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

8:00 - 8:30 (30min)

Registration

8:30 - 9:30 (1h)

Opening Remarks & Plenary Talk (Room 100): George Karniadakis (Brown University)

9:30 - 10:00 (30min)

Coffee break

10:00 - 12:00 (2h)

Minisymposium Sessions

10:00 - 12:00 (2h)

Theory, Computation, and Applications for Nonlocal Models

111

Session 1

› Interacting particle dynamics for sampling in high dimensions - Dejan Slepcev, Carnegie Mellon University 10:00-10:24 (24min)

› Compactness Results for a Nonlocal Dirichlet Energy and some applications - Tadele Mengesha, University of Tennessee 10:24-10:48 (24min)

› Recent advances on asymptotically compatible schemes for nonlocal models - Xiaochuan Tian, Department of Mathematics [Univ California San Diego] 10:48-11:12 (24min)

› Nonlocal models with local boundary conditions in semi-supervised learning - James M. Scott, Department of Mathematics and Statistics [Auburn] 11:12-11:36 (24min)

› Data-Driven Particle Dynamics: A Structure-Preserving Method for Emergent Behavior in Nonequilibrium Systems - Max Win, School of Engineering and Applied Science, University of Pennsylvania 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Advances in the Mathematics of Infectious Diseases

112

› Exploring the Feedback Loop Between Behavior and Public Health - Alice Oveson, University System of Maryland 10:00-10:30 (30min)

› Leveraging inter-species competition to improve the effectiveness of the sterile insect technique - Alex Safsten, University of Maryland [College Park] 10:24-10:48 (24min)

› Mathematical assessment of the role of temperature variability on Lyme disease dynamics in Maryland - Salihu Musa, University of Maryland [College Park] 10:48-11:12 (24min)

› Mathematical assessment of the roles of vaccination and Pap screening on the incidence of HPV and related cancers in the Republic of Korea - Soyoung Park, University of Maryland 11:12-11:36 (24min)

› Mathematical modeling of the impact of age-targeted and dose-structured vaccination on malaria dynamics - Arnaja Mitra, University of Maryland 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Recent Mathematical and Computational Modeling Advances in Life Sciences

117

Session 1

› Modeling and nonlinear simulation of solid tumor growth - Shuwang Li, Department of Applied Mathematics 10:00-10:24 (24min)

› Synchronized Optimal Transport - Yanxiang Zhao, George Washington University 10:24-10:48 (24min)

› Evaluate the role of impulsive intervention on some network models - Yanyu Xiao, University of Cincinnati 10:48-11:12 (24min)

› Convergence of the Regularised Immersed Boundary Method - Alexandre Milewski, Courant Institute of Mathematical Sciences [New York] 11:12-11:36 (24min)

› Data-Driven Modeling of Amyloid-beta Targeted Antibodies for Alzheimer's Disease - Kobra Rabiei, Pennsylvania State University 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Recent Advances of Innovative Numerical Methods for Nonlinear PDEs

118

Session 1

› A Locally Conservative Proximal Galerkin Method for Pointwise Bound Constraints - Guosheng Fu, Guosheng Fu 10:00-10:24 (24min)

› Inverse radiative transfer via goal-oriented adaptive mesh refinement - Shukai Du, Syracuse University 10:24-10:48 (24min)

› Simulation of Cascade Gating in Ion Selectivity and Current Regulation - Pei Liu, Florida Institute of Technology 10:48-11:12 (24min)

› Dynamically Regularized Lagrange Multiplier Method for the Incompressible Navier–Stokes Equations: Stability and Convergence - Cao-Kha Doan, Auburn University 11:12-11:36 (24min)

› Energetic Variational Neural Network Discretizations of gradient flows - Yiwei Wang, University of California [Riverside] 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Computational Thermodynamics: Energy and Energy Landscape

119

Session 1

› Entropy as Information: A unified, trajectory-driven route - Qijun Hong, Arizona State University [Tempe] 10:00-10:24 (24min)

› Configurational entropy in solid and liquid silicon - Talid Sinno, University of Pennsylvania 10:24-10:48 (24min)

› Zentropy - Zi-Kui Liu, Department of Materials Science and Engineering, The Pennsylvania State University 10:48-11:12 (24min)

› Energy Landscapes of Electron Hopping in Conductive Polymers: From Single-Chain Dynamics to Device Functionality - Ziyun Miao, Johns Hopkins University 11:12-11:36 (24min)

