AMS :: 2022 Fall Southeastern Sectional Meeting, AMS Special Session

AMS Sectional Meeting AMS Special Session

Current as of Sunday, October 23, 2022 03:30:04

2022 Fall Southeastern Sectional Meeting

University of Tennessee at Chattanooga, Chattanooga, TN
October 15-16, 2022 (Saturday - Sunday)
Meeting #1181

Associate Secretary for the AMS Scientific Program:

Brian D. Boe, University of Georgia brian@math.uga.edu

Special Session on Reliable and Efficient Machine Learning for Scientific Forward and Inverse Problems I

Saturday October 15, 2022, 8:30 a.m.-10:30 a.m.
Special Session on Reliable and Efficient Machine Learning for Scientific Forward and Inverse Problems I
Room 211, EMCS Building
Organizers:
Feng Bao, Florida State University fbao@fsu.edu
Anuj Abhishek, University of North Carolina at Charlotte
Lan Gao, University of Tennessee at Chattanooga
Taufiquar Khan, University of North Carolina at Charlotte
Jin Wang, UTC
- 8:30 a.m.
  A feed-forward neural network approach to Estimate parameters of models of COVID-19 Dynamics
  Ziwei Ma*, University of Tennessee At Chattanooga
  Jin Wang, UTC
  (1181-34-16387)
- 9:00 a.m.
  A Generalized Deep Neural Network model via weight and bias reparameterization
  Zezhong Zhang*, Florida State University
  (1181-41-16536)
- 9:30 a.m.
  A neural network-based approximation method for divergence-free magnetic field interpolation
  Del-Castillo-Negrete Diego, ORNL
  Minglei Yang*, ORNL
  Guannan Zhang, ORNL
  (1181-65-16446)
- 10:00 a.m.
  Effective deep neural network architectures for learning high-dimensional Banach-valued functions from limited data
  Ben Adcock, Simon Fraser University
  Simone Brugiapaglia, Concordia University
  Nicholas Dexter*, Florida State University
  Sebastian Moraga, Simon Fraser University
  (1181-65-16616)

Sunday October 16, 2022, 8:30 a.m.-10:30 a.m.
Special Session on Reliable and Efficient Machine Learning for Scientific Forward and Inverse Problems II
Room 211, EMCS Building
Organizers:
Feng Bao, Florida State University fbao@fsu.edu
Anuj Abhishek, University of North Carolina at Charlotte
Lan Gao, University of Tennessee at Chattanooga
Taufiquar R Khan, University of North Carolina at Charlotte
Jin Wang, UTC
- 8:30 a.m.
  Predicting COVID-19 Vaccine Hesitancy through Analysis of Google Trends Data, Statistical Deep Learning Pilot Study
  Lan Gao*, University of Tennessee at Chattanooga
  Gertrude Osei, The University of Tennessee at Chattanooga
  Melanie Trouse, The University of Tennessee at Knoxville
  (1181-62-16464)
- 9:00 a.m.
  Stabilization of Latent Dynamics with Dissipative Bottleneck Layers
  Viktor Reshniak*, Oak Ridge National Laboratory
  (1181-68-16508)
- 9:30 a.m.
  Random Persistence Diagram Generator and Materials
  Minh Quang Le*, The University of Tennessee, Knoxville
  Vasileios Maroulas, University of Tennessee Knoxville
  Farzana Nasrin, University of Hawaii at Manoa
  Theodore Papamarkou, University of Manchester
  Orlando Rios, The University of Tennessee, Knoxville
  (1181-62-16339)
- 10:00 a.m.
  Physics-informed neural networks for the heat equation with source term under various boundary conditions
  Brett Bowman*, SAIC
  Nick Gamez, SAIC
  Eddie Gil, SAIC
  Taufiquar Khan, University of North Carolina at Charlotte
  Jason Kurz, 711th Human Performance Wing, Airman Systems Directorate, Bioeffects Division
  Chad Oian, 711th Human Performance Wing, Airman Systems Directorate, Bioeffects Division
  (1181-68-15618)

Inquiries: meet@ams.org