October 28, 2022

A conference on numerical analysis and scientific computing for graduate students and postdocs in the Mid-Atlantic region.

Friday, 28 October 2022

 

The Conference

This one-day meeting will start at 10am to allow same-day travel. It will be held in Room 617 Wachman Hall, Temple University, 1805 North Broad Street, just north of Montgomery Avenue. It is an opportunity for graduate students and postdocs to present their research, and to meet other researchers. There will be contributed talks and a poster session. There is no registration fee, and no support for travel. Lunch will be provided. We ask every participant to please register in advance, even if they are not planning to give a talk.


Keynote Speaker

Qiang Du, Columbia University

Learning Hidden Dynamics: From Practice to Numerical Analysis

Numerical integration of a given dynamic system can be viewed as a forward problem with the learning of hidden dynamics from available observations as an inverse problem. The latter appears in various settings such as model reductions of multiscale processes, and more recently, data-driven modeling via deep/machine learning. The solution of both forward and inverse problems forms the loop of informative and intelligent scientific computing. Some related issues, e.g., the identification of state variables and the selection of numerical methods, are discussed in this lecture. In particular, a question to be investigated is whether a good numerical integrator for discretizing prescribed dynamics is also good for discovering unknown dynamics in association with deep learning. The answer leads to new mathematical theory that enriches classical numerical analysis.

 

 

Conference Announcement Poster


Click to download a PDF.

Schedule

9:15-9:50Registration and breakfast (provided)
9:50-10:00Opening remarks
10:00-11:00   Presentations (Manifolds and Quantum Computing)
11:00-11:15Coffee Break
11:15-12:15Presentations (Numerical Analysis)
12:15-1:30Posters, demos, and lunch (provided)
1:30-2:30Keynote lecture (Qiang Du)
2:30-2:45Coffee break
2:45-3:45Presentations (Modeling and Simulation)
3:45-4:00Coffee break
4:00-5:00Presentations (Data Methods)
5:00-5:10Closing remarks
6:00-8:00Group dinner (attendance optional)

Speakers

Manifolds and Quantum Computing
Samuel FrancisPotterNew York University  Butterfly-accelerated manifold harmonic transforms
Mohammadhossein Mohammadisiahroudi Lehigh University Accurately solving linear systems with quantum oracles
ZeguanWuLehigh University Inexact feasible quantum interior point method for linear and quadratic optimization
Numerical Analysis
YukunYueCarnegie Mellon University On strong convergence of a numerical scheme for Q-tensor flow based on invariant quardratization method
LucasBouckUniversity of Maryland, College Park Finite element approximation of a membrane model for liquid crystal polymeric networks
YangwenZhangCarnegie Mellon University A new reduced order model of linear parabolic PDEs
Modeling and Simulation
LukeEvansUniversity of Maryland, College Park Computing committors via Mahalanobis diffusion maps with enhanced sampling data
StephanieLewkiewiczTemple University Computing the reproductive number of the invasive spotted lanternfly with a novel moving mesh method for stage-age-structured PDEs
MaryTaranchukUniversity of Delaware Do sheets of nematic liquid crystals retain their shape when stretched?
Data Methods
AmirSagivColumbia University Density estimation in uncertainty propagation - Approximating pushforward measures
JeromeTroyUniversity of Delaware Learning dynamics with adaptive random Fourier features
MingkaiYuUniversity of Maryland, Baltimore County State and parameter estimation from partial state observations in stochastic reaction networks

Posters and Demos

RujekoChinomonaTemple University Demonstration of the Neuro-VISOR project
Mariana Graciela  Martinez Aguilar  New York University A semi-Lagrangian marcher for geometric optics on unstructured meshes in 2D
Andrew James   HigginsTemple University Optimal size of the block in block GMRES on GPUs: Computational model and experiments
Kiera EloiseKeanTemple University Energy dissipation rates in 1-equation turbulence models
CélineTorresUniversity of Maryland, College Park On the inf-sup stabillity of Crouzeix-Raviart Stokes elements in 3D
Nour
Mengsha
Khoudari
Yao
Temple University Balancing simplicity and accuracy in vehicle energy model

Accommodation

Make your own arrangements. Please feel free to contact us for information on accommodation.

Contact

Email:

Organizers

Benjamin Seibold and Daniel B. Szyld

Sponsors

Sponsored and supported by the Department of Mathematics, the College of Science and Technology, the Graduate School, and the Center for Computational Mathematics and Modeling, Temple University.