› ZENN: A Thermodynamics-Inspired Computational Framework for Heterogeneous Data-Driven Modeling - Shun Wang, Department of Mathematics, Penn state University 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Partial Differential Equations: Theory and Computations

120

Session 1

› Operator Splitting Method for Gradient Flows of Harmonic Maps - Lucas Bouck, Carnegie Mellon University 10:00-10:24 (24min)

› Spline-Based Solution Transfer with Potential Applications for Space-Time Methods - Logan Larose, Penn State University 10:24-10:48 (24min)

› Error estimates for the interpolation and approximation of gradients and vector fields on protected Delaunay meshes in R^d - David Williams, Pennsylvania State University 10:48-11:12 (24min)

› Fully discrete error analysis of finite element discretizations of time-dependent Stokes equations in a stream-function formulation - Dmitriy Leykekhman 11:12-11:36 (24min)

10:00 - 12:00 (2h)

Quantifying and Controlling Uncertainty in Complex Systems

121

Session 1

› A Scalable and Extensible Importance Sampling Based Framework for Safety-critical Systems Evaluation - Kostas G. Papakonstantinou, Pennsylvania State University 10:00-10:24 (24min)

› Computing Rare Bifurcations in Dynamical Systems - Anirudh Subramanyam, Pennsylvania State University 10:24-10:48 (24min)

› Reduced-order moment closure models for uncertainty quantification of multiscale complex systems - Di Qi, Department of mathematics Purdue University 10:48-11:12 (24min)

› Conformalized Decision Risk Assessment - Woody Zhu, Carnegie Mellon University [Pittsburgh] 11:12-11:36 (24min)

› A Class of Interpretable and Decomposable Multi-period Convex Risk Measures - Luhao Zhang, Johns Hopkins University 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Recent Advances in Scientific Machine Learning Arising from PDEs

122

Session 1

› Algebraically Precondition a Linear System With Graph Neural Networks - Jie Chen, IBM Research 10:00-10:24 (24min)

› Data-driven discovery of conservation laws, Lax pairs, and system integrability - Wei Zhu, School of Mathematics - Georgia Institute of Technology 10:24-10:48 (24min)

› Adaptive sampling and transfer learning for PDE models - Andreas Aristotelous, University of Akron 10:48-11:12 (24min)

› Multiscale Neural Networks for Approximating Green's Functions - Yahong Yang, School of Mathematics - Georgia Institute of Technology 11:12-11:36 (24min)

› SSBE-PINN: A Sobolev Boundary Scheme Boosting Stability and Accuracy in Elliptic/Parabolic PDE Learning - Chuqi CHEN, the Hong Kong University of Science and Technology 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Recent Developments for Numerical Methods for PDEs

124

Session 1

› Subspace correction methods for semicoercive and nearly semicoercive convex variational problems - Jongho Park, King Abdullah University of Science and Technology [Saudi Arabia] 10:00-10:24 (24min)

› Multiple Solutions of Nonlinear Differential Equations - Sun Lee, The Pennsylvania State University 10:24-10:48 (24min)

› Greedy algorithm based on localized RBFs for solution of fractional convection-diffusion-reaction equation - Reza Mollapourasl, Farmingdale State College - Majid Haghi, Farhangian University 10:48-11:12 (24min)

› Abstract Spectral Approximation Theories and Finite Element Methods for PDE Eigenvalue Problems - Jiguang Sun, Michigan Technological Univeristy 11:12-11:36 (24min)

10:00 - 12:00 (2h)

Computational and Probabilistic Methods: From Theory to Practice

125

Session 1

› A criterion for crystallization in hard-core lattice particle systems - Ian Jauslin, Rutgers University 10:00-10:24 (24min)

› Hydrodynamic limits for interacting particles with two spatial scales - Daniel Chen, Brown University 10:24-10:48 (24min)

› Antithetic Noise in Diffusion Models - Guanyang Wang, Rutgers University 10:48-11:12 (24min)

› Random weights of DNNs and emergence of fixed points - Oleksii Krupchytskyi, Pennsylvania State University 11:12-11:36 (24min)

› Cutoff for the Swendsen-Wang dynamics on the complete graph - Blanca Antonio, Pennsylvania State University 11:36-12:00 (24min)

10:00 - 12:00 (2h)

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

207

Session 1

› Unsupervised Neural Operators for Optimal Control: Scaling Laws and Applications - Wuzhe Xu, Purdue University 10:24-10:48 (24min)

› Learning Hyperbolic Conservation Laws from Data - Lizuo Liu, Dartmouth College 10:48-11:12 (24min)

