The workshop features three sessions in which the presentations will be mixed with discussions and short breaks. The following order of the presentations is suggested, but not guaranteed.

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Friday, February 16, 2024

9:30 a.m. – 12:30 p.m.

• Leszek Demkowicz (University of Texas at Austin)
  DPG enables the use of multiple variational formulations
• Wolfgang Dahmen and Zhu Wang (University of South Carolina)
  Certifiability of Primal-Dual-Methods for GAN
• Leszek Demkowicz (University of Texas at Austin)
  The double adaptivity method. Theory and 2D experiments

2:00 p.m. – 5:00 p.m.

• Jonathan Zhang (University of Texas at Austin)
  Variational Formulations for the Cook’s Membrane Problem
• Jay Gopalakrishnan (Portland State University)
  Applications in Optics
• Yuan Qiu (Georgia Tech)
  Derivative-enhanced deep operator network

Saturday, February 17, 2024

9:30 a.m. – 12:00 p.m.

• Hong Wang (University of South Carolina)
  Variable-order FPDEs for anomalous transport in heterogeneous media and vibration of viscoelastic structures: modeling, analysis, and control
• Peng Chen (Georgia Tech)
  Scalable neural operator for Bayesian optimal experimental design