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08:00 - 08:30
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Registration |
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08:30 - 09:30
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Opening Remarks & Plenary Talk (Room 100): George Karniadakis (Brown University) |
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09:30 - 10:00
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Coffee break |
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10:00 - 12:00
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Minisymposium Sessions |
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10:00 - 12:00
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Theory, Computation, and Applications for Nonlocal Models (111) - Session 1 |
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10:00 - 10:24 |
› Interacting particle dynamics for sampling in high dimensions - Dejan Slepcev, Carnegie Mellon University |
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10:24 - 10:48 |
› Compactness Results for a Nonlocal Dirichlet Energy and some applications - Tadele Mengesha, University of Tennessee |
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10:48 - 11:12 |
› Recent advances on asymptotically compatible schemes for nonlocal models - Xiaochuan Tian, Department of Mathematics [Univ California San Diego] |
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11:12 - 11:36 |
› Nonlocal models with local boundary conditions in semi-supervised learning - James M. Scott, Department of Mathematics and Statistics [Auburn] |
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11:36 - 12:00 |
› 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 |
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10:00 - 12:00
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Advances in the Mathematics of Infectious Diseases (112) |
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10:00 - 10:30 |
› Exploring the Feedback Loop Between Behavior and Public Health - Alice Oveson, University System of Maryland |
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10:24 - 10:48 |
› Leveraging inter-species competition to improve the effectiveness of the sterile insect technique - Alex Safsten, University of Maryland [College Park] |
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10:48 - 11:12 |
› Mathematical assessment of the role of temperature variability on Lyme disease dynamics in Maryland - Salihu Musa, University of Maryland [College Park] |
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11:12 - 11:36 |
› 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 |
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11:36 - 12:00 |
› Mathematical modeling of the impact of age-targeted and dose-structured vaccination on malaria dynamics - Arnaja Mitra, University of Maryland |
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10:00 - 12:00
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Recent Mathematical and Computational Modeling Advances in Life Sciences (117) - Session 1 |
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10:00 - 10:24 |
› Modeling and nonlinear simulation of solid tumor growth - Shuwang Li, Department of Applied Mathematics |
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10:24 - 10:48 |
› Synchronized Optimal Transport - Yanxiang Zhao, George Washington University |
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10:48 - 11:12 |
› Evaluate the role of impulsive intervention on some network models - Yanyu Xiao, University of Cincinnati |
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11:12 - 11:36 |
› Convergence of the Regularised Immersed Boundary Method - Alexandre Milewski, Courant Institute of Mathematical Sciences [New York] |
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11:36 - 12:00 |
› Data-Driven Modeling of Amyloid-beta Targeted Antibodies for Alzheimer's Disease - Kobra Rabiei, Pennsylvania State University |
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10:00 - 12:00
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Recent Advances of Innovative Numerical Methods for Nonlinear PDEs (118) - Session 1 |
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10:00 - 10:24 |
› A Locally Conservative Proximal Galerkin Method for Pointwise Bound Constraints - Guosheng Fu, Guosheng Fu |
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10:24 - 10:48 |
› Inverse radiative transfer via goal-oriented adaptive mesh refinement - Shukai Du, Syracuse University |
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10:48 - 11:12 |
› Simulation of Cascade Gating in Ion Selectivity and Current Regulation - Pei Liu, Florida Institute of Technology |
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11:12 - 11:36 |
› Dynamically Regularized Lagrange Multiplier Method for the Incompressible Navier–Stokes Equations: Stability and Convergence - Cao-Kha Doan, Auburn University |
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11:36 - 12:00 |
› Energetic Variational Neural Network Discretizations of gradient flows - Yiwei Wang, University of California [Riverside] |
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10:00 - 12:00
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Computational Thermodynamics: Energy and Energy Landscape (119) - Session 1 |
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10:00 - 10:24 |
› Entropy as Information: A unified, trajectory-driven route - Qijun Hong, Arizona State University [Tempe] |
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10:24 - 10:48 |
› Configurational entropy in solid and liquid silicon - Talid Sinno, University of Pennsylvania |
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10:48 - 11:12 |
› Zentropy - Zi-Kui Liu, Department of Materials Science and Engineering, The Pennsylvania State University |
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11:12 - 11:36 |