› From Equations to Insights: Unraveling Symbolic Structures in PDEs with LLMs - Ling Liang, The University of Tennessee [Knoxville] 11:12-11:36 (24min)

› Variationally stable reduced basis neural operator - Yuan Qiu, Georgia Institute of Technology [Atlanta] 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Optimal Transport in Biological Sciences

208

Session 1

› Optimal transport reveals dynamic gene regulatory networks via gene velocity estimation - Ritambhara Singh, Department of Computer Science 10:00-10:24 (24min)

› Optimal Transport based metrics and statistics for quantifying cell shape heterogeneity - Wenjun Zhao, Wake Forest University 10:24-10:48 (24min)

› Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging - Amartya Banerjee, University of North Carolina at Chapel Hill 10:48-11:12 (24min)

› Generative Particle Flows with Force-Matching for Reconstructing Nonlinear Cellular Dynamics - Hyemin Gu, University of Massachusetts [Amherst] 11:12-11:36 (24min)

› Synchronized Optimal Transport for Trajectory Inference in Biological Systems - Jingfeng Wang, North Carolina State University 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Low-Rank Adaptation for Efficient Fine-Tuning in Foundation Models

209

› Bridging Model Heterogeneity via LoRA-Based Knowledge Distillation in Federated Learning - Yujia Wang, Pennsylvania State University 10:00-10:24 (24min)

› Non-Convex Tensor Recovery from Tube-Wise Sensing - Tongle Wu, Department of Electrical Engineering, The Pennsylvania State University. 10:24-10:48 (24min)

› Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources - Jiamu Bai, Pennsylvania State University 10:48-11:12 (24min)

› FLoRA: Federated Fine-Tuning Foundation Models with Heterogeneous Low-Rank Adaptations - Ziyao Wang, University of Maryland [College Park] 11:12-11:36 (24min)

› PrunedLoRA: Efficient and Robust Gradient-Based Structural Pruning for Low-rank Adaptation in Fine-tuning - Xin Yu, Xin Yu 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Nonlinear Waves in Fluids

210

Session 1

› Exact solution and integrability of ballistic motion of fluid with free surface - Pavel Lushnikov, University of New Mexico 10:00-10:24 (24min)

› Instabilities of steep Stokes waves - Sergey Dyachenko, State University of New York at Buffalo 10:24-10:48 (24min)

› Well-posedness and stability of the Benjamin-Ono equation with quasiperiodic initial data - Sultan Aitzhan, Drexel University 10:48-11:12 (24min)

› Riemann problems, rarefaction waves, dispersive shocks and soliton refraction in the stationary Kadomtsev-Petviashvili and good Boussinesq equations - Lin Haodong, State University of New York at Buffalo 11:12-11:36 (24min)

› Recent progress on soliton gases in two spatial dimensions - Gino Biondini, State University of New York [Buffalo] 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Recent advances in quantum machine learning

215

Session 1

› Derivative-Free Quasi-Newton Optimization for Variational Quantum Algorithms - Dongwei Shi, Lehigh University [Bethlehem] 10:00-10:24 (24min)

› Operator-Level Quantum Acceleration of Non-Logconcave Sampling - Jiaqi Leng, University of California [Berkeley] 10:24-10:48 (24min)

› Recent Progress in Quantum Eigenvalue Problems - Ruizhe Zhang, Department of Computer Science [Purdue] 10:48-11:12 (24min)

› On the practical boundary of quantum computing advantages - Junyu Liu, University of Pittsburgh 11:12-11:36 (24min)

› Critical Perspectives on Quantum Computing for Power System Computational Problems - Masoud Barati, University of Pittsburgh 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Advances in Modeling and Computation of Transport Problems

216

Session 1

› Reduced Basis Methods for Parametric Steady-State Radiative Transfer Equation - Fengyan Li, Rensselaer Polytechnic Institute 10:00-10:24 (24min)

› A Nodal Discontinuous Galerkin Method with Low-Rank Velocity Space Representation for the Multi-Scale BGK Model - Joseph Nakao, Swarthmore College 10:24-10:48 (24min)

› A Conservative and Positivity-Preserving Discontinuous Galerkin Method for the Population Balance Equation - Ziyao Xu, Binghamton University 10:48-11:12 (24min)

› Adaptive-Rank Methods for the Multi-Scale BGK Equation via Greedy Sampling - William Sands, University of Delaware 11:12-11:36 (24min)

› Invariant Measures for Data-Driven Dynamical System Identification - Jonah Botvinick-Greenhouse, Cornell University 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Scientific Machine Learning with Robust Computation

