Events

How to “visualize” the shape of a manifold? More technically, how can one describe the topological and geometric structures of manifolds in a quantitative way? In modern differential geometry, a fundamental strategy is to appropriately “normalize” the shape by canonical metrics — the Riemannian metrics that satisfy certain nonlinear partial differential equations. The seminar will be devoted to investigating canonical metrics and address several basic questions, such as: regularity theory — how well do the canonical metrics perform; degeneration theory: which kinds of complications may appear; moduli space theory — what does the space of all canonical metrics look like? The lectures will focus on degenerations and moduli space of Einstein metrics, global structures and compactifications of moduli space, moduli space and global topological invariants, etc. Deadline for application: 15 September 2025

The Abdus Salam International Conference on Mathematical Sciences & Emerging Technologies (AS-ICMSET-2025) aims to bring together leading researchers, industry experts, and early-career scientists from across the globe to exchange ideas, present new results, and foster collaborations across the spectrum of mathematical sciences. The conference embraces both fundamental theoretical research and cutting-edge applied innovations, reflecting the vision of Nobel Laureate Prof. Abdus Salam to connect pure science with real-world progress.

The series of short webinars organized by EU-MATHS-IN aims to raise the awareness of how companies have overcome their challenges and the benefits they have achieved by taking advantage of Industrial Mathematics technologies. On this occasion, the focus will be on logistics and management in companies through the Nors Group experience. In addition to Pedro Louro (Nors Group), we will have two guest speakers who have extensive experience in technology transfer: Alfredo Bermúdez de Castro (USC & CITMAga) and Uwe Iben (Robert Bosch GmbH).

Webs are diagrammatic tools for representing complex calculations graphically. These diagrams first arose from the representation theory of classical groups, and they have since become important in disparate areas of mathematics. The goal of this workshop is thus to bring together experts from these communities and cross-fertilize these diverse subjects by spreading knowledge of recent developments and perspectives on our shared interest in webs. This workshop will also provide an opportunity for distinct research groups to share current code functionality as well as future needs and desires, with an aim towards building collaborative and open-source computing capabilities.

The workshop aims to showcase new techniques and open problems, foster lively exchanges between analysts at all career stages, and outline key questions driving current research in mathematical fluid dynamics. The event will bring together leading experts and early-career researchers interested in the analytical study of fluid motion. Through a series of invited and contributed talks, participants will have the opportunity to share their latest results, exchange ideas, and discuss promising directions for future work.

This program bring together researchers working in Bayesian nonparametric inference (BNP), including computation, foundations, methodology and application of BNP methods, with the goal of identifying newly emerging computational strategies and inference approaches. The program and invited talks are planned to balance theoretical expertise, interest and prowess in computational methods, and exposure to selected substantial application areas. The intended nature of the program as identifying synergies of different approaches and potentially new research directions naturally leads to favoring breath over depth, with more emphasis on covering diverse areas rather than on in-depth discussions of a single specific theme.

The main goal of this program is to advance foundational research in stochastic and randomized methods for scientific computing and optimization, enabling their effective and widespread use in challenging applications. This includes the development of new mathematical approaches, convergence results, next-generation hardware, statistical guarantees, and error bounds, as well as the integration of these tools in scientific applications at scale. We also aim to create research and mentorship opportunities for researchers at all levels, including advanced undergraduate students, graduate students, postdocs, and senior scientists.