› Energy Landscapes of Electron Hopping in Conductive Polymers: From Single-Chain Dynamics to Device Functionality - Ziyun Miao, Johns Hopkins University |
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11:36 - 12:00 |
› ZENN: A Thermodynamics-Inspired Computational Framework for Heterogeneous Data-Driven Modeling - Shun Wang, Department of Mathematics, Penn state University |
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10:00 - 12:00
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Partial Differential Equations: Theory and Computations (120) - Session 1 |
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10:00 - 10:24 |
› Operator Splitting Method for Gradient Flows of Harmonic Maps - Lucas Bouck, Carnegie Mellon University |
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10:24 - 10:48 |
› Spline-Based Solution Transfer with Potential Applications for Space-Time Methods - Logan Larose, Penn State University |
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10:48 - 11:12 |
› Error estimates for the interpolation and approximation of gradients and vector fields on protected Delaunay meshes in R^d - David Williams, Pennsylvania State University |
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11:12 - 11:36 |
› Fully discrete error analysis of finite element discretizations of time-dependent Stokes equations in a stream-function formulation - Dmitriy Leykekhman |
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10:00 - 12:00
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Quantifying and Controlling Uncertainty in Complex Systems (121) - Session 1 |
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10:00 - 10:24 |
› A Scalable and Extensible Importance Sampling Based Framework for Safety-critical Systems Evaluation - Kostas G. Papakonstantinou, Pennsylvania State University |
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10:24 - 10:48 |
› Computing Rare Bifurcations in Dynamical Systems - Anirudh Subramanyam, Pennsylvania State University |
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10:48 - 11:12 |
› Reduced-order moment closure models for uncertainty quantification of multiscale complex systems - Di Qi, Department of mathematics Purdue University |
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11:12 - 11:36 |
› Conformalized Decision Risk Assessment - Woody Zhu, Carnegie Mellon University [Pittsburgh] |
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11:36 - 12:00 |
› A Class of Interpretable and Decomposable Multi-period Convex Risk Measures - Luhao Zhang, Johns Hopkins University |
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10:00 - 12:00
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Recent Advances in Scientific Machine Learning Arising from PDEs (122) - Session 1 |
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10:00 - 10:24 |
› Algebraically Precondition a Linear System With Graph Neural Networks - Jie Chen, IBM Research |
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10:24 - 10:48 |
› Data-driven discovery of conservation laws, Lax pairs, and system integrability - Wei Zhu, School of Mathematics - Georgia Institute of Technology |
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10:48 - 11:12 |
› Adaptive sampling and transfer learning for PDE models - Andreas Aristotelous, University of Akron |
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11:12 - 11:36 |
› Multiscale Neural Networks for Approximating Green's Functions - Yahong Yang, School of Mathematics - Georgia Institute of Technology |
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11:36 - 12:00 |
› 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 |
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10:00 - 12:00
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Recent Developments for Numerical Methods for PDEs (124) - Session 1 |
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10:00 - 10:24 |
› Subspace correction methods for semicoercive and nearly semicoercive convex variational problems - Jongho Park, King Abdullah University of Science and Technology [Saudi Arabia] |
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10:24 - 10:48 |
› Multiple Solutions of Nonlinear Differential Equations - Sun Lee, The Pennsylvania State University |
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10:48 - 11:12 |
› Greedy algorithm based on localized RBFs for solution of fractional convection-diffusion-reaction equation - Reza Mollapourasl, Farmingdale State College - Majid Haghi, Farhangian University |
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11:12 - 11:36 |
› Abstract Spectral Approximation Theories and Finite Element Methods for PDE Eigenvalue Problems - Jiguang Sun, Michigan Technological Univeristy |
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10:00 - 12:00
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Computational and Probabilistic Methods: From Theory to Practice (125) - Session 1 |
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10:00 - 10:24 |
› A criterion for crystallization in hard-core lattice particle systems - Ian Jauslin, Rutgers University |
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10:24 - 10:48 |
› Hydrodynamic limits for interacting particles with two spatial scales - Daniel Chen, Brown University |
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10:48 - 11:12 |
› Antithetic Noise in Diffusion Models - Guanyang Wang, Rutgers University |
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11:12 - 11:36 |
› Random weights of DNNs and emergence of fixed points - Oleksii Krupchytskyi, Pennsylvania State University |
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11:36 - 12:00 |
› Cutoff for the Swendsen-Wang dynamics on the complete graph - Blanca Antonio, Pennsylvania State University |
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10:00 - 12:00
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Physics-Guided & Generative AI for Scientific Computing: Theory, Algorithms and Applications (207) - Session 1 |
