ECOM 2025 (In-person)April 17-18, 2025 (Eastern Time)
Scientific Program
Detailed Program (Link)

 

 

Schedule: April 17, 2025 (Eastern Time)

 

Time (EDT) Presenter Title Recordings and 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
10:00 am - 11:00 am Matthias Heinkenschloss
(Rice University)		 Tutorial II:
PDE-Constrained Optimization Under Uncertainty
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
12:30 pm - 1:30 pm Lunch Break
1:30 pm - 2:00 pm Yunan Yang
(Cornell University)		 Stochastic Inverse Problems in Digital Twins
2:00 pm - 2:30 pm Sean Hardesty
(Sandia National Labs)		 Plato Optimization-Based Design
2:30 pm - 3:00 pm Raghu Bollapragada
(The University of Texas, Austin)		 Adaptive, Scalable, and Fast Algorithms for Nonlinear Stochastic Optimization
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
(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
(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

 

Schedule: April 18, 2025 (Eastern Time)

 

Time (EDT) Presenter Title Recordings and Slides
8:00 am - 9:00 am Breakfast
9:00 am - 10:00 am Rainald Loehner
(George Mason University)		 Tutorial I:
TBD
10:00 am - 11:00 pm Rainald Loehner
(George Mason University)		 Tutorial II:
TBD
11:00 am - 11:30 pm Coffee Break
11:30 am - 12:30 pm Rainald Loehner
(George Mason University)		 Public Lecture:
TBD
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
(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