Events

The Faculty of Mathematics and Mechanics of the Yerevan State University, in collaboration with CREST/ENSAE and Ecole Polytechnique, Paris, is organizing a Summer School on Statistics and Learning Theory, which will be held on July 9 – 15, 2023 in Tsaghkadzor. The target audience of the school are university undergraduate senior, master and PhD students and researchers, as well as industry people interested in Statistics and applications. Lectures will be in English.

This event is the premier maintenance and reliability modelling conference in the UK and builds upon a very successful series of previous conferences. It is an excellent international forum for disseminating information on the state-of-the-art research, theories and practices in maintenance and reliability modelling and offers a platform for connecting researchers and practitioners from around the world.

The EMS Education Committee announces the organization of its second Mathematics Summer School for talented/gifted students in mathematics. The purpose of this Summer School is to give an opportunity to high ability students to develop further knowledge and competences in post-secondary education mathematics and to support their way to mathematics careers. The exact mathematics content of the Summer School Programme will be announced in the coming weeks and will include 7-8 modules in pure and/or applied mathematics and will challenge participants with advanced level mathematics learning, mathematical projects, mathematics communication practice and mathematical debates between student participants.

Scientific Directors: Claudio Agostinelli, Univ. Trento, Italy Massimo Fornasier, Technical Univ. Munich, Germany Lorenzo Rosasco, Univ. Genova and IIT, Italy, and MIT, USA Rebecca Willett, University of Chicago, USA Lectures: Philippe Rigollet, MIT, USA - An optimization perspective on sampling Lorenzo Rosasco, Univ. Genova and IIT, Italy, and MIT, USA. - Regularization Approaches to Machine Learning Carola-Bibiane Schönlieb, Univ. Cambridge, UK - Data-driven approaches to inverse problems Joel Tropp, Caltech Pasadena, USA - Randomized algorithms for linear algebra Stephen Wright, Univ. Wisconsin, USA - Fundamental Optimization Algorithms for Data Science

THE CONFERENCE IS ORGANIZED JOINTLY BY A.S. Makarenko Sumy State Pedagogical University, Taras Shevchenko National University of Kyiv and Institute of Mathematics of National Academy of Sciences of Ukraine CONFIRMED PLENARY SPEAKERS 1.Nicolás Andruskiewitsch, National University of Cordoba, Argentina 2.Tomoyuki Arakawa, Kyoto University, Japan 3.Taras Banakh, Ivan Franko National University of Lviv, Ukraine 4.Volodymyr Bavula, University of Sheffield, UK 5.Michel Van den Bergh, Hasselt University, Belgium 6.Oksana Bezushchak, Taras Shevchenko National University of Kyiv, Ukraine 7.Igor Burban, University of Paderborn, Germany 8.Yuriy Drozd, Institute of Mathematics of NAS of Ukraine, Ukraine 9.Pavel Etingof, Massachusetts Institute of Technology, USA 10.Vyacheslav Futorny, SUSTech University, China 11.Rostislav Grigorchuk, Texas A&M University, USA 12.Mikhael Gromov, Courant Institute of Mathematical Sciences,New York, USA 13.Harald Andrés Helfgott, Georg August University of Göttingen, Germany, Institut de Mathématiques de Jussieu, France 14.Zbigniew Jelonek, Institute of Mathematics Polish Academy of Sciences, Poland 15.Victor Kac, Massachusetts Institute of Technology, USA 16.Iryna Kashuba, University of São Paulo, Brazil 17.Olga Kharlampovich, Hunter College, CUNY, USA 18.Leonid Kurdachenko, Oles Honchar Dnipro National University, Ukraine 19.Peter Littelmann, University of Cologne, Germany 20.Alex Lubotzky, Hebrew University, Israel 21.Sergiy Maksymenko, Institute of Mathematics of National Academy of Sciences of Ukraine, Ukraine 22.Alexander Martsinkovsky, Northeastern University, USA 23.Olivier Mathieu, Université Claude Bernard, Lyon, France 24.Volodymyr Mazorchuk, Uppsala University, Sweden 25.Volodymyr Nekrashevych, Texas A&M University, USA 26.Victor Ostrik, University of Oregon, USA 27.Anatoliy Petravchuk, Taras Shevchenko National University of Kyiv, Ukraine 28.Vera Serganova, University of California, Berkeley, USA 29.Ivan Shestakov, University of São Paulo, Brazil 30.Agata Smoktunowicz, University of Edinburgh, UK 31.Geordie Williamson, University of Sydney, Australia 32.Changchang Xi, Capital Normal University, Beijing, China 33.Efim Zelmanov, SUSTech University, China

The main aim of the conference is to bring together researchers and scientists in a wide range of areas of Mathematics, Statistics and Data Science, that are topics of active research in Armenia, and also are prospective for research and collaboration. The conference will cover the following topics: - Algebra and Logic - Analysis - Probability and Statistics - Optimization and Optimal Control - Data Science

This meeting aims to continue an old tradition of Romanian mathematical congresses and is largely open to international participation. The congress is jointly organized by the Mathematical Sciences Section of the Romanian Academy, the Romanian Mathematical Society, the Simion Stoilow Institute of Mathematics of the Romanian Academy, the Faculty of Mathematics and Computer Science of the University of Bucharest, and the University of Pitești. The congress will host the first Balkan Mathematical Conference, a regional meeting launched by the European Mathematical Society.

The conference MITRE 2023 provides a forum for specialists to discuss different aspects of the integration of research and education in Mathematics and Computer Science. Discussions are traditionally axed on the achievements in scientific research and advanced training of high qualification specialists in these areas according to real needs of economy, on ways of involving young talents in research. The participation of young scientists is encouraged. The Conference MITRE in 2023 will be at its 9th edition and is a satellite conferences of The Tenth Congress of Romanian Mathematicians.

The main part of PhD Summer School in Discrete mathematics are two mini-courses, aimed at PhD Students, but also to other participants interested in the topics. The first mini-courses will be given by Prof. Karen Meagher (University of Regina, Canada), and it will be related to eigenvalues of graphs, and the second mini-course will be given by Prof. Ted Dobson (University of Primorska, Slovenia), and it will be related to symmetries of graphs. Apart from two mini-courses there will be also a session of invited talks.

General Relativity is traditionally studied from an Analysis/PDE, Differential Geometric, or Physics perspective. Recently, new approaches to analyze nonsmooth Lorentzian structures have also emerged from Geometric Measure Theory and Optimal Transport. This workshop brings together for the first time experts from all these different approaches to study General Relativity to discuss open problems and new tools. To facilitate maximal interaction two minicourses and several introductory/plenary talks are scheduled. Minicourses: A. Bernig (Frankfurt), Y. Shlapentokh-Rothman (Toronto) Invited speakers (* to be confirmed): L. Andersson* (Beijing), D. Faifman (Tel Aviv), N. Gigli (SISSA), G. Holzegel* (Münster & London), M. Kiessling (New Brunswick), M. Kunzinger (Vienna), K. Landsman (Nijmegen), R. McCann (Toronto), R. Perales (Oaxaca), M. Sánchez (Granada), I. Stavrov (Portland), S. Suhr (Bochum), M. Van de Moortel (New Brunswick), Q. Wang (Oxford) Organizers: A. Burtscher (Nijmegen), S. Tahvildar-Zadeh (New Brunswick)