Program
11th Graduate Student Conference
Clemson University
Brackett Hall 120
April 20th, 2024

Click on titles for abstracts

TimeSpeakerInstitutionTitle
8:30-8:45 Yi-Yung Yang FSU The maximum-principle-satisfying scheme on coupled flow and transport problems
8:45-9:00 Siming Liang FSU Ensemble Score Filter for Tracking Turbulent Atmosphere Dynamics
9:00-9:15 SeongHee Jeong FSU C0 interior penalty methods for an elliptic distributed optimal control problem
9:15-9:30 Ping-Hsuan Tsai Virginia Tech A Time-Relaxation Reduced Order Model for the Turbulent Channel Flow
9:30-9:45 Cao-Kha Doan Auburn Non-iterative localized exponential time differencing method for hyperbolic conservation laws
9:45-10:00 Pengjun Wang Auburn A pseudo-reversible normalizing flow for stochastic differential equation and uncertainty quantification
10:00-10:15 Benjamin Yellin Emory Methods to Improve the Training of Physics-Informed Neural Networks
10:15-10:30 Evan Butterworth Clemson On the Horizontal Method of Lines for Nonlinear Adsorption Problems
10:30-11:00 BREAK
11:00-11:15 Jiaqi Yang Emory Predicting the Evolution of Type-B Aortic Dissection: Combining Computational Hemodynamics and Data Analysis
11:15-11:30 Ali Bouland Vriginia Tech Control of the Fluidic Pinball using the Quadratic-Quadratic Regulator
11:30-11:45 Zheng Yang GSU Advances on similarity via transversal intersection of manifolds
11:45-12:00 Hemanta Kunwar Clemson Partitioning Method for the Finite Element Approximation of a 3D Fluid-2D Plate Interaction System
12:00-13:30 LUNCH BREAK (on your own)
13:30-13:45 Ian Moore Virgina Tech Approximate Deconvolution Leray Reduced Order Modeling
13:45-14:00 Yuwei Geng USC Gradient Preserving Operator Inference: Data-Driven Reduced-Order Models for Equations with Gradient Structure
14:00-14:15 Isabel Barrio Sanchez Pitt Second-order partitioned algorithms with subiterations
14:15-14:30 Hamza Adjerid Virginia Tech Nonlinear-feedback control for stokes type DAEs
14:30-14:45 Jorge Reyes Virginia Tech Numerical Analysis of Galerkin Reduced Order Models for Fluid Flow
14:45-15:00 Hanfei Xu GSU Orthogonal similarity via transversal intersection of manifolds
15:00-15:15 Neil Zhang ORNL Transferable Neural Networks for Partial Differential Equations
15:15-15:30 Amy de Castro Clemson Partitioned schemes and reduced order modeling for fluid interaction systems with poroelastic structures
15:30-16:00 BREAK
16:00-17:00 Guannan Zhang ORNL Plenary presentation: Generative Machine Learning Models for Uncertainty Quantification