Posters

Outstanding Posters
Congratulations! And thank you all poster presenters for your contribution.

• Undergraduate: Rodrigo Flores (UC Merced), Oscar Thompson (CSU East Bay)

    [Honorable Mention] He (Amber) Wei (UC Berkeley), Elijah Valverde (San Francisco State University), Adrian Kisieu (UC Merced)

• Graduate: Nicholas Rondoni (UC Santa Cruz), Scott West (UC Merced), Jacqueline Alvarez (UC Merced)

    [Honorable Mention] P. Michael Kielstra (UC Berkeley), Elsie Cortes (UC Merced)

• Non-Student: Prabhat Kumar (Lawrence Berkeley National Laboratory)

    [Honorable Mention] Joy Bahr-Mueller (Sandia National Laboratories), Elizabeth Glista (Lawrence Livermore National Laboratory)

The conference will host two poster sessions on Wednesday and Thursday evenings.

Everyone is welcome to present their research. Particularly, participation of undergraduate students is strongly encouraged.

Also, there is no constraint on the poster content, as long as it is related to anything SIAM!

Poster dimension recommendation: 48w x 36h (landscape).

Submit your abstract via Google form (https://forms.gle/RY6WkNfmK3x293wn9)

The abstract should not exceed 1,500 characters, including spaces.

• UPDATE: Poster Abstract deadline extended!

• Poster abstracts received by September 3rd will be reviewed before the early bird registration (September 6th) and notification will be sent by September 5th.

• Poster abstracts received after September 3rd will be reviewed on a rolling basis.

During the Wednesday and Thursday poster sessions, there will be a reception. Please indicate your attendance on the registration form so that we can prepare accordingly!

Poster Session I (Wednesday, October 9, 5:30-7:00pm)

1. Gregory Mwamba, UC Merced, A Sufficient Condition for Blowup of the Nonlinear Klein-Gordon Equation with Positive Initial Energy in FLRW Spacetimes

2. Hannah Love, UC Merced, An Iterative Method for Method of Fundamental Solutions for Multiple Scattering of Objects

3. Levi Baguley, San Francisco State University, Are Winters Getting Shorter?

4. Brandon Imstepf, UC Merced, Bridging the Gap: From Protein to Brain in Alzheimer's Disease

5. Alex Ho, UC Merced, Data-Driven Diffusion Coefficient Estimation in Marine Lakes

6. Jacqueline Alvarez, UC Merced, Deep Learning Approaches for Radiography in Non-Destructive Testing 

7. Moein Darman, Rice University, Explaining physics of transfer learning in subgrid scale modeling of geophysical turbulence

8. Elsie Cortes, UC Merced, Fast and accurate boundary integral equation methods for optical cloaking models

9. Mohammad Partohaghighi, UC Merced, Fractional Order Federated Learning

10. P. Michael Kielstra, UC Berkeley, Gaussian process regression with log-linear scaling for common non-stationary kernels

11. Christopher DeGrendele, UC Santa Cruz, High-Order Gaussian Processes for Efficient Numerical Methods: Convergence, Stability, and the Prediction of Linear Operators

12. Gbocho Masato Terasaki, UC Merced, Merging Traditional Scientific Computing with Data Science to Develop a New Prediction Engine for Brain Cancer

13. Irabiel Romero, UC Merced, Optimal PMU Placement for State Estimation with Grid Parameter Uncertainty

14. Adam Binswanger, UC Merced, Sharp, stable, and collocated numerical simulation of incompressible, multi-phase fluid flows

15. Christina Wang, University of Colorado Boulder, Traveling Wave Solutions of a Reaction-Diffusion System Modeling Social Outbursts with Police Management Strategies

16. Dong Min  Roh, Lawrence Berkeley National Laboratory, Accelerating Eigenvalue Computation for Nuclear Structure Calculations via Perturbative Corrections

17. Pengcheng Xie, Lawrence Berkeley National Laboratory, Barycenter of Weight Coefficient Region of Least Weighted $H^2$ Norm Updating Quadratic Models with Vanishing Trust-region Radius

18. Xiao Chen, Lawrence Livermore National Laboratory, Bayesian Optimization with UQ for Inferring Anomalous Thermal Transport in Fusion Plasma Using UEDGE and DIII-D Data

19. Tianyi Shi, Lawrence Berkeley National Laboratory, Data-parallel adaptive tensor-train cross approximation

20. Senwei Liang, Lawrence Berkeley National Laboratory, Probing reaction channels via reinforcement learning

21. Ali Kahirdeh, The-Precursor Diagnostics, Software Design for Diagnostics and Prognostics of Energy Storage Systems

22. EunSang (Patrick) Park, UC Merced, Equilibrium Surface Coverage for Reversible Adsorption of Dimers on Various Finite Lattice Structures