217

Session 1

› An efficient algorithm for computing the stationary statistical solution of some geophysical fluid systems - Daozhi Han, SUNY at Buffalo 10:00-10:24 (24min)

› Uncertainty in Uncertainty and Rockafellian Relaxation - Sean Carney, Union College 10:24-10:48 (24min)

› Scientific machine learning for blood glucose regulation in type 1 diabetes - Yixiang Deng, Brown University, University of Delaware 10:48-11:12 (24min)

› A numerical method for PDEs via stochastic particle trajectories - Jihun Han, University at Albany [SUNY] 11:12-11:36 (24min)

10:00 - 12:00 (2h)

Contributed talks

218

Session 1

› A Modified Hermite Radial Basis Function for Accurate Interpolation - Amirhossein Fashamiha, University at Buffalo [SUNY] 10:00-10:24 (24min)

› Cryo-EM images are intrinsically low-dimensional - Luke Evans, Center for Computational Mathematics, Flatiron Institute 10:24-10:48 (24min)

› Dense binary images have large connected components - Kyle Fridberg, Center for Applied Mathematics [Ithaca] 10:48-11:12 (24min)

› HV Metric For Time-Domain Full Waveform Inversion - Matej Neumann, Department of Mathematics [Cornell] 11:12-11:36 (24min)

› Image Registration and Direct Inversion in the Ultrasound Elasticity Imaging Field - Rebecca Rodrigues, Rochester Institute of Technology 11:36-12:00 (24min)

10:00 - 12:00 (2h)

Contributed talks

219

Session 2

› An Explicit Description of Implementation of 4D, H(div)-conforming Simplicial Finite Elements in MFEM - Saber Patrick, Pennsylvania State University 10:00-10:24 (24min)

› Complete and Final Solution to the Problem of Rounding Errors and Their Accumulation in Python - Isom Jurayev, Retired 10:24-10:48 (24min)

› Polynomial Extrapolation for Error Mitigation in Quantum Simulation - Pegah Mohammadipour, Pennsylvania State University 10:48-11:12 (24min)

› The many faces of stiffness: How a Runge-Kutta method can exhibit multiple convergence orders at the same time - Benjamin Seibold, Temple University [Philadelphia] 11:12-11:36 (24min)

10:00 - 12:00 (2h)

Computational Dynamics

110

› MSE Culpa - Why the mean-squared-error is not enough for machine learning of chaotic dynamical systems - Romit Maulik, Pennsylvania State University 10:00-10:24 (24min)

› Modal Analysis of Quasi-Periodic Systems via Multi-variate Gaussian Process Regression - Jiwoo Song, The Pennsylvania State University 10:24-10:48 (24min)

› Koopman Eigenfunctions, Synchronization, and Arnold Tongues for Coupled Stochastic Oscillators - Maxwell Kreider, Pennsylvania State University 10:48-11:12 (24min)

› Geometric local parameterization for solving Hele-Shaw problems with surface tension - Zengyan Zhang, Pennsylvania State University 11:12-11:36 (24min)

› A Fully Implicit Hybrid Method for Kinetic Equations: Efficient Time Integration via Coarse-Fine Velocity Grid Coupling - Evan Habbershaw, Pennsylvania State University 11:36-12:00 (24min)

12:00 - 13:30 (1h30)

Lunch (Dining Hall)

12:00 - 13:30 (1h30)

Poster Session

13:30 - 14:30 (1h)

Plenary Talk (Room 100): Abba Gumel (University of Maryland)

14:30 - 16:30 (2h)

Minisymposium Sessions

14:30 - 16:30 (2h)

Recent Advances in Numerical Scheme-Inspired Data-driven Methods

216

› Convergence and Performance of Finite-Difference-Based Methods for Noisy Black-Box Optimization - Dat Tran, Rowan University 14:30-14:54 (24min)

› Neural Networks with Trainable Matrix Activation Functions - Zhengqi Liu 14:54-15:18 (24min)

› The Measure Theoretic Koopman Operator - Maria Oprea, Cornell University 15:18-15:42 (24min)

› Fine-tuning Spatiotemporal Operator Learning for Turbulent Flows - Shuhao Cao, University of Missouri System 15:42-16:06 (24min)

14:30 - 16:30 (2h)

Scientific Machine Learning for Dynamical Systems and Inverse Problems

220

› Physics-scaling informed data-driven turbulent inflow generation - Xiang Yang, Pennsylvania State University 14:30-14:54 (24min)

