Propose a minisymposium

Proposals for minisymposia will be accepted until September 1.   A successful proposal should include a descriptive title and abstract, list of organizers, and number of potential speakers.  The abstract should describe the topic of the session clearly and is meant to attract both audience members and speakers.  

Minisymposium proposals can be submitted through the form. If you were invited to give a talk in one of the accepted minisymposia, a form will be posted here by September 10 for the submission of your title and abstract.  To ensure an accurate program, we will be asking all submissions be made by September 20.

Please submit title and abstracts by September 20: Submission form 

Sessions will consist of up to six 20 minute talks with 5 minutes of of questions per talk. Sample sessions from the 2021 Conference can be found at that meeting's website.  

Proposals are subject to approval by the 2023 SIAM PNW Organizing Committee.  

Accepted Minisymposia

Computational PDEs: Algorithms, Analysis and Applications

Organizer: Jeffrey Ovall, Portland State

This session features recent work in which the approximate solution of partial differential equations plays a central role. Some presentations are expected to be more application-oriented, and others more focused on algorithm development and analysis. 

Nonlinear Waves

Organizers: Anastassiya Semenova, Ryan Creedon, Eleanor D. Byrnes, University of Washington

This minisymposium is dedicated to the recent advances in fluid dynamics and related topics with focus on nonlinear waves. Emphasis is given to the systems arising from hydrodynamics. Novel results obtained with both analytical and numerical methods will be discussed. The minisymposium aims to bring together a diverse group of researchers of all genders, levels of seniority, and backgrounds.

Computational Inverse Problems

Organizers: Thomas Humphries, University of Washington Bothel, Ben Adcock, Simon Fraser Univeristy

This minisymposium focuses on work related to the computation of solutions to inverse problems, including sampling theory, algorithms, and the use of machine learning. Applications in areas including tomography and atmospheric science are also discussed.

Scientific Computing and Numerical Analysis

Organizers: Cade Ballew, Thomas Trogdon, Heather Wilber, University of Washington, Grady Wright, Boise State University

This minisymposium focuses on the design, analysis, and efficient implementation of numerical methods and their applications to challenging scientific problems. Talks will be on topics including but not limited to numerical methods for differential equations, numerical linear algebra, approximation theory, and parallel computing.

Exploring Analytical and Numerical Developments in Social and Biological Applications

Organizers:  Jane Shaw MacDonald, Simon Fraser University, Chunyi Gai, University of British Columbia

Both mathematical analysis and numerical methods play important roles to study complex dynamical systems. This minisymposium will cover a wide range of topics arising from social and biological applications. For such applications, talks may focus on the numerical development and analysis of solvers, the qualitative and quantitative analysis of these systems, or the confluence of both these themes.

Mathematical and Computational Challenges in Modeling Planet Earth

Organizer: Malgorzata Peszynska, Oregon State University

The session will feature presentations on models and techniques devoted to the environmental hazards faced by the entire Planet Earth and in particular by the Pacific Northwest area associated with the changing climate including the wildfires, water and air contamination, decreasing snow and ice cover, and related biosphere issues. These motivate the continued efforts to develop and improve mathematical, statistical, and computational models which help to understand and mitigate the impact of these hazards. The challenges to these tools are in the large complexity of coupled components, the need to validate and calibrate the models with data as well as to account for the uncertainties involved.

Mathematical Modeling for the Quantification of Biological Phenomena

Organizers: Konstantinos Mamis, Ruibo Zhang, University of Washington

With the progress of medical technology, an ever-increasing volume of high-precision data related to diseases has recently been made available. The data availability allows us to formulate and calibrate mathematical models that describe various biological processes. Mathematical models enable us to quantify the dynamical biological phenomena, and thus are useful in testing of hypotheses, generating simulations in silico, as well as in making predictions that can be used to improve therapeutic strategies. The talks in this minisymposium will highlight recent advances in mathematical modeling, either deterministic or stochastic, in biology.

Mathematical Modeling and Simulation of Cell Behavior and Regulation

Organizers: Tilmann Glimm, Western Washington University, Zhen Chao, University of Michigan

Modeling and numerical simulation are essential for understanding the behavior and regulation of cells, both at the individual level and the multicellular level. At the single cell level, researchers investigate individual cells' physical properties and intracellular molecular dynamics and regulation, including the study of cell fate determination or protein-ligand interactions, enzyme catalysis, and cell membrane protein properties. At the multicellular level, research on the interplay of cell mechanics and cell signaling in systems of interacting cells leads to insights into the mechanisms of cellular migration, aggregation and pattern formation. Multiscale models combine these levels. Mathematical methods include discrete and continuum approaches and both analytical and computational methods. This broadly focused special session will showcase the recent work of some of the researchers from the PNW in this subfield of mathematical biology and highlight applications and future directions.

Math Modeling at the Continuum Scale - Modeling, Analysis and Numerics

Organizer: Lynn Schreyer, Washington State University

Here we discuss problems modeled at the continuum scale (as oppose to molecular scale), e.g. fluids, solids, and multiple phases. Physical problems could include deformation, flow, reactions, phase-change, and effects due to magnetic and electrical fields in engineering or biological or physical problems. Mathematically we consider analysis of existing models, proposed models, and numerical issues.

Scientific Machine Learning

Organizers: Alexander Hsu, Bamdad Hosseini, Biraj Pandey, Juan Felipe Ramirez, University of Washington

Applying machine learning to the sciences raises unique and interesting problems, both theoretically and computationally. This minisymposium will present recent advances in the field, featuring topics such as reduced order modeling, operator learning, and measure transport. The minisymposium will include both novel methods and emerging applications.