23. Rodrigo Flores, UC Merced, Heart Condition Diagnosis using Electrocardiography Data

24. Laphatrada Rirchards, UCLA, Innovative Web Applications for Demographic and Health Spatial Data Visualization

25. Jacob Bates, UC Merced, Innullifiable Sets: An Arithmetic Puzzle

26. Kristopher Ramirez, CSU Stanislaus, Machine-learning diffusion for computational fluid dynamics

27. He (Amber) Wei, UC Berkeley, Optimal Control in Complex Dynamical Systems Using Reinforcement Learning

28. Daniela Pineda, UC Merced, Python-Powered Insights: Unraveling Complex Active Fluid Dynamics through Classification

29. Theo Loureaux, UC Merced, Modelling of prion-aggregation processes from polymerization experiments

30. Kyle Wright, UC Merced, Inverse Eigenvalue Difference Problems for Quantum Dots

31. Natalie Meacham, UC Merced, An Inverse Problem to Recover Sensitivity to Treatment in Cancerous Tumors

32. Pablo Curiel, UC Merced, Deep Learning for Segmentation of Aiptasia Colonies

33. Moitrish Majumdar, UC Merced, Rapid recovery of protein-protein interactions using sparse signal reconstruction

Poster Session II (Thursday, October 10, 5:30-7:00pm)

1. Santiago Morales, UC Davis, An exact method for reliable shortest path problems with correlation

2. Matthew Blomquist, UC Merced, Compression of Nuclear Cross Sections and NLTE Data using Tensor Networks

3. Shahram Emami, UC Merced, Continuous Time Markov Chain Kinetic Model of Transcription Factor Binding to DNA

4. Jack Pham, UC Merced, Coupling Large-Scale Wave (WaveWatch III) and Atmospheric (Energy Research Forecasting) Simulations

5. Natalia Rubio, Stanford University, Data-Driven Methods for Reduced-Order Cardiovascular Modeling

6. Branndon Mariscal, UC Riverside, Decay of Solutions to the Inhomogeneous Wave Equation in Cosmological Spacetimes

7. Shashwat Sharan, UC Merced, Dynamics of a superfluid flow in a dambreak problem with external potential

8. Zihan Xu, UC Merced, Extending Statistics-Informed Neural Network to Multidimensional Stochastic Processes

9. Morgan Lavenstein Bendall, UC Merced, Investigating Metabolic Network of Symbiosis Using Genome-scale Metabolic Models

10. Yashleen Sharma, San Francisco State University, Mathematical Methods for the Simulation of Spread of Infectious Diseases

11. Jeremy Mathew, CSU East Bay, Modeling Efficacy of Overdose Prevention Centers: Harnessing Markov Chains for Safer Communities

12. Scott West, UC Merced, Numerical Simulations of Vortex Lines in Transitional Pipe Flow

13. Shila Alizadehghobadi, UC Merced, Optimization-based predictive controller to follow a trajectory with multiple turns

14. Jeffrey Tucker, UC Merced, Physically informed neural networks for synthetic aperture radar imaging

15. Nicholas Rondoni, UC Santa Cruz, Predicting Neuronal Firing from Calcium Imaging Using a Control Theoretic Approach

16. Joseph Simpson, UC Merced, Synthetic Aperture Imaging of Extended Targets

17. Tucker Hartland, Lawrence Livermore National Laboratory, A Scalable Interior-Point Gauss-Newton Method for PDE-Constrained Optimization with Bound Constraints

18. Pieterjan Robbe, Sandia National Laboratories, Bayesian calibration with summary statistics for nuclear fuel creep

19. Jordan Collignon, UC Merced, Characterizing Heterogeneous Yeast Colony Phenotypes using [PSI]-CIC

20. Saurabh Sawant, Lawrence Berkeley National Laboratory, ELEQTRONeX: A GPU-Accelerated Exascale Framework for Modeling Non-Equilibrium Quantum Transport in Nanomaterials 

21. Prabhat Kumar, Lawrence Berkeley National Laboratory, Exascale-enabled modeling framework for ferroelectric thin films for energy-efficient microelectronics

22. M. Ozan Karsavuran, Lawrence Berkeley National Laboratory, Heuristics for Robust Factorization of Sparse Symmetric Indefinite Matrices

23. Joy Bahr-Mueller, Sandia National Laboratories, Polynomial Chaos Surrogate for Stochastic Models with Parametric Uncertainty

24. Elizabeth Glista, Lawrence Livermore National Laboratory, Stochastic Capacity Expansion Planning Considering Interconnection Queue Uncertainty

25. Oscar Thompson, CSU East Bay, Calculating Distance Matrices for the Sierpinski gasket

26. Asriel Camora, UC Merced, Efficient Solvers for Singleplayer Finite-Length Games: Parallel Genetic MCTS and A* with Pareto Optimization

27. Adrian Kisieu, UC Merced, Exploring Feature Modelling and Neural Networks on ECG Signals

28. Elijah Valverde, San Francisco State University, Identifying Diurnal and Seasonal Cycles in Aerosol Data Using Gaussian Processes

29. Axel Muñiz Tello, UC Merced, Modeling Disease Spread Using SIR Agent Framework: A Kinetic Monte Carlo Approach 

30. Eric Brooks, UC Merced, Modelling Blood Flow Distribution in Thymus Vasculature

31. Paul Johnson and Ling Huang (presenter), Sacramento City College, The N2 + 1 Conjecture

32. Tait Weicht, UC Davis, More applications for linear intersections of conic varieties: projected multi-reference alignment

33. Asees Kaur, UC Merced, Improving DSA Image Segmentation with CNNs