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10:24 - 10:48 |
› Unsupervised Neural Operators for Optimal Control: Scaling Laws and Applications - Wuzhe Xu, Purdue University |
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10:48 - 11:12 |
› Learning Hyperbolic Conservation Laws from Data - Lizuo Liu, Dartmouth College |
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11:12 - 11:36 |
› From Equations to Insights: Unraveling Symbolic Structures in PDEs with LLMs - Ling Liang, The University of Tennessee [Knoxville] |
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11:36 - 12:00 |
› Variationally stable reduced basis neural operator - Yuan Qiu, Georgia Institute of Technology [Atlanta] |
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10:00 - 12:00
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Optimal Transport in Biological Sciences (208) - Session 1 |
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10:00 - 10:24 |
› Optimal transport reveals dynamic gene regulatory networks via gene velocity estimation - Ritambhara Singh, Department of Computer Science |
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10:24 - 10:48 |
› Optimal Transport based metrics and statistics for quantifying cell shape heterogeneity - Wenjun Zhao, Wake Forest University |
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10:48 - 11:12 |
› Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging - Amartya Banerjee, University of North Carolina at Chapel Hill |
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11:12 - 11:36 |
› Generative Particle Flows with Force-Matching for Reconstructing Nonlinear Cellular Dynamics - Hyemin Gu, University of Massachusetts [Amherst] |
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11:36 - 12:00 |
› Synchronized Optimal Transport for Trajectory Inference in Biological Systems - Jingfeng Wang, North Carolina State University |
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10:00 - 12:00
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Low-Rank Adaptation for Efficient Fine-Tuning in Foundation Models (209) |
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10:00 - 10:24 |
› Bridging Model Heterogeneity via LoRA-Based Knowledge Distillation in Federated Learning - Yujia Wang, Pennsylvania State University |
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10:24 - 10:48 |
› Non-Convex Tensor Recovery from Tube-Wise Sensing - Tongle Wu, Department of Electrical Engineering, The Pennsylvania State University. |
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10:48 - 11:12 |
› Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources - Jiamu Bai, Pennsylvania State University |
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11:12 - 11:36 |
› FLoRA: Federated Fine-Tuning Foundation Models with Heterogeneous Low-Rank Adaptations - Ziyao Wang, University of Maryland [College Park] |
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11:36 - 12:00 |
› PrunedLoRA: Efficient and Robust Gradient-Based Structural Pruning for Low-rank Adaptation in Fine-tuning - Xin Yu, Xin Yu |
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10:00 - 12:00
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Nonlinear Waves in Fluids (210) - Session 1 |
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10:00 - 10:24 |
› Exact solution and integrability of ballistic motion of fluid with free surface - Pavel Lushnikov, University of New Mexico |
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10:24 - 10:48 |
› Instabilities of steep Stokes waves - Sergey Dyachenko, State University of New York at Buffalo |
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10:48 - 11:12 |
› Well-posedness and stability of the Benjamin-Ono equation with quasiperiodic initial data - Sultan Aitzhan, Drexel University |
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11:12 - 11:36 |
› 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 |
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11:36 - 12:00 |
› Recent progress on soliton gases in two spatial dimensions - Gino Biondini, State University of New York [Buffalo] |
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10:00 - 12:00
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Recent advances in quantum machine learning (215) - Session 1 |
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10:00 - 10:24 |
› Derivative-Free Quasi-Newton Optimization for Variational Quantum Algorithms - Dongwei Shi, Lehigh University [Bethlehem] |
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10:24 - 10:48 |
› Operator-Level Quantum Acceleration of Non-Logconcave Sampling - Jiaqi Leng, University of California [Berkeley] |
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10:48 - 11:12 |
› Recent Progress in Quantum Eigenvalue Problems - Ruizhe Zhang, Department of Computer Science [Purdue] |
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11:12 - 11:36 |
› On the practical boundary of quantum computing advantages - Junyu Liu, University of Pittsburgh |
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11:36 - 12:00 |
› Critical Perspectives on Quantum Computing for Power System Computational Problems - Masoud Barati, University of Pittsburgh |
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10:00 - 12:00
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Advances in Modeling and Computation of Transport Problems (216) - Session 1 |
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10:00 - 10:24 |
› Reduced Basis Methods for Parametric Steady-State Radiative Transfer Equation - Fengyan Li, Rensselaer Polytechnic Institute |
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10:24 - 10:48 |
› A Nodal Discontinuous Galerkin Method with Low-Rank Velocity Space Representation for the Multi-Scale BGK Model - Joseph Nakao, Swarthmore College |
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10:48 - 11:12 |
