Conferences  >  Mathematics  >  Modeling and Simulation

ICERM/Brown University

Demands of resolution and fidelity have driven the performance of simulations of first-principles mathematical models in science and engineering from MegaFlop/s to ExaFlop/s and their datasets from MegaBytes to ExaBytes (12 orders of magnitude) over the past four decades. Over the most recent decade, the application of machine learning to science and engineering systems has created a similar demand for performance and associated storage. Lower levels of the software stack created for simulation have proved immediately useful for machine learning at scale. However, higher levels of the simulation software have not yet fulfilled their potential to lift the dominant algorithms for machine learning and inference today above relatively “brute force” implementations, resulting in massive costs for facilities and energy that slow progress and restrict access to the research frontier for many. At the same time, hardware optimized for machine learning applications possesses yet unrealized potential for traditional simulation. Increasingly, the same science or engineering application is more effectively addressable by simulation and learning working in tandem than by either alone, resulting in a confluence of two formerly distinct research communities. This “hot topics” weekend aims to capitalize by highlighting opportunities for cross-fertilization in both directions.

Phone: [4018635030];     Email: info@icerm.brown.edu

Ghent Analysis & PDE Center, Ghent University

The purpose of the conference is to provide an international forum to present and discuss the latest developments in computational and applied mathematics in various emerging engineering and mathematical fields.

Email: acomen2025@ugent.be

Applied and computational mathematics, Computational solid mechanics, Computational fluid mechanics, Computational material science, Computational electromagnetism, Computational natural sciences and biomechanics, Data driven and Artificial Intelligence applied to modelling, Fluid-structure interactions and coupled problems, High performance scientific computing, Inverse problems, Machine learning, New and emerging discretisation methods, Numerical analysis, Optimisation methods, Partial Differential Equations, Software for scientific computations, Simulation of manufacturing processes, Uncertainty quantification and stochastic modelling

Applied Mathematics (in general),    Numerical Analysis and Computational Mathematics

The Romanian Society of Applied and Industrial Mathematics

CAIM series provide a forum for the review of the recent trends in applied and industrial mathematics either from a qualitative or from a numerical point of view. The conference has also sections for computer sciences and the theoretical branches of mathematics like algebra or geometry. A special section of the conference is dedicated to the mathematical teaching.

Phone: [0744427589];     Email: conferences.caim@yahoo.com

Partial Differential Equations; Ordinary Differential Equations, Dynamical Systems; Mathematical Modeling in Engineering and Life Sciences; Real, Complex, Functional and Numerical Analysis; Probability Theory, Mathematical Statistics, Operations Research; Algebra, Logic, Geometry; Computer Science; Education

Applied Mathematics (in general),    Numerical Analysis and Computational Mathematics

The International Centre for Mathematical Sciences (ICMS)

Set against the backdrop of emerging high-performance computational resources, such as the UK’s forthcoming first exascale supercomputer to be sited in Edinburgh, the workshop will focus on the development of new mathematical and algorithmic methodologies aiming to make the most of the computational power of future computer architectures in materials simulation. The workshop will stimulate research collaborations between researchers from the UK, EU and USA, and will offer the opportunity for mathematicians to learn more about the new challenges and opportunities these computational platforms will bring.

Topics to be discussed will include novel approaches to computational multi-tasking and sampling; optimisation methodologies such as numerical continuation and deflation; coarse-graining and model reduction; and the rigorous mathematical analysis of such methodologies.

Condensed Matter Physics and Materials,    Scientific Computing and Data Science

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Voronoi diagrams are fundamental geometric structures that divide space into regions based on proximity to points or sites. They play an important role in many fields of science and have become cornerstones of disciplines such as computational geometry, scientific computing, and optimization.

Optimization Theory, Operational Research,    Scientific Computing and Data Science

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

Symbiotic relationships are ubiquitous on our planet, and a necessary component of life in all its forms. Symbioses have been identified in ecological contexts ranging from forests, to coral reefs, to the microbiota of humans. Despite their importance, the main body of theory largely neglects key features of host-symbiont relationships, such as their interdependent fitness and the fluctuating abundance of symbionts within a hosts’ lifetime. This lack of mathematical theory limits our predictive understanding of the ecological and evolutionary dynamics of these communities, and is affecting our ability to successfully manage and conserve them. During this workshop, biologists and mathematicians will come together to discuss the current challenges and opportunities for the mathematical modelling of symbiotic systems. Participants will develop the foundations of a new class of ‘eco-evolutionary’ models that explicitly accounts for host-symbiont intertwined ecology and evolution, and for the consequences of this interdependence. The developed models will help advance our mechanistic understanding of host-symbiont community dynamics, with implications ranging from forestry management, to coral reef conservation, to human health.

Applied Mathematics (in general),    Systems Biology and Computational Biology

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

In-host modelling is a burgeoning field at the intersection of biology, mathematics, and computational science, dedicated to unravelling the intricate dynamics of disease and the immune system within individual hosts. The field has evolved significantly over time, driven by the need to understand how pathogens interact with the immune system and how interventions like treatments and vaccines can alter disease or infection outcomes. More work needs to be done to understand how genetic, environmental, and physiological factors affect how individuals respond to infections, vaccines, and treatments, influenced by variations in age, comorbidities, sex, ethnicity, immune-related genes, exposure histories, and overall health. Understanding these differences is crucial for advancing personalized and group-targeted medicines or vaccines, developing new drugs and vaccines, and optimizing public health programming for all populations. A workshop focus will be on key questions from industry and government through large and small group discussions. Industry and government reports will result.

