2024 SIAM New York-New Jersey-Pennsylvania Section Annual Conference

8:30 - 10:35 (2h05)

Advances in Efficient and Accurate Kinetic and Fluid Solvers

Gosnell 1174

Fengyan Li, Joseph Nakao

› Semi-Lagrangian Adaptive-Rank (SLAR) Methods for Linear Advection Equations and the Nonlinear Vlasov-Poisson System - Nanyi Zheng, Department of Mathematical Sciences 08:30-08:55 (25min)

› Gauge conserving particle methods that naturally satisfy the involutions of Maxwell's equations - Stephen White, Michigan State University [East Lansing] 08:55-09:20 (25min)

› The Runge–Kutta discontinuous Galerkin method with stage-dependent polynomial spaces for hyperbolic conservation laws - Zheng Sun, The University of Alabama 09:20-09:45 (25min)

› A hybrid Monte Carlo, discontinuous Galerkin method for linear kinetic transport equations - Krotz Johannes, Notre Dame 09:45-10:10 (25min)

› A micro-macro decomposed reduced basis method for time-dependent radiative transfer equation - Fengyan Li, Rensselaer Polytechnic Institute 10:10-10:35 (25min)

8:30 - 10:35 (2h05)

Data-Driven Modeling and Analysis of Complex Systems

Gosnell A300 Small Auditorium

Nishant Malik

› Landslide geometry and topology for elucidating triggers and movement - Kamal Rana, Rochester Institute of Technology 08:30-08:55 (25min)

› Unraveling Social Dynamics: Exploring Structural Balance in Temporal Signed Networks Among Taiwanese High School Students - Hsuan-Wei Lee, Department of Community and Population Health, Lehigh University 08:55-09:20 (25min)

› Monsoon Prediction by Integrating Network Analysis with Machine Learning - Nishant Malik, Rochester Institute of Technology 09:20-09:45 (25min)

› Rigged DMD: Data-driven generalized eigenfunction decompositions for Koopman operators - Andrew Horning, Rensselaer Polytechnic Institute 09:45-10:10 (25min)

› Cost Efficient Cross CUR decomposition with Adaptive Rank and Oversampling of Non-linear Stochastic Partial Differential Equations on a Low-Rank Manifold - Grishma Palkar, University of Pittsburgh 10:10-10:35 (25min)

8:30 - 10:35 (2h05)

Scientific Machine Learning and its Applications

Gosnell 1300

Wenrui Hao, Yue Yu

› An energy-stable machine-learning model of non-Newtonian hydrodynamics with molecular fidelity - Huan Lei, Michigan State University 08:30-08:55 (25min)

› Nonlocal Attention Operator: Towards an Interpretable Foundation Model - Yue Yu, Lehigh University 08:55-09:20 (25min)

› Structure-preserving generative models and their statistical guarantees - Wei Zhu, Georgia Institute of Technology 09:20-09:45 (25min)

› Generative Downscaling of PDE Solvers With Physics-Guided Diffusion Models - Wuzhe Xu, University of Massachusetts Amherst 09:45-10:10 (25min)

› Self-adaptive weighting and sampling for physics-informed neural networks and deep operator networks - Wenqian Chen, Pacific Northwest National Laboratory 10:10-10:35 (25min)

8:30 - 10:35 (2h05)

Multiscale Flows

Gosnell 1154

Pejman Hadi Sichani, Benjamin Storer, Hussein Aluie

› Intermit dynamics of emulsions in porous media - Shima Parsa, Rochester Institute of Technology 08:30-08:55 (25min)

› Scale Decomposition and Kinetic Energy Cascade in the Troposphere and Stratosphere - Pejman Hadi Sichani, University of Rochester 08:55-09:20 (25min)

› Global Ocean Cascades and a Direct Gyrescale-Mesoscale Energy Pathway Induced by the Atmosphere - Benjamin Storer 09:20-09:45 (25min)

› Tip-splitting or fast fingers: pattern formation in miscible displacement - Will Braun, Rochester Institute of Technology 09:45-10:10 (25min)

