2025 SIAM New York-New Jersey-Pennsylvania Section Annual Conference

8:00 - 8:30 (30min)

Registration

8:30 - 10:30 (2h)

Minisymposium Sessions

8:30 - 10:30 (2h)

Recent Developments in Applied Inverse Problems and Imaging

110

Session 2

› Integral equations for linear flexural-gravity waves - Hoskins Jeremy, University of Chicago 08:30-08:54 (24min)

› Super-resolution Imaging in Disordered Media - Alexei Novikov, Penn State 08:54-09:18 (24min)

› A fast reconstruction method for radiating sources in Maxwell's equations - Le Thu, University of Wisconsin-Madison 09:18-09:42 (24min)

› Learning Surrogates and Operator-to-Function Maps for Imaging Inverse Problems - Anuj Abhishek, Case Western Reserve University [Cleveland] 09:42-10:06 (24min)

› A nonlocal boundary value method for fractional parabolic equations - Thi-Phong Nguyen, New Jersey Institute of Technology 10:06-10:30 (24min)

8:30 - 10:30 (2h)

Experimental sciences and mathematical modeling

112

› Linear and nonlinear waves in microwave transmission lines - Stephen Sorokanich, Air Force Research Lab 08:30-08:54 (24min)

› Two-Dimensional foams and coagulation equations with particle emission - Joe Klobusicky, University of Scranton 08:54-09:18 (24min)

› Modeling to understand, predict, and control invasive spotted lanternfly populations - Daniel Stroembom, Lafayette College, Department of Biology 09:18-09:42 (24min)

› Capillary Rise Dynamics Through Fully and Partially Saturated Deformable Porous Material - Javed Siddique, JAVED I SIDDIQUE 09:42-10:06 (24min)

› Using Neural Networks and Persistence Homology to Predict Membrane Filter Throughput - Giovanni Nardone, New Jersey Institute of Technology 10:06-10:30 (24min)

8:30 - 10:30 (2h)

Multiscale Techniques in Scientific Machine Learning

113

› Hybrid Iterative Solvers with Geometry-Aware Neural Preconditioners for Parametric PDEs - Youngkyu Lee, Brown University 08:30-08:54 (24min)

› Deep Neural Networks with General Activations: Super-Convergence in Sobolev Norms - Yahong Yang, School of Mathematics - Georgia Institute of Technology 08:54-09:18 (24min)

› Integral Representations of Sobolev Spaces via ReLU^k Activation Function and Optimal Error Estimates for Linearized Networks - Tong Mao 09:18-09:42 (24min)

› Dualization: from subspace correction to operator splitting and alternating direction methods of multipliers - Boou Jiang, King Abdullah University of Science and Technology [Saudi Arabia] 09:42-10:06 (24min)

8:30 - 10:30 (2h)

Advances in Numerical Linear Algebra and Applications

117

› Kernel Approximation Using the Proxy Point Method via Contour Integration - Mikhail Lepilov 08:30-08:54 (24min)

› Estimating High-Dimensional Covariance Matrices with Hierarchical Rank Structure - 08:54-09:18 (24min)

› A Unified Spectral Approach to Scalar, Linear Volterra Equations - David Darrow, Massachusetts Institute of Technology 09:18-09:42 (24min)

› Modified Lanczos recursions for discrete exterior PDE problems and other large-scale LTI systems with dense spectra - Vladimir Druskin, Worcester Polytechnic Institute, Southern Methodist University [Dallas, TX, USA] 09:42-10:06 (24min)

› Near-optimal Spectral Density Estimation via Explicit and Implicit Deﬂation - Rajarshi Bhattacharjee, University of Massachusetts Amherst 10:06-10:30 (24min)

8:30 - 10:30 (2h)

Recent Advances of Innovative Numerical Methods for Nonlinear PDEs

118

Session 3

› Recent progress in the analysis of the Poisson-Nernst-Planck system - Rolf Ryham, Fordham University [New York] 08:30-08:54 (24min)