› Bayesian Inversion for Elliptic PDEs on unknown manifolds - John Harlim, The Pennsylvania State University 14:54-15:18 (24min)

› Multimodal Atmospheric Super-Resolution With Deep Generative Models - Haiwen Guan, The Pennsylvania State University 15:18-15:42 (24min)

› Hyperbolic machine learning moment closures for kinetic equations - Juntao Huang, Department of Mathematical Sciences 15:42-16:06 (24min)

› Parametrizing Contact Diffeomorphisms - George Kevrekidis, Johns Hopkins University 16:06-16:30 (24min)

14:30 - 16:30 (2h)

Recent Developments in Applied Inverse Problems and Imaging

110

Session 1

› Extending Qualitative Methods to Biharmonic Scattering - Isaac Harris, Purdue University 14:30-14:54 (24min)

› All-at-once alternating minimization method for an inverse medium scattering problem - Thanh Nguyen 14:54-15:18 (24min)

› Identifying defective units in infinite periodic arrays of sources - Nhung Nguyen, Kansas State University 15:18-15:42 (24min)

› Statistical Inversion using Deep Network and Level Set Methods for Diffuse Optical Imaging - Taufiquar Khan, University of North Carolina at Charlotte 15:42-16:06 (24min)

› Inside-out duality for scattering poles - Jiguang Sun, Michigan Technological Univeristy 16:06-16:30 (24min)

14:30 - 16:30 (2h)

Theory, Computation, and Applications for Nonlocal Models

111

Session 2

› Interplay between Inertia and Viscous Stress in Continuum Defect Dynamics - Kaushik Dayal, Carnegie Mellon University [Pittsburgh] 14:30-14:54 (24min)

› Nonlocal Models for Traffic Flow - Wen Shen, Pennsylvania State University 14:54-15:18 (24min)

› Seamless multiphysics coupling with peridynamics enabled by nodal finite element approximation - Prashant K. Jha, South Dakota School of Mines and Technology 15:18-15:42 (24min)

› Nonlinear Fractional Modeling of Viscoelasticity in Biotissues - Ziwei Yang, Lehigh University [Bethlehem] 15:42-16:06 (24min)

› Monotone Nonlocal Neural Operator for Material Modeling with Conditionally Unique Solutions - Yue Yu, Lehigh University 16:06-16:30 (24min)

14:30 - 16:30 (2h)

Mathematical modelling for infectious diseases and interventions

112

› A General Analytic Approach to Predicting the Best Antibiotic Dosing Regimen - Leah Childers, Pennsylvania State University 14:30-14:54 (24min)

› Inference of asymptomatic carriers of antimicrobial-resistant organisms in healthcare settings using multimodal observations - Sen Pei, Columbia University 14:54-15:18 (24min)

› Multiple Rational Behaviors in a Cholera Intervention Game - Connor Olson, Pennsylvania State University 15:18-15:42 (24min)

› Modeling PrEP-on-demand strategies to prevent HIV transmission - Jessica Conway, Pennsylvania State University 15:42-16:06 (24min)

› Stochastic Models of Viral Replication Dynamics: Extinction of Virus and Host - Rahnuma Islam, University of Pittsburgh, University of Pittsburgh 16:06-16:30 (24min)

14:30 - 16:30 (2h)

AI for Math

113

› Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series? - Zewen Liu, Emory University 14:30-14:54 (24min)

› Derivation of physical equations for high-speed laser welding using large language models - Zhengxiao Yu, Pennsylvania State University 14:54-15:18 (24min)

› FoVer: Training Step-Level Reasoning Verifiers with Formal Verification Tools - Ryo Kamoi, Pennsylvania State University 15:18-15:42 (24min)

› The Quest for Open-Source Olympiad AI - Hamed Mahdavi, Pennsylvania State University 15:42-16:06 (24min)

14:30 - 16:30 (2h)

Recent Mathematical and Computational Modeling Advances in Life Sciences

117

Session 2

› Virtual Cohorts for Within‑Host Cholera and Immune Dynamics - Harsh Jain, Department of Mathematical Sciences, University of Minnesota [Duluth] 14:30-14:54 (24min)

› Modeling treatment of osteoarthritis with standard therapy and senolytic drugs - Nourridine Siewe, Rochester Institute of Technology 14:54-15:18 (24min)

› Toward Governing Equations for Agent-Based SIR Models: Calibrating Time-Varying Transmission - Erick Anderson, University of Minnesota [Duluth] 15:18-15:42 (24min)

› A Systematic Computational Framework for Practical Identifiability Analysis - Shun Wang, Department of Mathematics, Penn state University 15:42-16:06 (24min)

