Conference Program

Tentative Conference Program

Tours of the National Energy Research Scientific Computing Center (NERSC), home of the Perlmutter supercomputer, and the Advanced Light Source, will also be offered throughout the conference.  Details and sign-up links will be sent to those who indicate interest at registration.

Minisymposium Speaker Abstracts - Click HERE

Poster Abstracts - Click HERE

Monday

Monday 10/27, 9:20am-10:20am
Plenary Speaker - Rob Falgout (LLNL)
B50-Auditorium

Monday 10/27, 10:30am-12pm
Thematic Session #1: HPC and Simulation of Complex Dynamical Systems
B50-Auditorium
Chair: Andy Wan (UC Merced)

1. (10:30-10:48am) Gavin Pandya (UC Davis): Multiscale vortex methods for compressible flow

2. (10:48-11:06am) Steven B. Roberts (LLNL): High Order Time Integrators for More Efficient Cloud Microphysics Simulations

3. (11:06-11:24am) Radoslav Vuchkov (SNL): Low-Rank Tucker Tensor Methods for Stochastic Dynamic Optimization

4. (11:24-11:42am) Dinesh Kumar (LBL): Hierarchical Reconstruction Method and HPC for Realtime Synchrotron Tomography
5. (11:42-12:00pm) Laura Monroe (LANL): Mathematically designed networks for post-exascale systems

Monday 10/27, 10:30am-12pm
Thematic Session #2: Uncertainty Quantification and Data-Driven Modeling
B59-3101
Chair: Dongwook Lee (UC Santa Cruz)

1. (10:30-10:48am) Tyler Chang (Siemens): Leveraging interpolation models and error bounds for verifiable scientific machine learning

2. (10:48-11:06am) Pieterjan Robbe (SNL): Multifidelity Bayesian Optimization for Steady-State Predictions using Gyrokinetic Simulations of Plasma Turbulence

3. (11:06-11:24am) Michael Kielstra (UCB): Gradient-based, determinant-free, fully Bayesian Gaussian process regression

4. (11:24-11:42am) Jasper Lee (UC Davis): Optimal Sub-Gaussian Mean Estimation in R

5. (11:42-12:00pm) Dani Ushizima (LBL): Review of generative models for scientific data

Monday 10/27, 1:40pm-3:10pm

Thematic Session #3: Machine Learning for Scientific Computing Part 1
B50-Auditorium
Chair: Vivek Pallipuram (University of the Pacific)

1. (1:40-1:58pm) Changho Kim (UC Merced): Statistics-Informed Neural Network as a Surrogate Modeling Tool

2. (1:58-2:16pm) Christophe Bonneville (SNL): Towards Long Term Extrapolation of Phase-Field Simulations with Convolution-Only Deep Neural Networks

3. (2:16-2:34pm) Jennifer Paige (UC Davis): Machine learning for optimal tuning of the Simple Cloud-Resolving Earth Atmosphere Model (SCREAM)

4. (2:34-2:52pm) Maksym Zubkov (U British Columbia): The Geometry of Rational Neural Networks

5. (2:52-3:10pm) Aaron Mishkin (Stanford): Optimal Sets and Solution Paths of ReLU Networks

Monday 10/27, 1:40pm-3:10pm
Thematic Session #4: Linear Algebra and Numerical Methods
B59-3101
Chair: Paul Lin (LBL)

1. (1:40-1:58pm) Alec Dektor (LBL): Subspace projection methods for tensor eigenvalue problems

2. (1:58-2:16pm) Henry Boateng (SFSU): Multicomplex Numerical Differentiation via Matrix Functions

3. (2:16-2:34pm) Jennifer Zvonek (LLNL): Efficient Visualization of Implicit Neural Networks Via Weight Matrix Analysis

4. (2:34-2:52pm) Mark Fornace (LBL): Column subset selection and Markov chain reduction using nuclear scores

5. (2:52-3:10pm) Wayne Mitchell (LLNL): Semi-Structured Algebraic Multigrid in hypre

Monday 10/27, 3:30pm-4:30pm
Panel #1 - The Role of AI/ML and LLMs in Science
B50-Auditorium
Chair: Rob Schreiber (Cerebras)
1. Tammy Kolda (MathSci.ai)
2. Michael Mahoney (UCB / LBL)
3. Shima Alizadeh (Amazon)
4. Habib Najm (Sandia)

Tuesday

Plenary Speaker - Suzanne Sindi (UC Merced)
Tuesday 10/28, 9am-10am
B50-Auditorium

Tuesday 10/28, 1:30pm-3pm
Thematic Session #5: Computational Methods for Partial Differential Equations
B50-Auditorium
Chair: Bert Debusschere (SNL)

1. (1:30-1:48pm) Anuj Kumar (UCB): Almost anomalous dissipation in advection-diffusion of a divergence-free passive vector