› A Conservative and Positivity-Preserving Discontinuous Galerkin Method for the Population Balance Equation - Ziyao Xu, Binghamton University |
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11:12 - 11:36 |
› Adaptive-Rank Methods for the Multi-Scale BGK Equation via Greedy Sampling - William Sands, University of Delaware |
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11:36 - 12:00 |
› Invariant Measures for Data-Driven Dynamical System Identification - Jonah Botvinick-Greenhouse, Cornell University |
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10:00 - 12:00
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Scientific Machine Learning with Robust Computation (217) - Session 1 |
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10:00 - 10:24 |
› An efficient algorithm for computing the stationary statistical solution of some geophysical fluid systems - Daozhi Han, SUNY at Buffalo |
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10:24 - 10:48 |
› Uncertainty in Uncertainty and Rockafellian Relaxation - Sean Carney, Union College |
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10:48 - 11:12 |
› Scientific machine learning for blood glucose regulation in type 1 diabetes - Yixiang Deng, Brown University, University of Delaware |
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11:12 - 11:36 |
› A numerical method for PDEs via stochastic particle trajectories - Jihun Han, University at Albany [SUNY] |
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10:00 - 12:00
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Contributed talks (218) - Session 1 |
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10:00 - 10:24 |
› A Modified Hermite Radial Basis Function for Accurate Interpolation - Amirhossein Fashamiha, University at Buffalo [SUNY] |
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10:24 - 10:48 |
› Cryo-EM images are intrinsically low-dimensional - Luke Evans, Center for Computational Mathematics, Flatiron Institute |
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10:48 - 11:12 |
› Dense binary images have large connected components - Kyle Fridberg, Center for Applied Mathematics [Ithaca] |
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11:12 - 11:36 |
› HV Metric For Time-Domain Full Waveform Inversion - Matej Neumann, Department of Mathematics [Cornell] |
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11:36 - 12:00 |
› Image Registration and Direct Inversion in the Ultrasound Elasticity Imaging Field - Rebecca Rodrigues, Rochester Institute of Technology |
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10:00 - 12:00
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Contributed talks (219) - Session 2 |
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10:00 - 10:24 |
› An Explicit Description of Implementation of 4D, H(div)-conforming Simplicial Finite Elements in MFEM - Saber Patrick, Pennsylvania State University |
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10:24 - 10:48 |
› Complete and Final Solution to the Problem of Rounding Errors and Their Accumulation in Python - Isom Jurayev, Retired |
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10:48 - 11:12 |
› Polynomial Extrapolation for Error Mitigation in Quantum Simulation - Pegah Mohammadipour, Pennsylvania State University |
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11:12 - 11:36 |
› The many faces of stiffness: How a Runge-Kutta method can exhibit multiple convergence orders at the same time - Benjamin Seibold, Temple University [Philadelphia] |
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10:00 - 12:00
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Computational Dynamics (110) |
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10:00 - 10:24 |
› MSE Culpa - Why the mean-squared-error is not enough for machine learning of chaotic dynamical systems - Romit Maulik, Pennsylvania State University |
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10:24 - 10:48 |
› Modal Analysis of Quasi-Periodic Systems via Multi-variate Gaussian Process Regression - Jiwoo Song, The Pennsylvania State University |
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10:48 - 11:12 |
› Koopman Eigenfunctions, Synchronization, and Arnold Tongues for Coupled Stochastic Oscillators - Maxwell Kreider, Pennsylvania State University |
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11:12 - 11:36 |
› Geometric local parameterization for solving Hele-Shaw problems with surface tension - Zengyan Zhang, Pennsylvania State University |
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11:36 - 12:00 |
› A Fully Implicit Hybrid Method for Kinetic Equations: Efficient Time Integration via Coarse-Fine Velocity Grid Coupling - Evan Habbershaw, Pennsylvania State University |
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12:00 - 13:30
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Lunch (Dining Hall) |
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12:00 - 13:30
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Poster Session |
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13:30 - 14:30
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Plenary Talk (Room 100): Abba Gumel (University of Maryland) |
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14:30 - 16:30
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Minisymposium Sessions |
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14:30 - 16:30
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Recent Advances in Numerical Scheme-Inspired Data-driven Methods (216) |
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14:30 - 14:54 |
› Convergence and Performance of Finite-Difference-Based Methods for Noisy Black-Box Optimization - Dat Tran, Rowan University |
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14:54 - 15:18 |
› Neural Networks with Trainable Matrix Activation Functions - Zhengqi Liu |
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15:18 - 15:42 |