› Who's In and Who's Out: Leveraging Homogeneous Preclinical Data to Extrapolate Tumor Growth Outcomes Across Heterogeneous Populations - Chloe George 16:06-16:30 (24min)

14:30 - 16:30 (2h)

Recent Advances of Innovative Numerical Methods for Nonlinear PDEs

118

Session 2

› An Efficient, Decoupled, and Linearly Stabilized Scheme for Phase-Field Models with Variable Mobility - Zhiwei Zhang, Department of Applied Mathematics, Illinois Institute of Technology 14:30-14:54 (24min)

› Analysis and Computation of a Generalized Ohta-Kawasaki Model - Yanxiang Zhao, George Washington University 14:54-15:18 (24min)

› Stability and Time-Step Constraints of Exponential Time Differencing Runge–Kutta Discontinuous Galerkin Methods for Advection-Diffusion Equations - Ziyao Xu, Binghamton University 15:18-15:42 (24min)

› Efficient optimization-based invariant-domain-preserving limiter for high-order discontinuous Galerkin methods of solving compressible Euler equations - Chen Liu, University of Arkansas [Fayetteville] 15:42-16:06 (24min)

› Structure-preserving reduced order models for thermodynamically consistent reversible-irreversible PDEs - Zengyan Zhang, The Pennsylvania State University 16:06-16:30 (24min)

14:30 - 16:30 (2h)

Computational Thermodynamics: Energy and Energy Landscape

119

Session 2

› Melting of planetary materials determined by machine learning potentials - Jie Deng, Department of Geosciences [Princeton] 14:30-14:54 (24min)

› Designing selective cell targeting with multivalent interactions - Tine Curk, Johns Hopkins University 14:54-15:18 (24min)

› Zentropy and the Recursive Property of Entropy for the Calculation of Free Energy Landscapes - Luke Myers, Pennsylvania State University 15:18-15:42 (24min)

› Thermoelasticity and the free energy landscape of H-bond disorder and symmetrization: atomistic simulations of δ-AlOOH at high pressure - Chenxing Luo, Columbia University, Department of Geosciences [Princeton] 15:42-16:06 (24min)

› Ab-initio CALPHAD modeling of NaNH2BH3 for solid-state H2 storage applications - Ricardo Amaral, Department of Energy and Mineral Engineering, The Pennsylvania State University 16:06-16:30 (24min)

14:30 - 16:30 (2h)

Partial Differential Equations: Theory and Computations

120

Session 2

› Lᵖ-based theory for PDEs on closed manifolds of minimal regularity: A novel and elementary approach - Gonzalo Benavides, University of Maryland [College Park] 14:30-14:54 (24min)

› Surface Stokes Without Inf-Sup Condition - Mansur Shakipov, University of Maryland [College Park] 14:54-15:18 (24min)

› A priori error analysis of the proximal Galerkin method for variational problems with inequality constraints - Masri Rami, Brown University 15:18-15:42 (24min)

› FINITE ELEMENT APPROXIMATION TO LINEAR, SECOND ORDER, PARABOLIC EQUATIONS WITH L1 DATA - Abner Salgado, University of Tennessee System 15:42-16:06 (24min)

› Quasi-neutral limit and the mixer layer problem of Planck-Nernst-Poisson-Navier-Stokes equations for electro-hydrodynamics - Shu Wang, Beijing University of Technology 16:06-16:30 (24min)

14:30 - 16:30 (2h)

Quantifying and Controlling Uncertainty in Complex Systems

121

Session 2

› How to build a consistency model: Learning flow maps via self-distillation - Boffi Nicholas, Machine Learning Department [Carnegie Mellon Univ.] 14:30-14:54 (24min)

› On Over-Parametrized Models and Sobolev Training - Li Matthew, University of Massachusetts [Amherst] 14:54-15:18 (24min)

› Hyperparameter optimization for Gaussian process methods - Nicholas Nelsen, Department of Mathematics [Cornell] 15:18-15:42 (24min)

› Bridging the Model Hierarchy: A Physics-Guided Machine Learning Framework for High-Resolution Climate Simulation Enhancement - Pouria Behnoudfar, University of Wisconsin Madison 15:42-16:06 (24min)

› Spectral Regularized Kernel Two-Sample Tests - Omar Hagrass, Princeton university, department of operations research and financial engineering 16:06-16:30 (24min)

14:30 - 16:30 (2h)