2. (1:48-2:06pm) Evan Gawlik (Santa Clara): Finite element discretizations of differential operators from Riemannian geometry

3. (2:06-2:24pm) Justin Dong (LLNL): Well-posedness of ocean-atmosphere turbulent flux algorithms in Earth system models

4. (2:24-2:42pm) Thai Nhan (Menlo College): Rank-Structured Direct Solvers and Preconditioners for Efficiently Solving Singularly Perturbed Differential Equations

5. (2:42-3:00pm) Patrick Sprenger (UC Merced): Modulations of periodic wavetrains in a class of dispersive hydrodynamic models

Tuesday 10/28, 1:30pm-3pm

Thematic Session #6: Control Theory and System Optimization
B59-3101
Chair: Jeff Donatelli (LBL)

1. (1:30-1:48pm) Harish S. Bhat (UC Merced): Optimal control of molecular systems

2. (1:48-2:06pm) Alyson Fox (LLNL): Advancing Collaborative Autonomy for Scalable and Resilient Systems

3. (2:06-2:24pm) Robert Bassett (NPS): Decentralized Splitting for Large Optimization Problems

4. (2:24-2:42pm) Saibal De (SNL): Efficient Fault-Tolerant Kalman Filter for Inertial Navigation Using Linear Algebra Checksums

5. (2:42-3:00pm) Tucker Hartland (LLNL): A scalable interior-point Gauss-Newton method for PDE-constrained optimization with bound constraints

Panel #2 - Challenges in Mentoring Early-Career Professionals
Tuesday 10/28, 3:20pm-4:20pm
B50-Auditorium
Chair: Aydin Buluc (LBL)

1. Suzanne Sindi (UC Merced)
2. Harun Bayraktar (NVIDIA)
3. Rob Falgout (LLNL)
4. Ann Almgren (LBL)

Tuesday 10/28, 4:30pm-6pm

Thematic Session #7: Machine Learning for Scientific Computing Part 2
B50-Auditorium
Chair: Alyson Fox (LLNL)

1. (4:30-4:48pm) David Trebotich (LBL): gpAMR: UQ-Driven Adaptive Mesh Refinement

2. (4:48-5:06pm) Siyuan Xing (Cal Poly SLO): Breaking Dimensional Barriers: A New Framework for Discovering Differential Equations in Complex Systems

3. (5:06-5:24pm) Chris DeGrendele (UCSC): Hybrid ML-Numerical Solvers for Hyperbolic-Parabolic PDEs: Overcoming Timestep Constraints

4. (5:24-5:42pm) Hardeep Bassi (UC Merced): SRaFTE: Super-resolution and Future Time Extrapolation for time-dependent PDEs

5. (5:24-6:00pm) Patrick Wyrod (UCSC): Joint Diffusion Models for Multiscale Chaotic Dynamics

Tuesday 10/28, 4:30pm-6pm

Thematic Session #8: Scientific Computing for Life Sciences
B59-3101
Chair: Dani Ushizima (LBL)

1. (4:30-4:48pm) Shahram Emami (UC Merced): Continuous Time Markov Chain Kinetic Model of Transcription Factor Binding to DNA

2. (4:48-5:06pm) Vincent Lovero (UC Davis): Bifurcation Structure of Traveling Wave Solutions in Electrophysiological Models of Cardiac Tissue

3. (5:06-5:24pm) Silvia Crivelli (LBL): Energy-Efficient LLMs for Advancing Precision Medicine

4. (5:24-5:42pm) Alana Bailey (UC Davis): Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number

5. (5:24-6:00pm) Erica Rutter (UC Merced): An Inverse Problem to Recover Sensitivity to Treatment in Cancerous Tumors

Conference Poster Presenters

Poster Session #1: Monday 10/27
Blitz presentations: 4:45-5:30pm, B50 Auditorium
Poster presentations: 5:30-6:30pm, B59, outside of 3101

1. Ahmad Abassi (UCB): The Weakly Nonlinear and Semi-Analytic Theories and Computation of Finite-Depth Traveling Water Waves

2. Kayleigh Adams (UC Davis): Curvature of neural manifolds reveals a tradeoff in encoding strategy

3. Niloofar Asefi (UCSC): Generative Lagrangian data assimilation for ocean dynamics at extreme sparsity

4. Ruudy Mbouza Bayonne (Stanford): Reaction-Diffusion PDE Parameters Inference for Brain Oxygen Transport with Multiple Vascular Sources

5. Isabella Cho (Orange County School of the Arts): ResNet-GAN Implementation of an FVM Tsunami Flooding Simulation on Arbitrary Topographies

6. Jeffrey Donatelli (LBNL): Iterative Projection Framework for Solving Generalized Phase Problems from Nonuniform Fourier Data

7. Kwassi Joseph Dzahini (ANL): A Noise-Aware Scalable Subspace Classical Optimizer for Quantum Approximate Optimization Algorithm

