Conferences  >  Mathematics  >  Modeling and Simulation

Institute for Pure and Applied Mathematics (IPAM), UCLA

As the planning and operation of modern transportation systems become more and more data and computation driven, their societal impact becomes directly tied to the mathematical models and algorithms supporting their deployment. The fundamental goal of this workshop is to understand how modeling and computation in the planning and operation of transportation infrastructure impacts the equitable utilization of public resources. While the focus of this workshop will be on transportation, we believe it has the potential to more broadly contribute to understanding equitable public decision-making for all kinds of networked infrastructure systems, including but not limited to transportation.

Applied Mathematics (in general),    Transportation and Logistics

The KAUST Research Conference on Divide, Conquer, and Combine Methods in Large-scale Simulation and Analytics, a.k.a. the 28th International Conference on Domain Decomposition Methods (DD28), will be held at the King Abdullah University of Science and Technology, on the Red Sea in Saudi Arabia, from January 28 to February 1, 2024.

CAAC , Center for Advanced Academic Studies, Dubrovnik

Starting from 2000, three conferences on multi-scale methods in science and technology have been successfully organized in Dubrovnik in cooperation with Andro Mikeliċ. Their goal was to bring together the mathematicians working on the multi-scale techniques (asymptotic analysis, homogenization, singular perturbation, …) and experts from the applied sciences, who need these techniques in modeling, numerical simulations and optimization of real systems. These events provided a high potential and the proper atmosphere for the exchange of information, results and ideas, for discussions and cooperation on the front of research. Andro Mikeliċ, a pioneer in multi-scale analysis and its applications and an inspiring partner, contributed substantially to this success.

Sadly, Andro has passed away in 2020 and it is appropriate to dedicate to his memory this Dubrovnik conference, pursuing the main goal which he had chosen for his own research.

ICMS - International Centre for Mathematical Sciences

Computational Physics and Numerical Simulation,    Applied Mathematics (in general)

Institute for Computational and Experimental Research in Mathematics (ICERM)

This workshop focuses on the modeling, analysis, approximation, and applications of nonlocal equations, which have raised new challenges to mathematical modeling, numerical analysis, and their computational implementation. Recent applications include, but are not limited to: heat and mass diffusion, mechanics, pattern formation, image processing, self-organized dynamics, and population dispersal. Invited speakers and participants will bring expertise from a wide range of related fields, including mathematical and numerical analysis of nonlocal and fractional equations, numerical methods and discretization schemes, multiscale modeling, adaptivity, machine learning, software implementation, peridynamics modeling of material failure and damage, nonlocal and fractional modeling of anomalous heat and mass diffusion, and several engineering and scientific applications in which nonlocal modeling is useful.

Email: info@icerm.brown.edu

Calculus, Differential Equations and Integration,    Applied Mathematics (in general)

ICMS - International Centre for Mathematical Sciences

The proposed summer school is devoted to the fundamental theory, state-of-the-art methodologies and real-world applications of Bayesian filtering, including sequential Monte Carlo (SMC) algorithms and other popular techniques, such as sigma-point methods for nonlinear Kalman filtering, Gaussian-mixture filters and others. We will introduce the basics of the field, so the summer school can be followed by an heterogenous audience. Basic notions on linear algebra, statistics, probability, and calculus are recommended. Then, the main targeted group for this summer school is PhD students with background in mathematics, statistics, physics, engineering, or computer science (but not only). Other students (e.g., last year MSc students) and early-career academics with similar background are also invited to apply. We intend to schedule 5 short courses (one-day tutorials) from renowned international researchers. These tutorials will cover the theoretical foundations of the field, current methodological trends, and relevant applications. Some courses may include hands-on sessions in (personal) computers. The target audience include researchers working on the field, as well as students aiming at being introduced to the topic.

Probability and Statistics, Game Theory,    Courses and Events for Math Students and Early Career Researchers

Institute for Computational and Experimental Research in Mathematics (ICERM)

Systems of interacting particles or agents are studied across many scientific disciplines. They are used as effective models in a wide variety of sciences and applications, to represent the dynamics of particles in physics, cells in biology, people in urban mobility studies, but also, more abstractly in the context of mathematics, as sample particles in Monte Carlo simulations or parameters of neural networks in machine learning. This workshop aims at bringing together researchers in analysis, computation, inference, control and applications, to facilitate cross-fertilization and collaborations.

Email: info@icerm.brown.edu

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

Casa Matemática Oaxaca (CMO)

Trefftz methods are a class of methods for the numerical simulation of problems modeled by differential equations. As opposed to other methods such as finite elements, relying on a unique representation of solutions for all possible equations, Trefftz methods rely on a representation of the solution that is tailored for each particular problem, that is for each differential equation. Thanks to this tailored representation, the methods enjoy desirable properties: they can approximate solutions within a given accuracy using less computational resources than for instance finite element methods. In the past few years, the mathematical community has reached significant breakthroughs to address several challenges attached to the practical performance of Trefftz methods. By gathering experts on these methods, as well as scientists from both academia and industry who use them towards various applications, we have a unique opportunity to exchange about recent developments, stimulate new interactions and shape the future developments on Trefftz methods.