Recent Advances in Scientific Machine Learning Arising from PDEs

122

Session 2

› Neural Approximate Inverse Preconditioners - Yuanzhe Xi, Emory University [Atlanta, GA] 14:30-14:54 (24min)

› A Natural Deep Ritz Method for Essential Boundary Value Problems - Shuo Zhang, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences 14:54-15:18 (24min)

› Computing ground states of Bose-Einstein condensation by normalized deep neural network - Zhipeng Chang, Pennsylvania State University 15:18-15:42 (24min)

› Randomized Greedy Algorithms for Neural Network Optimization in Solving PDEs - Xiaofeng Xu, Pennsylvania State University 15:42-16:06 (24min)

› Randomized subspace correction methods for convex optimization - Jongho Park, King Abdullah University of Science and Technology [Saudi Arabia] 16:06-16:30 (24min)

14:30 - 16:30 (2h)

Recent Developments for Numerical Methods for PDEs

124

Session 2

› Structure-preserving Discretization of the Poisson-Nernst-Planck Equations via the Onsager Principle - Hailiang Liu, Iowa State University 14:30-14:54 (24min)

› Discretization analysis for a convection-diffusion problem - Constantin Bacuta, Constantin Bacuta 14:54-15:18 (24min)

› Numerical Approximation for Equations with Line Dirac Sources - Hengguang Li, Wayne State University 15:18-15:42 (24min)

› Hierarchical Preconditioning for Stochastic Optimal Control Problems - Zhendong Li, Lehigh University - Bedřich Sousedík, University of Maryland [Baltimore County] - Akwum Onwunta, Lehigh University 16:06-16:30 (24min)

14:30 - 16:30 (2h)

Computational and Probabilistic Methods: From Theory to Practice

125

Session 2

› Spin system dynamics beyond worst-case initialization - Gheissari Reza, Northwestern University [Evanston] 14:30-14:54 (24min)

› Facilitating Efficiency of Deep Neural Networks using Marchenko-Pastur Distribution - Mariia Kiyashko, Pennsylvania State University 14:54-15:18 (24min)

› Percolation and Criticality in Hyperuniform Networks - Yongyi Wang, Pennsylvania State University 15:18-15:42 (24min)

› Markov chain resetting: a general view - Yuri Suhov, Penn State 15:42-16:06 (24min)

14:30 - 16:30 (2h)

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

207

Session 2

› Error Analysis of Operator Learning on the Space of Probability Measures - Frank Cole, University of Minnesota [Twin Cities] 14:30-14:54 (24min)

› Constrained Policy Optimization for Large Language Model Alignment - Dongsheng Ding, The University of Tennessee [Knoxville] 14:54-15:18 (24min)

› On exploration of an interior mirror descent flow for stochastic nonconvex constrained problem - Kuangyu Ding, School of Industrial Engineering, Purdue University 15:18-15:42 (24min)

› LoDAdaC: a unified local training-based decentralized framework with Adam-type updates and compressed communication - Yangyang Xu, Rensselaer Polytechnic Institute 15:42-16:06 (24min)

14:30 - 16:30 (2h)

Optimal Transport in Biological Sciences

208

Session 2

› Cryo-EM as a Stochastic Inverse Problem - Diego Balam Sanchez Espinosa, Cornell University [Ithaca] 14:30-14:48 (18min)

› Robust Molecular Structure Comparison via Optimal Transport - Xiaoqi Wei, North Carolina State University [Raleigh] 14:54-15:18 (24min)

› Machine-Learning Interatomic Potentials for Long-Range Systems - Yajie Ji, Yale University 15:18-15:42 (24min)

› Optimal Transport Modeling of Cellular Differentiation: From Low-Rank Structure to Temporal Dynamics - Peter Halmos, Computer Science Department [Princeton] 15:42-16:06 (24min)

14:30 - 16:30 (2h)

Foundation Models: From Theory to Practice

209

Session 1

› Towards Interpretable Time Series Foundation Models - Tengfei Ma, Stony Brook University 14:30-14:54 (24min)

› Sparse and Low-Dimensional Structures in Deep Networks - Akshay Rangamani, New Jersey Institute of Technology [Newark] 14:54-15:18 (24min)

› A Foundation Model Approach for Learning Causal Graphs - Naiyu Yin, Lehigh University 15:18-15:42 (24min)

› PDE Foundation Model: Generalization, Learning to Learn and more - Jingmin Sun, Johns Hopkins University 15:42-16:06 (24min)

› Toward Universal Foundation Model for Neuroimaging - Huang Haoxu, New York University 16:06-16:30 (24min)