› Role of Earth's magnetic field on the deposition of terrestrial volatile species in lunar nearside regolith - Shubhonkar Paramanick, University of Rochester 10:10-10:35 (25min)

8:30 - 10:35 (2h05)

Optimization Methods and Applications

Gosnell 2154

Mohammadhossein Mohammadisiahroudi, Zeguan Wu

› Iterative Refinement for Semidefinite Optimization - Pouya Sampourmahani, Lehigh University 08:30-08:55 (25min)

› Lagrangian Reformulations for Nonconvex Optimization: Tailoring Problems to Specialized Solvers - Rodolfo Alexander Quintero Ospina, Department of Industrial and Systems Engineering [Lehigh] 08:55-09:20 (25min)

› On Optimization Challenges in Proton Therapy Treatment Planning - Mohammadhossein Mohammadisiahroudi, Lehigh University 09:20-09:45 (25min)

› A Universal Law in Deep Learning: from MLP to Transformer - Weijie Su, University of Pennsylvania 09:45-10:10 (25min)

8:30 - 10:35 (2h05)

Life Sciences

Gosnell 1250 Big Auditorium

Nick Battista

› Quantitative Preventative Approaches to Diabetes: Mathematical Modeling and Analysis - Rushi Bhatt, Montclair State University [USA] 08:30-08:55 (25min)

› Mathematical Modeling of Ocular Tissue Deformation due to Intraocular Pressure - Riley Supple, Rochester Institute of Technology 08:55-09:20 (25min)

› Predicting particle deposition in an adult human lung using an oscillatory, lumped respiratory model - Jordana O'Brien, Rochester Institute of Technology 09:20-09:45 (25min)

› Synergy of Triple Combination Therapy for Biofilm Eradication - Vedat Kurtay, Rochester Institute of Technology - Blessing O. Emerenini, Rochester Institute of Technology 09:45-10:10 (25min)

› Fishes Go MOO: investigations of a self-propelled hydrofoil across a 6-dimensional morphospace - Nicholas Battista, The College of New Jersey 10:10-10:35 (25min)

8:30 - 10:35 (2h05)

Dynamical Systems

Gosnell 2345

Nourridine Siewe

› Parrondo's paradox in the dynamics of the susceptible-infectious-susceptible epidemic model over periodic temporal networks - Maisha Islam Sejunti, State University of New York [Buffalo] 08:30-08:55 (25min)

› Disorder in foams and other 2-d microstructures - Joe Klobusicky, University of Scranton 08:55-09:20 (25min)

› Learning Noise-Robust Stable Koopman Operator for Control with Physics-Informed Observables - Shahriar Akbar Sakib, Rensselaer Polytechnic Institute 09:20-09:45 (25min)

› Evaluating Equity in Dynamical Systems Models - Nicole Zalewski, Temple University 09:45-10:10 (25min)

› Inverse Scattering Transform for the Focusing Nonlinear Schrödinger Equation with Periodic Boundary Conditions - Zachery Wolski, Rensselaer Polytechnic Institute 10:10-10:35 (25min)

8:30 - 10:35 (2h05)

Numerical Analysis

Gosnell 2300

Ryan Vogt

› Simple, Convergent Sketched Tucker Decompositions - Alex Gittens, Rensselaer Polytechnic Institute 08:30-08:55 (25min)

› A New Fick-Jacobs Derivation with Applications to Computational Diffusion Networks - Zachary Miksis, Temple University [Philadelphia] 08:55-09:20 (25min)

› Construction of Local Reduced Order Models via Random Sampling - Charles Beall, Stevens Institute of Technology 09:20-09:45 (25min)

› Randomized Multiscale Methods for Heterogeneous Nonlinear Partial Differential Equations - Kathrin Smetana, Stevens Institute of Technology [Hoboken] 09:45-10:10 (25min)

› Scalable tensor methods for general hypergraphs - Ilya Amburg, Pacific Northwest National Laboratory, Rochester Institute of Technology 10:10-10:35 (25min)

8:30 - 10:35 (2h05)

