM started organising IRPs in 2003 and has held two to three per year since then. Each programme consists of a number of resident researchers, from junior to senior, and at least two scientific events (workshops, advanced courses, and conferences).

The CRM opens an annual call for CRM Intensive Research Programmes (IRP) approximately two years in advance. The CRM started organising IRPs in 2003 and has held two to three per year since then. Each programme consists of a number of resident researchers, from junior to senior, and at least two scientific events (workshops, advanced courses, and conferences).

The CRM opens an annual call for CRM Intensive Research Programmes (IRP) approximately two years in advance. The CRM started organising IRPs in 2003 and has held two to three per year since then. Each programme consists of a number of resident researchers, from junior to senior, and at least two scientific events (workshops, advanced courses, and conferences).

The CRM opens an annual call for CRM Intensive Research Programmes (IRP) approximately two years in advance. The CRM started organising IRPs in 2003 and has held two to three per year since then. Each programme consists of a number of resident researchers, from junior to senior, and at least two scientific events (workshops, advanced courses, and conferences).

This Thematic Month aims to cover topics related to singularity theory of algebraic or analytic spaces, algebraic study of differential equations, and their applications to questions of transcendence.

The interface of mathematics with computer science form a large, diverse and rich landscape. Of course, many classical mathematical tools and concepts turn out to be very useful to answer questions arising from computer science. Besides, the core objects of computer science (typically discrete) that were once considered non-classical in mathematics have now a well-established and growing theory. In addition, the main ideas of computer science (the very notions of computation and algorithmic complexity) yield new points of views and new questions on many mathematical objects.

Scientific Machine Learning (SciML) is a relatively new research field based on both machine learning (ML) and scientific computing tools. Its aim is the development of new methods to solve several kinds of problems, which can be forward multidimensional partial differential equations, identification of parameters, or inverse problems. The methods we seek must be robust, reliable and interpretable. The new SciML tools allow the natural inclusion of data in the numerical simulation in order to generate new results.

The thematic month “Arithmetic and Information Theory” focuses on arithmetic geometry, information theory and their interplay.