|
|
| Time (EDT) | Presenter | Title | Slides |
|---|---|---|---|
| 8:00 am - 8:45 am | Registration & Breakfast | ||
| 8:45 am - 9:00 am | Opening Remarks by Dr. Andre Marshall (Vice President for Research, Innovation, and Economic Impact, GMU) | ||
| 9:00 am - 10:00 am | Matthias Heinkenschloss (Rice University) |
Tutorial I: PDE-Constrained Optimization Under Uncertainty |
Link |
| 10:00 am - 11:00 am | Matthias Heinkenschloss (Rice University) |
Tutorial II: PDE-Constrained Optimization Under Uncertainty |
Link |
| 11:00 am - 11:30 pm | Coffee Break | ||
| 11:30 am - 12:30 pm | Matthias Heinkenschloss (Rice University) |
Public Lecture: Adaptive Surrogate Modeling for Simulation and Optimization of Dynamical Systems with Model Inexactness |
Link |
| 12:30 pm - 1:30 pm | Lunch Break | ||
| 1:30 pm - 2:00 pm | Yunan Yang (Cornell University) |
Stochastic Inverse Problems in Digital Twins | Link |
| 2:00 pm - 2:30 pm | Sean Hardesty (Sandia National Labs) |
Plato Optimization-Based Design | Link |
| 2:30 pm - 3:00 pm | Raghu Bollapragada (The University of Texas, Austin) |
Adaptive, Scalable, and Fast Algorithms for Nonlinear Stochastic Optimization | Link |
| 3:00 pm - 3:30 pm | Coffee Break | ||
| 3:30 pm - 4:30 pm | Contributed Talks I | ||
| (1) Robert Baraldi (Sandia National Labs) |
An Adaptive Inexact Trust-Region Method for PDE-Constrained Optimization with Regularized Objectives | ||
| (2) Keegan Kirk (George Mason University) |
Optimal Insulation | ||
| (3) Bogdan Raita (Georgetown University) |
Gaussian Process Methods for Linear PDE | ||
| (4) Radoslav G. Vuchkov (Sandia National Labs) |
Memory-Efficient Dynamic Optimization using Inexact Hessians and Randomized Sketching | ||
| (5) Sarswati Shah (George Mason University) |
Path-Conservative Central Upwind Schemes for Two-Layer Shallow Water Flows Along Channels | ||
| (6) Lucas Bouck (Carnegie Mellon University) |
Discontinuous Galerkin Method for Advection Diffusion with Nonsmooth Velocity | ||
| 4:30 pm - 4:45 pm | Networking Break | ||
| 4:45 pm - 5:45 pm | Contributed Talks II | ||
| (7) Yulin Guo (University of California San Diego) |
Optimization under Uncertainty for Efficient Laser Powder-Bed Fusion Manufacturing | Link | |
| (8) Joey Hart (Sandia National Labs) |
Enabling Real-Time Optimization through Model Reduction and Model Discrepancy Sensitivities | ||
| (9) Tao Li (NYU) |
Digital-Twin-Enabled Predictive Traffic Sensing via Multi-Agent Risk-Constrained Online Learning | Link | |
| (10) Facundo Airaudo (George Mason University) |
Robust Detection of Weaknesses in Structural Digital Twins: Integrating Deterministic and Uncertainty-Aware Strategies | ||
| (11) Anton Malandii (Stony Brook University) |
Estimation of the Conditional Mean of a Distribution with Piecewise Linear Convex Optimization | ||
| (12) Maryam Norouzi (University of Rhode Island) |
Cooperative Deterministic Learning-Based Adaptive Formation Control with Digital Twin Integration for Nonlinear Mechanical Systems Under Complete Uncertainty | 5:45 pm - 7:45 pm | Reception |
| Time (EDT) | Presenter | Title | Slides |
|---|---|---|---|
| 8:00 am - 9:00 am | Breakfast | ||
| 9:00 am - 10:00 am | Rainald Loehner (George Mason University) |
Tutorial I: FEM, Optimization, and Digital Twins |
Link |
| 10:00 am - 11:00 pm | Rainald Loehner (George Mason University) |
Tutorial II: FEM, Optimization, and Digital Twins |
Link |
| 11:00 am - 11:30 pm | Coffee Break | ||
| 11:30 am - 12:30 pm | Rainald Loehner (George Mason University) |
Public Lecture: High-Fidelity Digital Twins: Detecting and Localizing Weaknesses in Structures |
Link |
| 12:30 pm - 1:30 pm | Lunch Break | ||
| 1:30 pm - 2:00 pm | Dongbin Xiu (The Ohio State University) |
Data Driven Modeling for Scientific Discovery and Digital Twins | |
| 2:00 pm - 2:30 pm | Amit Chakraborty (Siemens Corporation) |
Hybrid Digital Twin | |
| 2:30 pm - 3:00 pm | Contributed Talks | ||
| (1) Shanyin Tong (Columbia University) |
Large Deviation-Informed Estimation and Control for Rare and Extreme Events, and Their Use in Digital Twins | ||
| (2) Xuenan Li (Columbia University) |
A Constrained Optimization Approach for Constructing Rigid Bar Frameworks with Higher-Order Rigidity | ||
| (3) Mirjeta Pasha (Virginia Tech) |
A transport map approach for Bayesian inference of dynamic inverse problems with heavy-tailed priors | ||
| 3:00 pm - 3:30 pm | Coffee Break | ||
| 3:30 pm - 4:30 pm | Contributed Talks | ||
| (4) Deepanshu Verma (Clemson University) |
Neural Network Approaches for High Dimensional Parametric Optimal Control | ||
| (5) Hanju Wu (University of Hong Kong) |
On Resolution of l1-norm Minimization via a Two-metric Adaptive Projection Method | Link | |
| (6) Jonathan Lindbloom (Dartmouth College) |
Preconditioning Techniques for Large-Scale Sparsity-Promoting Inverse Problems | ||
| (7) Nghia Vo (Oakland University) |
Stable Recovery of Regularized Linear Inverse Problems | ||
| (8) Aniruddha Bora (Brown University) |
Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks | ||
| (9) Anthony Kolshorn (Portland State University) |
Optimal Control Framework for Deep Autoencoders | ||
| 4:30 pm - 4:45 pm | Networking Break | ||
| 4:45 pm - 5:35 pm | Contributed Talks | ||
| (10) Monika Pandey (Louisiana State University) |
Barzilai-Borwein Methods for Nonlinear Composite Optimization | ||
| (11) Dat Tran (Wayne State University) |
Sharpness-Aware Minimization: An Efficient Optimizer for Improving Generalization | ||
| (12) Minxin Zhang (University of California, Los Angeles) |
Inexact Proximal Point Algorithms for Zeroth-Order Global Optimization | ||
| (13) Zequn Zheng (Louisiana State University) |
A Novel Optimization Based Algorithm for Tensor Decomposition | ||
| (14) John D. Steinman (Rice University) |
Matrix-Free Linear Algebra for Trajectory Optimization | ||