Numerical Analysis and Computational Mathematics,    Calculus, Differential Equations and Integration

ICMS - International Centre for Mathematical Sciences

Sequential Monte Carlo (SMC) methods, also known as particle filters or particle methods, have become popular and powerful tools for computational inference in complex probabilistic models used in many and varied fields and applications. The research community includes practitioners and theoreticians at the intersection of statistics, computer science, electrical engineering, and applied mathematics. The interest in SMC methods have rapidly grown in the last decade, jointly with the new challenges and the enormous potential of SMC to tackle high-impact problems in applied sciences (e.g., meteorology, biomedicine, robotics, etc.).

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Probability and Statistics, Game Theory,    Complex Systems, Chaos and Self-Organisation

Calculus, Differential Equations and Integration,    Computational Physics and Numerical Simulation

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy

Scientific Computing and Data Science,    Ecosystems, Environment and Sustainable Development

Fields Institute

This workshop aims to showcase the state-of-the-art mathematical and computational models that are in use in mathematical oncology, with a particular focus on the fourteen hallmarks of cancer. New modeling challenges arise from these hallmarks. Some of the hallmarks relate to the characteristics of the cancer cells themselves (sub-cellular and cellular level), while others include more global effects such as blood circulation, the immune response, the effect and role of the microenvironment, mechanical forces, and the microbiome. Matching the biological diversity of the cancer hallmarks, is the diversity of mathematical approaches and techniques that have been used and are in use to give insight into the growth and spread of cancer – for example, continuum and discrete models; ordinary and partial differential equation models; individual-based and agent-based models; hybrid models; deterministic and stochastic approaches; analytical and computational approaches. Many of these processes act on very different spatial and temporal scales. Hence a new integrated multiscale mathematical modeling framework is needed to include new aspects and insights, such as spatial stochastic models and local and non-local partial differential equation models.

Oncology,    Systems Biology and Computational Biology

Fields Institute

This workshop aims to take a closer look at how mathematical and computational models can help answer clinically relevant questions and enhance multimodal treatments. Currently, a wide range of modelling approaches study cancer and have a crucial role in treatment delivery from answering questions related to cancer biology and treatment efficacy to directly helping with treatment delivery. In this workshop, we would like to bring together clinicians, biomedical experts, experimentalists, and mathematicians to explore some of the relevant questions on multimodal treatment modelling, efficacy, optimization, drug resistance and clinical delivery.

Oncology,    Systems Biology and Computational Biology

Fields Institute

This workshop explores research in methods aimed at connecting mathematical models of cancer evolution and clinical data. It focuses on ecology and evolution of cancer. Traditionally, ecology and evolution have been the most “mathematical” (and perhaps the first mathematical) areas of biology. Mathematical contributions to these fields made in the 20th century are now fundamental parts of scientific knowledge. More recently, methods of ecology and evolution have found their way into oncology, bridging traditional molecular biology and mathematics including stochastic processes, dynamical systems, and nonlinear partial differential equations. New biological challenges lead to difficult mathematical problems and beautiful solutions, which are both innovative mathematically and impactful from the point of view of public health. These will be the focus of the proposed workshop .

Oncology,    Systems Biology and Computational Biology

Fields Institute

Immunotherapies have revolutionized treatments for several types of cancers, but have been met with clinical trial failures in others. The idea of eliciting an immune response against a tumour is old, but we are only just beginning to harness the potential of the immune system to treat both solid and liquid tumours. To improve immunotherapeutic approaches requires understanding how the immune system interacts around and within a tumour, allowing us to establish effective immunotherapeutic protocols. Mathematical modelling can help identify the mechanisms at the heart of immunotherapeutic efficacy and design successful therapeutic regimens. Close collaboration between experimentalists, clinicians, and quantitative researchers in academia and industry is required to forward models for implementation. This workshop will focus on tightening the links between researchers in different fields to fuel immunotherapy success.

Oncology,    Systems Biology and Computational Biology

Institute for Advanced Study in Mathematics (IASM)

Free boundaries and moving interfaces are ubiquitous in our daily activities such as pouring red wine into a glass, jumping into a swimming pool, or watching water waves at the beach. Other processes involving interfaces are much less visible, but have great impacts on our lives. For example, one mechanism by which cancel cells move around is to change the shape of their boundaries. As another example, three major components in our blood are the red cells, the white cells, and platelets; injure of blood vessels will trigger complicated chemical reactions and physical processes that occur on the interface of these cells. It is therefore extremely important to solve key problems in this scientific field so that we can save money, energy, time, and even human lives. One major tool for sciences in this field is through mathematical modeling and numerical computations. This workshop aims to bring together experts from various disciplines to work together on the analysis, modeling, computation, and applications of a wide range of free-boundary and moving-interface problems.

Numerical Analysis and Computational Mathematics,    Analysis

CIRM – Centre International de Rencontres Mathématiques