Applied Mathematics (in general),    Systems Biology and Computational Biology

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Key questions for the seminar include identifying which language constructs are best suited for expressing mixed precision algorithms in software and determining the specific floating-point formats required. This could provide valuable feedback to hardware developers. Additionally, the seminar should address which tools can aid in and simplify the analysis of reduced precision computing, and what tools might be necessary to evaluate the benefits of these techniques. For instance, how can algorithm developers predict and quantify the energy savings achieved through the use of reduced precision?

Algorithms and Data Structures,    Scientific Computing and Data Science

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

The vaccine development pipeline is a time, cost and labour-intensive process. Mathematical and computational methods can alleviate challenges related to this intensive process as well as providing further insights into the efficacy and safety of vaccines. These methods are key components of model-informed vaccine development (MIVD) and quantitative systems pharmacology/toxicology (QSP/T). MIVD and QSP/T can be used in tandem to better understand the biological processes and outcomes from vaccination administration, spurring future research. This workshop will strengthen and contribute to the ongoing development of this interdisciplinary community of biologists, mathematicians and vaccinologists.

Applied Mathematics (in general),    Pharmacology and Drug Development

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

According to recently published research study in Canada Medical Association Journal, in 2024, the number of new cancer cases and deaths from cancer were expected to reach 247 100 and 88 100, respectively. A key driver of cancer formation, development and its metastasis are single cancer cells. Understanding the biochemical processes that drive their force generation and polarisation and their mechanical properties might aid our understanding of how single cancer cells evolve over time and how they aid the formation of primary and secondary tumours. Cell migration is essential for many biological processes; e.g. immune response, embryogenesis, and cancer metastasis. The aim of this 5-day workshop is to bring applied mathematicians, cellular, molecular and developmental biologists, biophysicists, biostatisticians, biomechanical engineers and biotechnologists to deliberate on a roadmap towards developing 2- and 3-D mechanobiochemical models (MBMs) for single and collective cell migration through non-isotropic environments. The ultimate goal is to develop biophysically- and mathematically-engineered artificial cells that can be easily interrogated and perturbed for medical, biomedical, cancer and drug-delivery research at low cost, while reducing the use of animals in experiments.

Applied Mathematics (in general),    Systems Biology and Computational Biology

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

Plant productivity and resilience to environmental stresses such as climate change depends on the mechanisms that define cellular morphogenesis. This is largely governed by the mechanical properties of the plant cell wall, which is in turn dependent on the spatial organization of dynamic cytoskeletal polymers known as microtubules. In contrast to animal cells, where microtubule organization is controlled by organizing centres, plant cell microtubule arrays are self organized. Understanding this self-organization remains an active area of research where mathematical approaches have proven to be indispensable. This is done by simulating interacting microtubules in shapes representing an individual cell. Starting with simple simulations, different researchers have implemented their own computational models to study various aspects involved in this process. Building on this, these models are now employing increasingly sophisticated ideas. This workshop aims to give researchers the opportunity to understand each others' models and to foster stronger collaborations.

Applied Mathematics (in general),    Botany

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

This workshop aims to bring together researchers from diverse fields of applied mathematics to explore the critical role of variational methods in both physical sciences and data sciences. Variational problems are fundamental in modeling natural phenomena and optimizing complex systems. This interdisciplinary workshop will focus on the latest advances in the analysis of physical problems, mathematical aspects of data science, optimization techniques, and computational mathematics, and at the same time celebrate the important contributions of Rustum Choksi at the occasion of his 60th birthday. By bringing together a diverse group of scholars, the workshop will also create a venue for new research directions, innovative solutions, and enhanced computational methods.

Computational Physics and Numerical Simulation,    Scientific Computing and Data Science

The International Centre for Mathematical Sciences (ICMS)

Collective cell migration and pattern formation are entwined phenomena of immense fascination. Development, tissue repair and disease progression all involve coordination between cell movements, growth, and intercellular signalling processes. A better understanding of their interplay across different spatial and temporal scales will help improve diagnosis and treatment of diseases. The aim of this workshop is to draw together state of the art techniques within (i) the biological mechanisms that underpin processes of collective cell migration and pattern formation, (ii) the mathematical and computational models used to study these phenomena, and (iii) the analytical tools that can be used to unlock core properties contained within these models.

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

The mathematical modeling of biological systems with partial differential equations has a long and successful history. Many results on species invasion or extinction, pattern formation and species interactions have been derived and used to better understand the biology around us. Applications cover a vast scale of sizes, from protein movement in the cell nucleus, to cell movement to tissue structure, organ structure, up to species interactions on the population level. Recently, a new model class arose that include finite distance interactions into the partial differential equation (PDE) framework. Non-local interactions relate to different sensing mechanisms, starting with sensing through sight and smell, to sensing through touch, cell-cell contact and cell protrusions to more abstract concepts such as learning and memory. In this workshop we aim to bring together established and young researchers to push the frontiers of research into non-local partial differential equations and their applications to biological problems.

Calculus, Differential Equations and Integration,    Systems Biology and Computational Biology

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

Most volcanic hazards --- from lava and pyroclastic flows to ash and gas clouds --- are fundamentally multiphase fluid flows. Predicting these fluid flows is of considerable importance in order to inform quantitative hazard assessment, including, for example, potential evacuation and exclusion zones during eruptions. Although recent advances in remote sensing offer some remarkable new insights into the dynamics, these hazardous fluid flows can be difficult to measure directly. Predictive mathematical models therefore play a vital role in allowing forecasters make robust operational decisions. This is the theme of our proposed workshop: the fluid mechanics of volcanic hazards.

Applied Mathematics (in general),    Geophysics and Geology