Events

Scientific Directors: Denis Bonheure, Univ. Libre Bruxelles, Belgium Giovanni P. Galdi, Univ. Pittsburgh, US Filippo Gazzola, Politecnico Milano, Italy Lectures: Sunčica Čanić, Univ. California at Berkeley, US - Fluid-Poroelastic Structure Interaction Irene Fonseca, Carnegie Mellon Univ., US - Gamma-Convergence and Phase Transitions of Heterogeneous Materials Anna L. Mazzucato, Penn State Univ., US - Boundary Layers in Fluid Flow Thomas Richter, Otto von Guericke Univ. Magdeburg, Germany - Modeling and Discretization of Fluid-Structure Interactions

The ATSF 2026 Conference is the 9th event of the Approximation Theory and Special Functions (ATSF) series. The conference aims to bring together researchers working in approximation theory, special functions, numerical analysis, and related areas, fostering interaction between theoretical developments and applications.

The program will unite researchers from a number of areas: algebraic and complex geometry, arithmetic geometry, Hodge theory, and mathematical physics. It will bring theoretically and computationally oriented researchers together, expecting that computations will illuminate conjectures made by the theorists and that theory will enlarge the range of what can be computed. We intend to develop databases of certain types of K3 surfaces for the L-Functions and Modular Forms Database and promote the development of software for computations on K3 surfaces in Magma, SageMath, or other systems for public release.

AI Unlocked 2026, will bring together the brightest minds from academia, industry, and government to explore the power, promise and purpose of artificial intelligence. This two-day congress, chaired by Dr. Anjulika Salhan, a global expert in AI-driven innovation and founder of Systems Holdings, will be held at the prestigious Hyatt Regency in Birmingham. We invite you to join a dynamic community of AI pioneers shaping the future of machine learning and intelligent systems. World-class speakers from across sectors will share their research, breakthroughs, and real-world applications of AI, ranging from deep learning architectures and causal models to AI in finance, healthcare, governance, and regulation. Key themes include: • The evolving architecture of AI systems: transformers, GNNs, diffusion models • The rise of foundation models, multimodal AI, and explainability • Bridging theory and application: from generalisation and convergence to robust deployment • Policy and ethics: AI governance, regulatory frameworks, and public-private collaboration • What's next? Symbolic reasoning, AI safety, causal AI, and hybrid intelligence

The seminar focuses on Hilbert’s irreducibility theorem and its modern reinterpretations as an arithmetic-geometric property of varieties over number fields. Originating in Hilbert’s work on realizing finite groups as Galois groups, these ideas have since evolved through contributions by Colliot-Thélène, Sansuc, Serre, Corvaja, Zannier and others into the study of the so-called Hilbert and weak Hilbert properties, which describe the abundance and distribution of rational points on varieties and their behavior under covers. In recent years, the subject has seen remarkable progress, with new results on algebraic groups, abelian varieties, del Pezzo surfaces, and K3 surfaces. The aim of this seminar is to introduce PhD students and postdocs to these developments and to the techniques used in their proofs. Deadline for application: 12 July 2026

There is an increase of models in fluid dynamics which incorporate new stochastic and relaxation effects. For the stochastic part, this focuses on the well-posedness of PDEs with rough boundary noise. Relaxation effects lead to new models avoiding infinite propagation speed, but also questions global well-posedness known for classical models. The development and analysis of numerical schemes has also been extensively investigated. The seminar aims at reporting on these recent developments, and at discussions among an up-and-coming community. Deadline for application: 12 July 2026

This conference provides an excellent platform for researchers to present their latest findings, engage in direct discussions, and participate in online Q&A sessions. The main topics and sessions of the conference are as follows: S1. Mathematical Physics; S2. High Energy Physics, Particles and Fields; S3. Applied Physics; S4. Astronomy, Astrophysics and Cosmology; S5. Algebra and Geometry; S6. Mathematical Analysis and Statistics; S7. Applied Mathematics. All submitted abstracts will be reviewed by the conference committee (before being published) and displayed on the website of the conference. The conference will be an online-only event, with no registration fee, and no requirement for travel or related expenses. Conference Secretariat Mr. Zen Wang Email: iocsym2026@mdpi.com

Exciting Announcement: ICMMP 2026 is Now Open for Participation! ICMMP 2026 is now welcoming abstract submissions. The conference will cover five core themes—Quantum Field Theory, Integrable Models, Quantum Information, AMO Physics, and Nonlinear Dynamics—and will feature an invited lineup of leading specialists from more than 10 countries. Participants are welcome to submit abstracts for poster presentations, with selected works eligible for awards and publication opportunities. Various registration discounts are also available. We look forward to welcoming you to Hangzhou for an inspiring and engaging scientific event. For inquiries regarding submissions and registrations, please contact us at: icmmp2026@mdpi.com

The aim of the MICOPAM 2026 conference is to bring together leading scientists of the pure and applied mathematics and related areas to present their research, to exchange new ideas, to discuss challenging issues, to foster future collaborations and to interact with each other. MICOPAM 2026 conference took place in a hybrid form with Physical and Virtual (Online) participation. MICOPAM 2026 conference welcomed speakers whose talk or poster contents are mainly related to the following areas: Mathematical Analysis Algebra and Analytic Number Theory Combinatorics and Probability Pure & Applied Mathematics and Related Areas Mathematical Statistics and its applications Recent Advances in General Inequalities Mathematical Physics Fractional Calculus and Its Applications Polynomials and Orthogonal systems Special numbers and Special functions q-analysis and its applications Approximation Theory and Optimization Extremal Problems and Inequalities Integral Transformations, Equations and Operational Calculus Differential Equations and their applications Geometry and Its Applications Numerical Methods and Algorithms Scientific Computation Mathematical Methods and Computation in Engineering Mathematical Geosciences p-adic numbers, p-adic analysis and their applications Mathematical Modelling Marketing, Business and their applications Mathematical Methods for Engineering Applications

Evolutionary PDEs play a crucial role in the description of countless physical processes. The numerical treatment of these time-dependent problems is challenged by plenty of difficulties such as, the propagation of singularities, the preservation of structural properties, oscillatory and multi-scale behaviour as well as the high-dimensionality of the variables involved. This seminar focuses on dynamical parametric approaches to approximate the solution of certain classes of PDEs at time t. The seminar will consist of a series of roughly ten lectures and accompanying group work. We plan to address the following topics: (1) time-dependent variational principle, (2) approximation properties of decoder functions, (3) time integration, (4) practical aspects, e.g., optimization, sampling, and automatic differentiation. Deadline for application: 6 September 2026