› The Measure Theoretic Koopman Operator - Maria Oprea, Cornell University |
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15:42 - 16:06 |
› Fine-tuning Spatiotemporal Operator Learning for Turbulent Flows - Shuhao Cao, University of Missouri System |
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14:30 - 16:30
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Scientific Machine Learning for Dynamical Systems and Inverse Problems (220) |
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14:30 - 14:54 |
› Physics-scaling informed data-driven turbulent inflow generation - Xiang Yang, Pennsylvania State University |
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14:54 - 15:18 |
› Bayesian Inversion for Elliptic PDEs on unknown manifolds - John Harlim, The Pennsylvania State University |
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15:18 - 15:42 |
› Multimodal Atmospheric Super-Resolution With Deep Generative Models - Haiwen Guan, The Pennsylvania State University |
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15:42 - 16:06 |
› Hyperbolic machine learning moment closures for kinetic equations - Juntao Huang, Department of Mathematical Sciences |
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16:06 - 16:30 |
› Parametrizing Contact Diffeomorphisms - George Kevrekidis, Johns Hopkins University |
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14:30 - 16:30
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Recent Developments in Applied Inverse Problems and Imaging (110) - Session 1 |
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14:30 - 14:54 |
› Extending Qualitative Methods to Biharmonic Scattering - Isaac Harris, Purdue University |
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14:54 - 15:18 |
› All-at-once alternating minimization method for an inverse medium scattering problem - Thanh Nguyen |
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15:18 - 15:42 |
› Identifying defective units in infinite periodic arrays of sources - Nhung Nguyen, Kansas State University |
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15:42 - 16:06 |
› Statistical Inversion using Deep Network and Level Set Methods for Diffuse Optical Imaging - Taufiquar Khan, University of North Carolina at Charlotte |
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16:06 - 16:30 |
› Inside-out duality for scattering poles - Jiguang Sun, Michigan Technological Univeristy |
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14:30 - 16:30
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Theory, Computation, and Applications for Nonlocal Models (111) - Session 2 |
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14:30 - 14:54 |
› Interplay between Inertia and Viscous Stress in Continuum Defect Dynamics - Kaushik Dayal, Carnegie Mellon University [Pittsburgh] |
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14:54 - 15:18 |
› Nonlocal Models for Traffic Flow - Wen Shen, Pennsylvania State University |
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15:18 - 15:42 |
› Seamless multiphysics coupling with peridynamics enabled by nodal finite element approximation - Prashant K. Jha, South Dakota School of Mines and Technology |
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15:42 - 16:06 |
› Nonlinear Fractional Modeling of Viscoelasticity in Biotissues - Ziwei Yang, Lehigh University [Bethlehem] |
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16:06 - 16:30 |
› Monotone Nonlocal Neural Operator for Material Modeling with Conditionally Unique Solutions - Yue Yu, Lehigh University |
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14:30 - 16:30
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Mathematical modelling for infectious diseases and interventions (112) |
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14:30 - 14:54 |
› A General Analytic Approach to Predicting the Best Antibiotic Dosing Regimen - Leah Childers, Pennsylvania State University |
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14:54 - 15:18 |
› Inference of asymptomatic carriers of antimicrobial-resistant organisms in healthcare settings using multimodal observations - Sen Pei, Columbia University |
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15:18 - 15:42 |
› Multiple Rational Behaviors in a Cholera Intervention Game - Connor Olson, Pennsylvania State University |
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15:42 - 16:06 |
› Modeling PrEP-on-demand strategies to prevent HIV transmission - Jessica Conway, Pennsylvania State University |
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16:06 - 16:30 |
› Stochastic Models of Viral Replication Dynamics: Extinction of Virus and Host - Rahnuma Islam, University of Pittsburgh, University of Pittsburgh |
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14:30 - 16:30
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AI for Math (113) |
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14:30 - 14:54 |
› Can Large Language Models Adequately Perform Symbolic Reasoning Over Time Series? - Zewen Liu, Emory University |
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14:54 - 15:18 |
› Derivation of physical equations for high-speed laser welding using large language models - Zhengxiao Yu, Pennsylvania State University |
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15:18 - 15:42 |
› FoVer: Training Step-Level Reasoning Verifiers with Formal Verification Tools - Ryo Kamoi, Pennsylvania State University |
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15:42 - 16:06 |
› The Quest for Open-Source Olympiad AI - Hamed Mahdavi, Pennsylvania State University |
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14:30 - 16:30
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Recent Mathematical and Computational Modeling Advances in Life Sciences (117) - Session 2 |
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14:30 - 14:54 |