14:30 - 16:30 (2h)

Nonlinear Waves in Fluids

210

Session 2

› Stokes Waves and Their New Secondary Bifurcations - Anastassiya Semenova, Rochester Institute of Technology 14:30-14:54 (24min)

› Breather interactions in the discrete Manakov system - Nicholas Ossi, State University of New York at Buffalo 14:54-15:18 (24min)

› Generalized Constantin-Lax-Majda Equation with Dissipation - Denis Silantyev, University of Colorado [Colorado Springs] 15:18-15:42 (24min)

14:30 - 16:30 (2h)

Recent advances in quantum machine learning

215

Session 2

› Quantum DeepONet: Neural operators accelerated by quantum computing - Pengpeng Xiao, Yale University [New Haven] 14:30-14:54 (24min)

› Quantum Machine Learning Applications in High Energy Physics and Beyond - Konstantin Matchev, University of Alabama [Tuscaloosa] 14:54-15:18 (24min)

› Quantum-Assisted Machine Learning for Physics AI and Surrogate Modeling - Alex Khan, BQP 15:18-15:42 (24min)

› Quantum-Inspired Hamiltonian Descent for LLM Sparsification - Yuxiang Peng, Department of Computer Science [Purdue] 15:42-16:06 (24min)

› PolarGrad: A Class of Matrix-Gradient Optimizers from a Unifying Preconditioning Perspective - Weijie Su, University of Pennsylvania 16:06-16:30 (24min)

14:30 - 16:30 (2h)

Scientific Machine Learning with Robust Computation

217

Session 2

› Data-Driven Modeling with the Koopman Operator - Andrew Horning, Rensselaer Polytechnic Institute 14:30-14:54 (24min)

› Data Uniformity Improves Training Efficiency and More, with a Convergence Framework Beyond the NTK Regime - Yuqing Wang, Johns Hopkins University 14:54-15:18 (24min)

› Neural Correction Operator: solving EIT with operator learning and conditional diffusion model - Ke Chen, University of Delaware 15:18-15:42 (24min)

14:30 - 16:30 (2h)

Contributed talks

218

Session 3

› Modeling Regulatory Crosstalk among Cellular Pathways in Colorectal Cancer - Pascal Kingsley Kataboh, Swarthmore College 14:54-15:18 (24min)

› Persistence of Lotka-Volterra Food Chains Using an Averaged Rate Model - Sepideh Vafaie, Montclair State University [USA] 15:18-15:42 (24min)

› Quantification of the Economic and Environmental Value of a Green Hydrogen Energy Market in the United States - Ashira Mawji, Cornell University 15:42-16:06 (24min)

› Estimation of Degradation rate in Biological cells - Lan Trinh, Department of Mathematics [Tulane, New Orleans] 16:06-16:30 (24min)

14:30 - 16:30 (2h)

Contributed talks

219

Session 4

› Asymptotic Expansion of the Iterated Solution in the Case of Multiple Scattering Configurations - Souaad Lazergui, New Jersey Institute of Technology [Newark] 14:30-14:54 (24min)

› Modeling and Simulation of the Cholesteric Landau–de Gennes model - Andrew Hicks, Carnegie Mellon University [Pittsburgh] 14:54-15:18 (24min)

› The Phase Space of the Three-Vortex Problem and Its Application to Vortex-Dipole Scattering - Roy Goodman, New Jersey Institute of Technology 15:18-15:42 (24min)

14:30 - 16:30 (2h)

New Algorithms and Theory for Reinforcement Learning

222

› Explainable reinforcement learning from human feedback to improve language model alignment - Shicheng Liu, Pennsylvania State University 14:30-14:54 (24min)

› Data-Driven Knowledge Transfer in Batch Q* Learning - Wenbo Jing, New York University 14:54-15:18 (24min)

› Federated Online Reinforcement Learning - Zhong Zheng, University of Pennsylvania 15:18-15:42 (24min)

› Robust Decision Making Without Compromising Learning Efficiency - Laixi Shi, Department of Electrical and Computer Engineering [Johns Hopkins University] 15:42-16:06 (24min)

› Gap-Dependent Analysis for Online Q-Learning - Haochen Zhang, Pennsylvania State University 16:06-16:30 (24min)

16:30 - 17:00 (30min)

Coffee break

17:00 - 18:00 (1h)

Plenary Talk (Room 100): Noel Walkington (Carnegie Mellon University)

18:30 - 20:00 (1h30)

Banquet and Business Meeting

at Nittany Lion INN Ballroom ABC