Conferences  >  Mathematics  >  Modeling and Simulation  >  United States

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

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)

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