› Virtual Cohorts for Within‑Host Cholera and Immune Dynamics - Harsh Jain, Department of Mathematical Sciences, University of Minnesota [Duluth] |
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14:54 - 15:18 |
› Modeling treatment of osteoarthritis with standard therapy and senolytic drugs - Nourridine Siewe, Rochester Institute of Technology |
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15:18 - 15:42 |
› Toward Governing Equations for Agent-Based SIR Models: Calibrating Time-Varying Transmission - Erick Anderson, University of Minnesota [Duluth] |
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15:42 - 16:06 |
› A Systematic Computational Framework for Practical Identifiability Analysis - Shun Wang, Department of Mathematics, Penn state University |
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16:06 - 16:30 |
› Who's In and Who's Out: Leveraging Homogeneous Preclinical Data to Extrapolate Tumor Growth Outcomes Across Heterogeneous Populations - Chloe George |
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14:30 - 16:30
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Recent Advances of Innovative Numerical Methods for Nonlinear PDEs (118) - Session 2 |
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14:30 - 14:54 |
› An Efficient, Decoupled, and Linearly Stabilized Scheme for Phase-Field Models with Variable Mobility - Zhiwei Zhang, Department of Applied Mathematics, Illinois Institute of Technology |
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14:54 - 15:18 |
› Analysis and Computation of a Generalized Ohta-Kawasaki Model - Yanxiang Zhao, George Washington University |
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15:18 - 15:42 |
› Stability and Time-Step Constraints of Exponential Time Differencing Runge–Kutta Discontinuous Galerkin Methods for Advection-Diffusion Equations - Ziyao Xu, Binghamton University |
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15:42 - 16:06 |
› Efficient optimization-based invariant-domain-preserving limiter for high-order discontinuous Galerkin methods of solving compressible Euler equations - Chen Liu, University of Arkansas [Fayetteville] |
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16:06 - 16:30 |
› Structure-preserving reduced order models for thermodynamically consistent reversible-irreversible PDEs - Zengyan Zhang, The Pennsylvania State University |
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14:30 - 16:30
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Computational Thermodynamics: Energy and Energy Landscape (119) - Session 2 |
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14:30 - 14:54 |
› Melting of planetary materials determined by machine learning potentials - Jie Deng, Department of Geosciences [Princeton] |
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14:54 - 15:18 |
› Designing selective cell targeting with multivalent interactions - Tine Curk, Johns Hopkins University |
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15:18 - 15:42 |
› Zentropy and the Recursive Property of Entropy for the Calculation of Free Energy Landscapes - Luke Myers, Pennsylvania State University |
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15:42 - 16:06 |
› 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] |
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16:06 - 16:30 |
› Ab-initio CALPHAD modeling of NaNH2BH3 for solid-state H2 storage applications - Ricardo Amaral, Department of Energy and Mineral Engineering, The Pennsylvania State University |
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14:30 - 16:30
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Partial Differential Equations: Theory and Computations (120) - Session 2 |
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14:30 - 14:54 |
› Lᵖ-based theory for PDEs on closed manifolds of minimal regularity: A novel and elementary approach - Gonzalo Benavides, University of Maryland [College Park] |
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14:54 - 15:18 |
› Surface Stokes Without Inf-Sup Condition - Mansur Shakipov, University of Maryland [College Park] |
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15:18 - 15:42 |
› A priori error analysis of the proximal Galerkin method for variational problems with inequality constraints - Masri Rami, Brown University |
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15:42 - 16:06 |
› FINITE ELEMENT APPROXIMATION TO LINEAR, SECOND ORDER, PARABOLIC EQUATIONS WITH L1 DATA - Abner Salgado, University of Tennessee System |
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16:06 - 16:30 |
› Quasi-neutral limit and the mixer layer problem of Planck-Nernst-Poisson-Navier-Stokes equations for electro-hydrodynamics - Shu Wang, Beijing University of Technology |
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14:30 - 16:30
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Quantifying and Controlling Uncertainty in Complex Systems (121) - Session 2 |
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14:30 - 14:54 |
› How to build a consistency model: Learning flow maps via self-distillation - Boffi Nicholas, Machine Learning Department [Carnegie Mellon Univ.] |
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14:54 - 15:18 |
› On Over-Parametrized Models and Sobolev Training - Li Matthew, University of Massachusetts [Amherst] |
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15:18 - 15:42 |
› Hyperparameter optimization for Gaussian process methods - Nicholas Nelsen, Department of Mathematics [Cornell] |
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15:42 - 16:06 |
› Bridging the Model Hierarchy: A Physics-Guided Machine Learning Framework for High-Resolution Climate Simulation Enhancement - Pouria Behnoudfar, University of Wisconsin Madison |
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16:06 - 16:30 |
› Spectral Regularized Kernel Two-Sample Tests - Omar Hagrass, Princeton university, department of operations research and financial engineering |
