Download Program PDF

Friday, April 3

12:30 PM – 6:15 PM
12:30 - 1:10 PM Check-in / Registration
1:10 - 1:15 PM Opening Remarks (Jim Nagy)
1:15 - 2:00 PM Plenary Talk 1 (45 min) — Richard Lehoucq (Sandia National Laboratories)
Title: The Poisson Tensor Completion Parametric Estimator
2:00 - 3:30 PM Student Talk Session I (Chair: Wenjing Liao)
  1. Mitchell Scott — What Makes a Good Data Science Preconditioner? (Emory University)
  2. Jonathan Valyou — A Conjugate-Gradient Formulation of the EnKF Algorithm (Florida State University)
  3. Atticus Rex — Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data (Georgia Tech)
  4. Francesco Brarda — Preconditioning Via Spectral Density Driven Graph Neural Networks (Emory University)
  5. Haoyang Qian — When Complexity Simplifies: The Paradox of More Random, More Tractable (Florida State University)
3:30 - 4:00 PM Coffee Break
4:00 - 4:45 PM Plenary Talk 2 (45 min) — Lars Ruthotto (Emory University)
Title: Optimal Transport and PDE Perspectives on Generative AI
4:45 - 6:15 PM Student Talk Session II (Chair: Sanghyun Lee)
  1. Pengjun Wang — Error Estimates of a Training-Free Diffusion Model for High-Dimensional Sampling (Auburn University)
  2. Caleb Fikes — PTYDIFF: Score-Induced Implicit Phase Choice Sampling for Nonlinear Ptychographic Imaging Problems (Emory University)
  3. Jonathan Engle — Elections and the Spatial Public Goods Game (Florida State University)
  4. Munawar Ali — Noise Estimation of SDE from a Single Data Trajectory (Florida State University)
  5. Farhana Taiyebah — Accelerating Posterior Inference from Pulsar Light Curves via Learned Latent Representations and Local Simulator-Guided Optimization (Florida State University)
6:15 PM Dinner / Poster Session (16 posters)
  1. Kapil Chawla — DG-FEONet: Learning Discontinuous PDE Solutions with Neural Networks (Florida State University)
  2. Srijon Sarkar — Kronecker Approximations of Covariance Matrices for Solving Inverse Problems (Emory University)
  3. Ngoc Hien Tran — Reduced Fracture Model for Reactive Transport (Auburn University)
  4. Yahong Yang — Learning in Group-Invariant Radon Spaces from Finite Samples (Georgia Tech)
  5. Vivian Zhang — Multifidelity Operator Inference: Reduced Order Modeling of PDEs from Scarce Data (Georgia Tech)
  6. Shikhar Shah — Block Jacobi Preconditioning on Analog Hardware (Emory University)
  7. Anand Natarajan Sriram — Multifidelity Gaussian Processes for Vortex Dominated Flows (Georgia Tech)
  8. Benjamin Burns — Infinite-dimensional Stein variational inference with derivative-informed neural operators (Georgia Tech)
  9. Meixi Li — Detecting repeating patterns in signals (Georgia Tech)
  10. Tianshi Xu — Preconditioned Truncated Single-Sample Estimators for Scalable Stochastic Optimization (Emory University)
  11. Toma Debnath — On the emergence of antiphase synchronization (Florida State University)
  12. Zhongjie Shi — Learning theory of sequence-to-sequence mapping between manifolds with Transformers (Georgia Tech)
  13. Callie Reid — Dynamics Shape the Perception of Network Structure (Florida State University)
  14. Shiyi Lyu — Improvement of Reducing Dynamical Systems on Networks (Florida State University)
  15. Zixiang Xiong — Applying Linear Regression on Ensemble score filter (Florida State University)
  16. Benjamin Yellin — First-Order PINNs and LSFEM (Emory University)

Saturday, April 4

8:00 AM – 5:15 PM
8:00 - 9:00 AM Breakfast (provided)
9:00 - 9:45 AM Plenary Talk 3 (45 min) — Alessandro Veneziani (Emory University)
Title: The role of Mathematics in the Clinics of Cardiovascular Diseases: Challenges and Perspectives
9:45 - 11:15 AM Student Talk Session III (Chair: Feng Bao)
  1. Jingqiao Tang — Data Assimilation Framework for Uncertainty Reduction in Learning Data-Driven Dynamical Systems (Florida State University)
  2. Ruoyu Hu — Introduction of Power Grid with a Numerical Example on Feedback Control Problem with Data Assimilation (Florida State University)
  3. Yi Liu — Multi-level Machine Learning Framework for Inverse Scattering Problems (Auburn University)
  4. Tomoki Koike — Sparse POD Mode Selection and Manifold Dimensionality Reduction with Neural Networks (Georgia Tech)
  5. Seungmin Lee— An optimization-based bound-preserving limiter for two-phase systems (Florida State University)
11:15 - 11:45 AM Coffee Break
11:45 AM - 12:30 PM Panel Discussion (45 min)
Careers and Research Opportunities in Scientific Computing and Data Science
12:30 - 1:45 PM Lunch (provided)
1:45 - 3:15 PM Student Talk Session IV (Chair: Ziad Musslimani)
  1. Ferhat Karabatman — Geometric Perspective on Concentration Phenomena in Frame Theory (Florida State University)
  2. Xu (Melissa) Wang — A Primal-Dual Price-Optimization Method for Computing Equilibrium Prices in Mean-Field Games Models (Emory University)
  3. Mujtaba Ali — On the Hausdorff Stability of Barcodes over Posets (Florida State University)
  4. Jiaqi Yang — Multi-patient Computational Analysis of Type B Aortic Dissections (Emory University)
  5. Haoran Yan — Understanding Denoising Autoencoders through the Manifold Hypothesis: A Geometric Perspective (Georgia Tech)
3:15 - 3:45 PM Coffee Break
3:45 - 5:15 PM Student Talk Session V (Chair: Yuanzhe Xi)
  1. Yi-Yung Yang — Bound-preserving and Entropy Stable Enriched Galerkin Methods for Nonlinear Hyperbolic Equations (Florida State University)
  2. Kha Doan — Dynamically Regularized Lagrange Multiplier Method for the Cahn-Hilliard–Navier–Stokes System (Auburn University)
  3. Leonardo Molinari — Computational Framework for Cardiac Radiofrequency Ablation: Multiphysics Modeling and Domain Decomposition (Emory University)
  4. Akshita Sahni — A Reduced Order Model for Rapid 3D Fluid-Structure Interaction Simulation of Aortic Valve Flows (Georgia Tech)
  5. James Orgeron — Habitat Fragmentation Promotes Spatial Scale Separation Under Resource Competition (Florida State University)
5:15 PM Closing Remarks