› An integral equation method and an asymptotic analysis approach for erosion in porous media - Szu-Pei Fu, Farmingdale State College 08:54-09:18 (24min)

› Solver-in-the-Loop joint operator learning: fractional Laplace-Beltrami features for interface reconstruction - Shuhao Cao, University of Missouri System 09:18-09:42 (24min)

› Surface Navier-Stokes Without Inf-Sup Condition - Mansur Shakipov, University of Maryland [College Park] 09:42-10:06 (24min)

› A general framework to derive linear, decoupled and energy-stable schemes for reversible-irreversible thermodynamically consistent models - Jia Zhao, University of Alabama 10:06-10:30 (24min)

8:30 - 10:30 (2h)

Computational Thermodynamics: Energy and Energy Landscape

119

Session 3

› Accelerating Energy Solutions with High-Entropy Materials: Leveraging Disorder, Computation, and AI - Corey Oses, Johns Hopkins University 08:30-08:54 (24min)

› Thermodynamics of Mg2SiO4 under extreme pressures: Implications for super-Earths' interiors - Donghao Zheng 08:54-09:18 (24min)

› Ferroelastic Hysteresis and Shear-Modulus Softening in CaSiO3 Perovskite - Tianqi Wan, Lamont-Doherty Earth Observatory 09:18-09:42 (24min)

› PyZentropy: Implementing recursive entropy for first-principles thermodynamics in Python - Nigel Hew, Pennsylvania State University 09:42-10:06 (24min)

8:30 - 10:30 (2h)

Partial Differential Equations: Theory and Computations

120

Session 3

› Continuous data assimilation by non-interpolant observables - Vladimir Yushutin, The University of Tennessee [Knoxville] 08:30-08:54 (24min)

› Explicit corrector in homogenization of monotone operators and its application to nonlinear dielectric elastomer composites - Yuliya Gorb, National Science Foundation [Alexandria, VA] 08:54-09:18 (24min)

› Unified spatiotemporal formulations for time-dependent convection-diffusion problems - Seulip Lee, Tufts University 09:18-09:42 (24min)

› Reduced Krylov Basis Methods for Parametric Partial Differential Equations - Cheng Zuo, Department of Mathematics, The Pennsylvania State University 09:42-10:06 (24min)

8:30 - 10:30 (2h)

Quantifying and Controlling Uncertainty in Complex Systems

121

Session 3

› Large Deviation Theory-Informed Importance Sampling for Rare Event Estimation and Control - Shanyin Tong, University of Pennsylvania 08:30-08:54 (24min)

› Extreme event estimation for stochastic differential equations via precise large deviation theory - Timo Schorlepp, Courant Institute of Mathematical Sciences [New York] 08:54-09:18 (24min)

› Randomized Algorithms for Optimal Experimental Design - Vishwas Hebbur Venkata Subba Rao, Argonne national laboratory 09:18-09:42 (24min)

› Kernel Density Estimation Adaptive Importance Sampling with Gaussian Processes for Rare-events Probability Estimation - Ashwin Renganathan, Penn State 09:42-10:06 (24min)

› Scaling Scenario-Based Chance-Constrained Optimization for Rare Events - Jaeseok Choi, Pennsylvania State University 10:06-10:30 (24min)

8:30 - 10:30 (2h)

Recent Advances in Scientific Machine Learning Arising from PDEs

122

Session 3

› Physics-Informed Neural Networks for Solving Two-Phase Flow and Fluid-Structure Interaction Problems with Moving Interfaces - Pengtao Sun, University of Nevada [Las Vegas] 08:30-08:54 (24min)

› Long-Horizon PDE Prediction via Energy-Stable Evolutionary KANs - Guang Lin, Department of mathematics Purdue University 08:54-09:18 (24min)

› Operator learning for hyperbolic PDEs - Christopher Wang, Cornell University 09:18-09:42 (24min)

› Barron Approximation and locally optimal shallow neural networks - Gerrit Welper, University of Central Florida [Orlando] 09:42-10:06 (24min)