Applied Math

Gosnell 2365

Olalekan Babaniyi

› Mathematical Modeling of Sieving and Adsorptive Fouling in Membrane Pore Networks - Binan Gu, Worcester Polytechnic Institute 08:30-08:55 (25min)

› Surface Variability Mapping and Roughness Analysis of the Moon Using a Coarse-Graining Decomposition - Siyu Xue, University of Rochester 08:55-09:20 (25min)

› Interfacial instability of a two-layer viscoelastic flow - Nastaran Rezaei, NJIT 09:20-09:45 (25min)

› Analytical Solution for Heat Transfer across the Boundary Layer Induced - William Reinberger, Rochester Institute of Technology 09:45-10:10 (25min)

› Exact Analytical Solution for the Boundary Layer Flow Induced by a Moving Surface - Nathaniel Barlow, Rochester Institute of Technology 10:10-10:35 (25min)

8:30 - 10:35 (2h05)

Data Science, Discrete Math, and Theoretical Computing

Gosnell 2130

Brendan Rooney

› Efficient Diameter Algorithm for Large Graphs - Zhihui Du, NJIT; David Bader, NJIT 08:30-08:55 (25min)

› Pop stacks with a bypass - Rebecca Smith, SUNY Brockport 08:55-09:20 (25min)

› “Collect, Commit, Expand”: A Strategy for Faster CPQR-Based Column Selection on Short, Wide Matrices - Robin Armstrong, Center for Applied Mathematics [Cornell] 09:20-09:45 (25min)

› Stability and Robustness of Time-discretization Schemes for the Allen-Cahn Equation via Bifurcation and Perturbation Analysis - Sun Lee, The Pennsylvania State University 09:45-10:10 (25min)

› Energy dissipation rate-based sampling: An adaptive refinement strategy for solving thermodynamically consistent models using PINNs - Chunyan Li, The Penn State University 10:10-10:35 (25min)

8:30 - 10:35 (2h05)

Computational and Theoretical Advances in Physics-informed ML Models and UQ

Gosnell 2305

Yue Yu, Akwum Onwunta, Jihong Wang

› A New Sparse, Connected, and Rigid Graph Representations of Point Clouds and Beyond - Bao Wang, University of Utah 08:30-08:55 (25min)

› Uncertainty quantification in scientific machine learning - Zongren Zou, Brown University 08:55-09:20 (25min)

› Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operators - Yiming Fan, Lehigh University 09:20-09:45 (25min)

› Divide And Conquer: Learning Chaotic Dynamical Systems With Multistep Penalty Neural Ordinary Differential Equations - Dibyajyoti Chakraborty, Pennsylvania State University 09:45-10:10 (25min)

› LUCIE: A lightweight uncoupled climate emulator with long-term stability and physical consistency - Haiwen Guan, The Pennsylvania State University 10:10-10:35 (25min)

8:30 - 10:35 (2h05)

Machine Learning Theory and Applications

Gosnell 1305

Yunlong Feng

› Symmetric Tensor Decompositions and Gaussian Mixture Models - Zi Yang, State University of New York at Albany 08:30-08:55 (25min)

› Training-free Conditional Diffusion Model for Stochastic Dynamical Systems Learning - Yanfang Liu, Middle Tennessee State University 08:55-09:20 (25min)

› A multimodal functional deep learning approach for multiomics data - Pei Geng, University of New Hampshire 09:20-09:45 (25min)

› Hybrid Algorithm for Restoration of Grain Orientation Maps with Missing Regions - Prashant Athavale, Clarkson University 09:45-10:10 (25min)

› Machine Learning Approaches for Biological Spectral Unmixing - Alex Valm, University at Albany [SUNY] 10:10-10:35 (25min)

10:35 - 11:00 (25min)

Coffee Break

11:00 - 11:55 (55min)

Overcoming order reduction in Runge-Kutta methods via weak stage order: Theory and order barriers

Gosnell 1250 Big Auditorium

David Shirokoff (NJIT)

12:00 - 12:10 (10min)

Closing Remarks