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14:30 - 16:30
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Recent Advances in Scientific Machine Learning Arising from PDEs (122) - Session 2 |
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14:30 - 14:54 |
› Neural Approximate Inverse Preconditioners - Yuanzhe Xi, Emory University [Atlanta, GA] |
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14:54 - 15:18 |
› 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 |
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15:18 - 15:42 |
› Computing ground states of Bose-Einstein condensation by normalized deep neural network - Zhipeng Chang, Pennsylvania State University |
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15:42 - 16:06 |
› Randomized Greedy Algorithms for Neural Network Optimization in Solving PDEs - Xiaofeng Xu, Pennsylvania State University |
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16:06 - 16:30 |
› Randomized subspace correction methods for convex optimization - Jongho Park, King Abdullah University of Science and Technology [Saudi Arabia] |
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14:30 - 16:30
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Recent Developments for Numerical Methods for PDEs (124) - Session 2 |
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14:30 - 14:54 |
› Structure-preserving Discretization of the Poisson-Nernst-Planck Equations via the Onsager Principle - Hailiang Liu, Iowa State University |
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14:54 - 15:18 |
› Discretization analysis for a convection-diffusion problem - Constantin Bacuta, Constantin Bacuta |
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15:18 - 15:42 |
› Numerical Approximation for Equations with Line Dirac Sources - Hengguang Li, Wayne State University |
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16:06 - 16:30 |
› Hierarchical Preconditioning for Stochastic Optimal Control Problems - Zhendong Li, Lehigh University - Bedřich Sousedík, University of Maryland [Baltimore County] - Akwum Onwunta, Lehigh University |
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14:30 - 16:30
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Computational and Probabilistic Methods: From Theory to Practice (125) - Session 2 |
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14:30 - 14:54 |
› Spin system dynamics beyond worst-case initialization - Gheissari Reza, Northwestern University [Evanston] |
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14:54 - 15:18 |
› Facilitating Efficiency of Deep Neural Networks using Marchenko-Pastur Distribution - Mariia Kiyashko, Pennsylvania State University |
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15:18 - 15:42 |
› Percolation and Criticality in Hyperuniform Networks - Yongyi Wang, Pennsylvania State University |
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15:42 - 16:06 |
› Markov chain resetting: a general view - Yuri Suhov, Penn State |
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14:30 - 16:30
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Physics-Guided & Generative AI for Scientific Computing: Theory, Algorithms and Applications (207) - Session 2 |
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14:30 - 14:54 |
› Error Analysis of Operator Learning on the Space of Probability Measures - Frank Cole, University of Minnesota [Twin Cities] |
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14:54 - 15:18 |
› Constrained Policy Optimization for Large Language Model Alignment - Dongsheng Ding, The University of Tennessee [Knoxville] |
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15:18 - 15:42 |
› On exploration of an interior mirror descent flow for stochastic nonconvex constrained problem - Kuangyu Ding, School of Industrial Engineering, Purdue University |
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15:42 - 16:06 |
› LoDAdaC: a unified local training-based decentralized framework with Adam-type updates and compressed communication - Yangyang Xu, Rensselaer Polytechnic Institute |
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14:30 - 16:30
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Optimal Transport in Biological Sciences (208) - Session 2 |
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14:30 - 14:48 |
› Cryo-EM as a Stochastic Inverse Problem - Diego Balam Sanchez Espinosa, Cornell University [Ithaca] |
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14:54 - 15:18 |
› Robust Molecular Structure Comparison via Optimal Transport - Xiaoqi Wei, North Carolina State University [Raleigh] |
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15:18 - 15:42 |
› Machine-Learning Interatomic Potentials for Long-Range Systems - Yajie Ji, Yale University |
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15:42 - 16:06 |
› Optimal Transport Modeling of Cellular Differentiation: From Low-Rank Structure to Temporal Dynamics - Peter Halmos, Computer Science Department [Princeton] |
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14:30 - 16:30
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Foundation Models: From Theory to Practice (209) - Session 1 |
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14:30 - 14:54 |
› Towards Interpretable Time Series Foundation Models - Tengfei Ma, Stony Brook University |
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14:54 - 15:18 |
› Sparse and Low-Dimensional Structures in Deep Networks - Akshay Rangamani, New Jersey Institute of Technology [Newark] |
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15:18 - 15:42 |
› A Foundation Model Approach for Learning Causal Graphs - Naiyu Yin, Lehigh University |
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15:42 - 16:06 |
› PDE Foundation Model: Generalization, Learning to Learn and more - Jingmin Sun, Johns Hopkins University |
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16:06 - 16:30 |