8:30 - 10:30 (2h)

Recent Developments for Numerical Methods for PDEs

124

Session 3

› Liquid Crystal Networks preasymptotic energy and its approximation via a Local Discontinuous Galerkin method - Gonzalo Benavides, University of Maryland [College Park] 08:30-08:54 (24min)

› Quantum algorithms for solving PDEs - Xiantao Li, Xiantao Li 08:54-09:18 (24min)

› Advanced Numerical Methodologies for Fluid-Structure Interactions - Pengtao Sun, University of Nevada [Las Vegas] 09:18-09:42 (24min)

› Adaptive Preconditioning of Sparse Linear Systems using Successive Over-Relaxation with Reinforcement Learning - Soha Yusuf 09:42-10:06 (24min)

8:30 - 10:30 (2h)

Computational and Probabilistic Methods: From Theory to Practice

125

Session 3

› Computational and probabilistic methods to understand the dynamics of biological networks - Reka Albert, Penn State System 08:30-09:18 (48min)

› Probabilistic Analysis of Gaussian Elimination - Konstantin Tikhomirov, Department of Mathematical Sciences 09:18-10:06 (48min)

› Random sphere-packing on lattices - Izabella Stuhl, Penn State University 10:06-10:30 (24min)

8:30 - 10:30 (2h)

Physics-Guided & Generative AI for Scientific Computing: Theory, Algorithms and Applications

207

Session 3

› FunDiff: Diffusion models over function spaces for physics-informed generative modeling - Lu Lu, Yale University [New Haven] 08:54-09:18 (24min)

› Quantitative Clustering in Mean-Field Transformer Models - Shi Chen, Department of Mathematics, Massachusetts Institute of Technology 09:18-09:42 (24min)

› A supervised learning scheme for the Hamilton-Jacobi equation via density coupling - Haomin Zhou, Georgia Institute of Technology 10:06-10:30 (24min)

8:30 - 10:30 (2h)

Collective Behavior for Biologically Inspired and Social Systems

208

› Agent-Based Modeling of Collective Foraging and Movement in Bison Herds - Woods Jacob, Temple University [Philadelphia] 08:30-08:54 (24min)

› Neuromorphic Decision Making for Resource Constrained Robot Collectives - Himani Sinhmar, Princeton University 08:54-09:18 (24min)

› Structured heterogeneity leads to group-level selective sensitivity and robustness - Ian Xul Belaustegui, Department of Mechanical and Aerospace Engineering [Princeton] 09:18-09:42 (24min)

› Emergence of cooperative behavior in multi-agent models of thermal huddles - Nicole Zalewski, Temple University 09:42-10:06 (24min)

› Adaptive dynamics of reputation, gossip, and moral norms - Taylor Kessinger, University of Pennsylvania 10:06-10:30 (24min)

8:30 - 10:30 (2h)

Foundation Models: From Theory to Practice

209

Session 2

› Hierarchical Mamba Meets Hyperbolic Geometry: A New Paradigm for Structured Language Embeddings - Mengjia Xu, New Jersey Institute of Technology [Newark] 08:30-08:54 (24min)

› Robust Feature Selection for Trustworthy AI - Anton Xue, University of Texas at Austin [Austin] 08:54-09:18 (24min)

› Surya FM: A foundation model in heliophysics. - Spiridon Kasapis, Department of Astrophysical Sciences, Princeton University 09:18-09:42 (24min)

› In-Context Operator Learning on the Space of Probability Measures - Dixi Wang, Purdue University 09:42-10:06 (24min)

› Multimodal Foundation Model for Accelerating Numerical Simulation of Differential Equations via Error Correction - Jiaxin Yuan, University of Maryland, College Park 10:06-10:30 (24min)

8:30 - 10:30 (2h)

Recent advances in low-rank methods and their applications

210

› A Sampling-Based Adaptive Rank Approach to the Wigner-Poisson System - Sining Gong, Michigan State University [East Lansing] 08:30-08:54 (24min)

› Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension - Yijun Dong, Courant Institute of Mathematical Sciences [New York] 08:54-09:18 (24min)

› Why machine learning researchers should care about low-rank structures? - Annan Yu, Cornell University 09:18-09:42 (24min)

› Efficient oversampled Tensor-Train Cross approximation for large data - Daniel Hayes, University of Delaware [Newark] 09:42-10:06 (24min)

8:30 - 10:30 (2h)

Contributed talks

217

Session 5

› A generalized reduction scheme for the Stochastic Weighted Particle Method - John Zweck, New York Institute of Technology 08:30-08:54 (24min)

› Convergence of Markov Chains for Stochastic Gradient Descent with Separable Functions - Zaleski Philip, New Jersey Institute of Technology 08:54-09:18 (24min)

› Polynomial complexity sampling from multimodal distributions using Sequential Monte Carlo - Ruiyu Han, Carnegie Mellon University [Pittsburgh] 09:18-09:42 (24min)

› Rescuing double robustness: safe estimation under complete misspecification - Lorenzo Testa, Carnegie Mellon University [Pittsburgh] 09:42-10:06 (24min)

8:30 - 10:30 (2h)

Contributed talks

218

Session 6

› Exact analysis of basis pursuit denoising via differential inclusions and a selection principle - Gabriel Provencher Langlois, New York University 08:30-08:54 (24min)

› Lattice Annotated Temporal (LAT) Logic for Non-Markovian Reasoning - Kaustuv Mukherji, Syracuse University 08:54-09:18 (24min)

› On Healthy, Sick, and Dead Equations of Systems of Linear Algebraic Equations - Isom Jurayev, Retired 09:18-09:42 (24min)

› Orthogonality Spaces over Finite Fields - Thang Nguyen, New Mexico State University 09:42-10:06 (24min)

› Synchronization of coupled oscillators on self-similar sets - Matthew Mizuhara, The College of New Jersey 10:06-10:30 (24min)

8:30 - 10:30 (2h)

Contributed talks

219

Session 7

› Inertial Particle Dynamics of Different Shapes in Fluid Flows - Takashi Yashiro, Montclair State University [USA] 08:30-08:54 (24min)

› The Rayleigh Collapse of Two Spherical Bubbles - Daniel Hobbs, Rochester Institute of Technology 08:54-09:18 (24min)

› Optimizing Peristaltic Pump Shapes for Particle Transport in Stokes Flow - Ruowen Liu, Rider University 09:18-09:42 (24min)

› Dynamics of Ocean Kinematic Properties - Denny Kirwan, University of Delaware 09:42-10:06 (24min)

› The Complexities of Discontinuous Attractor Trajectories: Explorations of Periodic Forcing of the Ocean Vorticity Equation - Helga Huntley, Rowan University 10:06-10:30 (24min)

8:30 - 10:30 (2h)

Advances in Modeling and Computation of Transport Problems

216

Session 2

› DATA COMPLETION FOR ELECTRICAL IMPEDANCE TOMOGRAPHY BY CONDITIONAL DIFFUSION MODELS - Ke Chen, University of Delaware 08:30-08:54 (24min)

› Fast Algorithms for A Linear Four-Field Thermo-Poroelastic Model - Mingchao Cai, Morgan State University 08:54-09:18 (24min)

› Binned Spectral Power Loss for Improved Prediction of Chaotic Systems - Dibyajyoti Chakraborty, Pennsylvania State University 09:18-09:42 (24min)

› Moment-enhanced shallow water equations for non-slip boundary conditions - Shiping Zhou, Michigan State University [East Lansing] 09:42-10:06 (24min)

› Data-driven Whitney forms for structure preserving models - Benjamin Shaffer, University of Pennsylvania 10:06-10:30 (24min)

10:30 - 11:00 (30min)

Coffee break

11:00 - 12:00 (1h)

Plenary Talk (Room 100): Jinchao Xu (KAUST & Penn State University)

12:00 - 12:15 (15min)

Closing Remarks

Program Schedule