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

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

Speakers

Manifolds and Quantum Computing
Samuel Francis Potter New York University    Butterfly-accelerated manifold harmonic transforms
Mohammadhossein  Mohammadisiahroudi  Lehigh University   Accurately solving linear systems with quantum oracles
Zeguan Wu Lehigh University   Inexact feasible quantum interior point method for linear and quadratic optimization
Numerical Analysis
Yukun Yue Carnegie Mellon University   On strong convergence of a numerical scheme for Q-tensor flow based on invariant quardratization method
Lucas Bouck University of Maryland, College Park   Finite element approximation of a membrane model for liquid crystal polymeric networks
Yangwen Zhang Carnegie Mellon University   A new reduced order model of linear parabolic PDEs
Modeling and Simulation
Luke Evans University of Maryland, College Park   Computing committors via Mahalanobis diffusion maps with enhanced sampling data
Stephanie Lewkiewicz Temple University   Computing the reproductive number of the invasive spotted lanternfly with a novel moving mesh method for stage-age-structured PDEs
Mary Taranchuk University of Delaware   Do sheets of nematic liquid crystals retain their shape when stretched?
Data Methods
Amir Sagiv Columbia University   Density estimation in uncertainty propagation - Approximating pushforward measures
Jerome Troy University of Delaware   Learning dynamics with adaptive random Fourier features
Mingkai Yu University of Maryland, Baltimore County   State and parameter estimation from partial state observations in stochastic reaction networks

Posters and Demos

Rujeko Chinomona Temple 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    Higgins Temple University   Optimal size of the block in block GMRES on GPUs: Computational model and experiments
Kiera Eloise Kean Temple University   Energy dissipation rates in 1-equation turbulence models
Céline Torres University 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: naday -at- temple.edu

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.

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