› Toward Universal Foundation Model for Neuroimaging - Huang Haoxu, New York University |
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14:30 - 16:30
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Nonlinear Waves in Fluids (210) - Session 2 |
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14:30 - 14:54 |
› Stokes Waves and Their New Secondary Bifurcations - Anastassiya Semenova, Rochester Institute of Technology |
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14:54 - 15:18 |
› Breather interactions in the discrete Manakov system - Nicholas Ossi, State University of New York at Buffalo |
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15:18 - 15:42 |
› Generalized Constantin-Lax-Majda Equation with Dissipation - Denis Silantyev, University of Colorado [Colorado Springs] |
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14:30 - 16:30
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Recent advances in quantum machine learning (215) - Session 2 |
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14:30 - 14:54 |
› Quantum DeepONet: Neural operators accelerated by quantum computing - Pengpeng Xiao, Yale University [New Haven] |
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14:54 - 15:18 |
› Quantum Machine Learning Applications in High Energy Physics and Beyond - Konstantin Matchev, University of Alabama [Tuscaloosa] |
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15:18 - 15:42 |
› Quantum-Assisted Machine Learning for Physics AI and Surrogate Modeling - Alex Khan, BQP |
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15:42 - 16:06 |
› Quantum-Inspired Hamiltonian Descent for LLM Sparsification - Yuxiang Peng, Department of Computer Science [Purdue] |
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16:06 - 16:30 |
› PolarGrad: A Class of Matrix-Gradient Optimizers from a Unifying Preconditioning Perspective - Weijie Su, University of Pennsylvania |
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14:30 - 16:30
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Scientific Machine Learning with Robust Computation (217) - Session 2 |
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14:30 - 14:54 |
› Data-Driven Modeling with the Koopman Operator - Andrew Horning, Rensselaer Polytechnic Institute |
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14:54 - 15:18 |
› Data Uniformity Improves Training Efficiency and More, with a Convergence Framework Beyond the NTK Regime - Yuqing Wang, Johns Hopkins University |
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15:18 - 15:42 |
› Neural Correction Operator: solving EIT with operator learning and conditional diffusion model - Ke Chen, University of Delaware |
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14:30 - 16:30
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Contributed talks (218) - Session 3 |
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14:54 - 15:18 |
› Modeling Regulatory Crosstalk among Cellular Pathways in Colorectal Cancer - Pascal Kingsley Kataboh, Swarthmore College |
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15:18 - 15:42 |
› Persistence of Lotka-Volterra Food Chains Using an Averaged Rate Model - Sepideh Vafaie, Montclair State University [USA] |
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15:42 - 16:06 |
› Quantification of the Economic and Environmental Value of a Green Hydrogen Energy Market in the United States - Ashira Mawji, Cornell University |
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16:06 - 16:30 |
› Estimation of Degradation rate in Biological cells - Lan Trinh, Department of Mathematics [Tulane, New Orleans] |
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14:30 - 16:30
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Contributed talks (219) - Session 4 |
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14:30 - 14:54 |
› Asymptotic Expansion of the Iterated Solution in the Case of Multiple Scattering Configurations - Souaad Lazergui, New Jersey Institute of Technology [Newark] |
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14:54 - 15:18 |
› Modeling and Simulation of the Cholesteric Landau–de Gennes model - Andrew Hicks, Carnegie Mellon University [Pittsburgh] |
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15:18 - 15:42 |
› The Phase Space of the Three-Vortex Problem and Its Application to Vortex-Dipole Scattering - Roy Goodman, New Jersey Institute of Technology |
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14:30 - 16:30
|
New Algorithms and Theory for Reinforcement Learning (222) |
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14:30 - 14:54 |
› Explainable reinforcement learning from human feedback to improve language model alignment - Shicheng Liu, Pennsylvania State University |
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14:54 - 15:18 |
› Data-Driven Knowledge Transfer in Batch Q* Learning - Wenbo Jing, New York University |
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15:18 - 15:42 |
› Federated Online Reinforcement Learning - Zhong Zheng, University of Pennsylvania |
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15:42 - 16:06 |
› Robust Decision Making Without Compromising Learning Efficiency - Laixi Shi, Department of Electrical and Computer Engineering [Johns Hopkins University] |
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16:06 - 16:30 |
› Gap-Dependent Analysis for Online Q-Learning - Haochen Zhang, Pennsylvania State University |
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16:30 - 17:00
|
Coffee break |
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17:00 - 18:00
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Plenary Talk (Room 100): Noel Walkington (Carnegie Mellon University) |
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18:30 - 20:00
|
Banquet and Business Meeting - at Nittany Lion INN Ballroom ABC |
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