Sirius University accepts applications for the following fall programs:

1. Inverse Ill-Posed Problems and Machine Learning

The purpose of the course: to discuss the most important achievements of the theory and numerical methods for solving inverse and incorrect problems and their applications, to exchange experience in the application of numerical methods for solving inverse and incorrect problems in the natural sciences, as well as to train young scientists and specialists in the use of the latest achievements and algorithms for solving inverse and incorrect problems using neural networks, machine learning, analysis and processing of big data based on artificial intelligence methods.

Places for selection: 50

Dates: September 4-8, 2023

Program Manager: Sergey Kabanikhin

Teachers: Olga Krivorotko, Nikita Novikov, Alexander Shananin, Maxim Shishlenin.

Who can participate: senior students studying in physical and mathematical fields of study, as well as graduate students of mathematical specialties.

2. Approximation, Expansions and Computer Science

The purpose of the course: to discuss recent results in multidimensional approximation and related problems. The following topics will be discussed: approximation in smooth functional spaces, approximation by hyperbolic crosses, orthogonal series, Banach spaces, learning theory, compressed measurements. Participants will be able to present their research and exchange ideas.

Submission deadline: September 10, 2023

Places for selection: 20

Dates: September 19-23, 2023

Organizers: Vladimir Temlyakov, Alexey Solodov, Vladimir Podolsky, Boris Kashin, Sergey Konyagin, Peter Borodin, Olga Kudryavtseva.

Who can participate: senior students studying in the physical and mathematical fields of study, as well as graduate students of mathematical specialties.

3. Data Analytics, Networks and Approximation

Purpose of the course: to develop the fundamental foundations of network analysis and their connections with modern empirical and engineering approaches. Applications of network models in data analysis and machine learning will be considered, as well as the approximation aspect of network models, which is crucial in computer modeling. The program includes lectures, reports and special sessions with reports by young researchers.

Submission deadline: September 3, 2023

Places for selection: 20

Dates: October 2-6, 2023

Organizers: Alexander Aptekarev, Panos Pardalos, Valery Kalyagin, Vladimir Lysov.

Who can participate: senior students studying in physics and mathematics and IT areas of training, as well as graduate students of mathematical and IT specialties.

To participate in each program, you need to fill out an application, details can be found at the links. Sirius provides a limited number of grants for undergraduates and postgraduates to pay for travel or flights to participate in the conference in case of successful selection and an official refusal to request payment for travel signed by the head (or other authorized person) of the educational organization. Please note that students and postgraduates can participate in conferences and project shifts no more than 2 times a year.