Events

The School will feature a series of lectures by Autumn Kent and Chris Leininger, focusing on their recent work on constructing purely pseudo-Anosov surface subgroups of Mapping Class Groups. In addition, there will be introductory talks covering related topics and also several research talks by invited speakers. This school is part of the activities organized by the Bridson-Reid laboratory, funded through ICMAT's Severo Ochoa excellence award.

This workshop capitalizes on the significant potential for mutual advancement in uncertainty quantification (UQ) and mathematical biology through cross-disciplinary collaboration. Bringing together UQ practitioners and mathematical biologists will allow UQ methodologies to be applied to explore and improve biological models through computational methods. Conversely, the unique challenges of modeling uncertainty in biological systems can inspire the development of novel UQ techniques. By fostering research collaborations at the intersection of computational and mathematical biology, UQ algorithms, and data-driven learning, this workshop aims to galvanize advancements across these fields.

We are delighted to announce the International Conference on Non-linear Analysis and Optimization (ICAN-OPT_NEPAL_2025), from May 08 to 10, 2025, at Kathmandu University, Dhulikhel, Nepal including a Workshop on Fixed Point Theory and Applications. This event is organized by Kathmandu University in collaboration with Tribhuvan University, Nepal Sanskrit University, and Nepal Mathematical Society. This conference will cover diverse topics like Non-linear Analysis, Fixed Point Theory, Operator Theory, Complex Analysis, Harmonic Analysis, Wavelet Analysis, Special Functions, Functional Analysis, Fourier Analysis, Numerical Analysis, Convex Analysis, Optimization Theory, Queueing Theory, Finance & Economics, Differential Equations, Mathematical Biology, Mathematical Modelling, Data Science, and Machine Learning.

A topologist might hope that results in knot theory can always be extended to links. Decades of work in link theory show such extensions are not always straightforward and are, in fact, sometimes impossible. There are also properties and strategies unique to link theory. For all these reasons, link theory is a rich source of relationships to driving questions in the study of topology in dimensions 3 and 4. Among the most compelling are connections to 4-dimensional surgery, exotica in dimension 4, and the study of surfaces in 4-manifolds. Additionally, a vast number of open questions and unexplored topics remain within the confines of the theory in areas such as link concordance, link homotopy, and homology theories, including Heegaard Floer homology and Khovanov homology. This workshop will bring together low-dimensional topologists of all backgrounds to further the general knowledge of link theory within the low-dimensional topology community, including techniques and tools used to study links and important open questions connected to link theory.

The aim of the Workshop for Young Researchers in Mathematics is to bring together early career mathematicians, to present their latest results, exchange ideas, and discuss novel research directions. Priority will be given to PhD students and postdocs. The workshop is traditionally organized as a two-day event with two parallel sessions: Algebra, Geometry, Number Theory & Topology and Analysis, PDEs & Applied Mathematics. Each session comprises four modules (2 x morning & 2 x afternoon) with joint breaks in-between. If the research of the speakers is broad enough the two sessions may meet in a joint module.

The Laboratory of Modeling and Mathematical Structures is excited to announce The First Edition Of The International Conference on Dynamical Systems, under the Theme “Control and Related Fields,” scheduled at the Faculty of Sciences and Technologies of Fes, Morocco, from May 15 to 16, 2025. This prestigious event aims to provide a platform for researchers, academics, and practitioners worldwide to share their latest findings, insights, and advancements in dynamical systems and control theory and their applications in various scientific and engineering domains. The conference will foster interdisciplinary collaboration, encourage knowledge exchange, and highlight emerging trends in these pivotal areas.

This workshop is designed for faculty, postdocs, and PhD students who are interested in teaching statistics and data science through an interdisciplinary approach that leverages the strengths of both applied mathematics and statistics. Participants will exchange pedagogical ideas, curricula, and research applications, fostering collaboration between those teaching data science. The workshop is especially relevant for statistics faculty looking to expand their data science toolbox and applied mathematicians aiming to equip their students with essential data science skills. The workshop is also open to individuals in engineering, epidemiology, computer science, and other STEM or public health fields.

Scientific Directors: Antonia Passarelli di Napoli, Univ. Napoli Federico II, Italy Verena Bögelein, Paris Lodron Univ. Salzbur, Austria Lectures: Andrea Cianchi, Univ. Firenze, Italy Cristiana De Filippis, Univ. Parma, Italy Frank Duzaar, Paris Lodron Univ. Salzburg, Austria Jan Kristensen, Oxford Univ., UK

The conference will bring together experts in representation theory and algebraic combinatorics, ,and is part of a broader special semester on "Modern Perspectives in Representation Theory" at the Sydney Mathematical Research Institute, running from May 5 to June 13, 2025.

The aim of this workshop is to bring together participants from computational mathematics and gravitational wave astronomy to tackle computational challenges in leveraging data-driven methods in key areas of gravitational wave data analysis in order to maximize the science output of the ongoing and upcoming observations. The areas of focus will be: (i) noise classification and detection, (ii) waveform modeling and uncertainty quantification, and (iii) source parameter and astrophysical population Bayesian inference.