Temple Mathematics

Visit CST

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.

Registration and/or Abstract Submission

If you would like to participate (in any form), please register using the online registration form.
The deadline for the submission of talks was September 30, 2022.

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