• Applied Analysis and Fluids

Organizers: Elaine Cozzi (Oregon State University), Ralph Showalter (Oregon State University)

Description: Presentations in this session focus on the mathematical modeling and analysis of the dynamics of fluids or composite systems containing or interacting with fluids.

• Numerical Analysis

Organizer: Jeffrey Ovall (Portland State University)

Description: This session will showcase recent work in the development and analysis of numerical algorithms in areas including linear algebra, differential equations and optimization.

• Computational Modeling and Simulation

Organizer: Brian Wetton (University of British Columbia)

Description: This session features work that highlights the combination of modeling, with some novel mathematical features, and the development of corresponding computational tools. The models come from a variety of applications: atmospheric science, porous media flow, reactive transport, medicine, and others.

• Solvers and High Performance Computing Techniques

Organizers: Timothy Costa (Intel), Richard Mills (Intel)

• Recent Advances in Nonlinear Waves

Organizers: Jeremy Upsal (University of Washington), Xin Yang (University of Washington)

Description: This session will center on problems in nonlinear waves. The session will include mathematicians who use analysis, asymptotics, and numerics to study problems in water wave modeling, structure of partial differential equations, and solutions for differential equations.

• Modeling and Analysis in Life Sciences

Organizers: Vrushali Bokil (Oregon State University), Yana Nec (Thompson Rivers University), Michael Ward (University of British Columbia)

Description: This session will feature talks on modeling, analysis, simulation and control of various biological phenomenon including reaction diffusion modeling, neurodynamics, infectious diseases, and protein interactions.

• Applied and Computational Algebra and Geometry

Organizer: Mary Flahive (Oregon State University)

Description: This session will focus on recent work that successfully applies algebraic, geometric, number-theoretic or topological methods to real-world problems. Coinciding with the introduction of the new SIAM Journal on Applied Algebra and Geometry, the session will bring together a diverse group of researchers who apply these mathematical techniques to a wide range of problems.

• Uncertainty Quantification

Organizer: Xiu Yang (Pacific Northwest National Laboratory)

Description: Uncertainty quantification has become an important pillar of mathematical modelings and simulations. It enters as a valuable tool that addresses issues on uncertainty propagation, optimal sampling, rare events, etc. This session aims at bringing researchers to discuss recent developments on UQ methods from different aspect that help to understand the effect of uncertainty and stochasticity in different dynamical systems.

• Inverse Problems, Optimization and Compressed Sensing

Organizers: Ben Adcock (Simon Fraser University), Milagros Loreto (University of Washington Bothell), Leming Qu (Boise State University)

Description: This session will cover inverse problems, harmonic analysis and signal processing. Presentations include new work for compressed sensing and sparse recovery techniques, recent advances in nonlinear and nonconvex methods, and applications. A portion of this session will focus on research in non-smooth and derivative free optimization. As some recent work has shown potential benefits of combining ideas from these fields, the goal is to share their latest developments and find synergies for future work.

• 3D Modeling and Remote Sensing

Organizers: Demetrios Gatziolis (USDA Forest Service), Nikolay Strigul (Washington State Vancouver)

Description: 3D modeling relying on point clouds obtained from LiDAR and photogrammetry has found broad applications in environmental sciences, agriculture, forestry, architecture, archaeology and paleontology. Recent technological breakthroughs have enabled 3D-explicit forest growth simulators and forest biomass estimation. Remaining critical challenges in 3D modeling include efficient and comprehensive generation of point clouds and the ensuing identification and dimensionality assessment of geometric structures. This Thematic Section will provide a rarely available, cross-disciplinary platform for mathematicians, computer scientists, and remote sensing researchers involved in environmental 3D modeling operating in the Pacific Northwest, and employed by the US Forest Service (Pacific Northwest Research Station and Rocky Mountain Research Stations), private companies (Weyerhaeuser Inc.), and academic institutions. In order to reach across discipline boundaries, we will also invite affiliated professionals from disciplines emerged in 3D modeling and remote sensing. In the absence of any previous similar engagements in the area, this thematic section will be a timely and noticeable event.