8. Ubaida Fatima (NED UET): Fuzzy Reading of Complexity: Addressing Uncertainties in Social Network Analysis with Graph Neural Networks

9. John Gallagher (UC Merced): Conservative Hamiltonian Monte Carlo Methods: Theory and a Computational Example

10. Kai Siang Hu (UC Merced): Analysis of Thymus Blood Vascular Network and Hemodynamic Profiles

11. Axel Huebl (LBNL): Embedding AI/ML Surrogates in HPC GPU Simulations - From Python to C++ and Back

12. Asees Kaur (UC Merced): Improving DSA Image Segmentation with CNNs

13. Hyun Lee (UC Davis): Pumping and Steady Streaming of Two-Frequency Oscillation

14. Rachel Newton (Michigan): Optimality of POD for Data-Driven LQR with Low-Rank Structures

15. Irabiel Romero (UC Merced): An optimization-based approach for secure, safe, and economic operations of California power grid during wildfires

16. Abdullah Shah (KFUPM): Numerical Methods for Phase-Field Modeling of Two-Phase Incompressible Flows

17. Shashwat Sharan (UC Merced): Vacuum dambreak of a dilute gas superfluid Bose-Einstein Condensate

18. Satinderpreet Singh (UC Merced): Analyzing Reactive Fluctuating Hydrodynamics Simulations Using Structure Factors

19. Alaina Stockdill (UC Davis): Incorporating Species' Thermal Performance Curves into the Dynamics of Complex Food-Webs

20. Christopher J. Vogl (LLNL): Recent developments for coupling MFEM with structured AMR software libraries

21. Larry Wigington (NPS): Solving Stochastic Linear Programs on GPUs

22. Bryan Zhan (Burlingame HS): Neural Network Model of Wildfire Spread using Multi-image Mapping

Poster Session #2: Tuesday 10/28
Blitz presentations: 10:10-11:00am, B50 Auditorium
Poster presentations: 11:30am-12:30pm, B59, outside of 3101

1. Alexander Aghili (UCSC): TICA-Based Free Energy Matching in Coarse-Grained Machine Learning for Molecular Dynamics

2. Gersena Banushi (UCB): A semi-analytical model for the dynamic analysis of buried Timoshenko beams under transverse ground vibration

3. Matthew Blomquist (UC Merced): Semi-Lagrangian Characteristic Reconstruction and Projection for Transport under Incompressible Velocity Fields

4. Michael A. Culp (ASU): Localized Elliptical Geometry to Support Sparse Coding
5. Yiheng Du (UCB): Data-driven simulation of three-dimensional turbulence using EddyFormer

6. Selma Emekci (Pioneer HS): Machine Learning Framework for Simulating Nanoscale Conductor Behavior in Complex Geometries

7. Jonathan Forstater (UC Davis): E(3)-Equivariant Fragment-based Graph Neural Networks for Biomolecules

8. Kelli E. Gutierrez (UC Davis): Analyzing Active Forces in Microswimmers

9. Zixi Hu (LBNL): A Multi-Tiered Iterative Algorithm for Reconstructing 3D Particle Structures from Non-Uniform Rotational Averages of Their Power Spectrum

10. Xingguang Jin (Chinese University of Hong Kong): Robust Multiscale Methods for Helmholtz equations in high contrast heterogeneous media

11. Pratham Lalwani (UC Merced): Compositional physics-informed neural flow

12. Lauren Mossman (UC Davis): The structure and dynamics of habitat-modifying interactions in marine food webs: non-trophic interactions in bioenergetic network models

13. Jan Nikl (LLNL): Hybridization framework for convection-diffusion systems in MFEM

14. Samarth Sandeep (Iff Tech / UC Davis): Multi-Omics Could Be QMA-Hard

15. Olga Shapoval (LBNL): Pseudospectral Particle-In-Cell Formulation with Arbitrary Charge and Current-Density Time Dependencies for the Modeling of Relativistic Plasmas

16. Poorva Shukla (UCSB): Localization and Landscape Functions in Graph Laplacians

17. Gbocho Masato Terasaki (UC Merced): Reconstructing Patient-Specific Dynamics in Brain Tumor Growth with Deep Sequence Models

18. Dani Ushizima (LBNL): Advanced AI Systems for Microcapsule Synthesis

19. Yibing Wang (UC Merced): Deep Learning Approaches for Colony Segmentation and Leafhopper Egg Quantification in Microscopy Images

20. Kyle Wright (UC Merced): Groundwater Modeling Using Gravity-Gradient Cartography

21. Zihan Xu (UC Merced): Learning time trajectories of a stochastic dynamical system with a slowly varying parameter

22. Salvador Ochoa Zavalza (UC Davis): Topological and Genomic Data Analysis Reveal FUT10 and UNC5D as Tumor Drivers in Breast Cancer