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

Registration and Breakfast Snacks

Opening Remarks

Plenary I: MetaMath, or Mathematically Modeling the Mathematical Sciences Community

Coffee break

Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics
Computational Fluid Mechanics and Fluid-Structure Interaction
Recent Advances in Graphs, Groups, and their Applications
Advances in Efficient and Accurate Kinetic and Fluid Solvers
Student research in mathematical biology: mechanistic modeling and data science approaches
Optimization
Data-Driven Modeling and Machine Learning
Geosciences and Planet Earth
Numerical Methods and Applications
PDE
Dynamical Systems
Recent Advances in Theoretical and Computational Inverse Problems
Computational and Theoretical Advances in Physics-informed ML Models and UQ

10:00 - 12:05 (2h05)

Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics

Gosnell 1154

Jia Zhao, Daozhi Han

› Penalty Adversarial Network: A neural network-based method to solve PDE-constrained optimal control problems - Yukun Yue, University of Wisconsin-Madison 10:00-10:25 (25min)

› Element learning: accelerating finite element-type methods via operator learning with cost-effective training - Shukai Du, Syracuse University 10:25-10:50 (25min)

› Finite Expression Method: A Symbolic Approach for Scientific Machine Learning - Haizhao Yang, University of Maryland, College Park 10:50-11:15 (25min)

› Analysis and computation of a generalized Ohta-Kawasaki model - Yanxiang Zhao, George Washington University 11:15-11:40 (25min)

› Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partial Differential Equations - Yahong Yang, The Penn State University 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Computational Fluid Mechanics and Fluid-Structure Interaction

Gosnell 1305

Michael Cromer, Paula Vasquez

› Flows of networked fluids: Bead-spring dumbbells, Roussian chains, formed chains, and anisotropy - Lin Zhou, Department of Mathematics, New York City College of Technology [CUNY] 10:00-10:25 (25min)

› The influence of geometry on squirming in a heterogeneous medium - Herve Nganguia, Towson University 10:25-10:50 (25min)

› Neuromechanical wave resonance as a design principle in locomotion and fluid transport - Alexander Hoover, Cleveland State University 10:50-11:15 (25min)

› Fluid-Level Performance of Multi-Agent Systems - Benjamin Seibold, Temple University [Philadelphia] 11:15-11:40 (25min)

› Macro-micro simulations in complex fluids using GPU Computing - Paula A Vasquez, University of South Carolina [Columbia] 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Recent Advances in Graphs, Groups, and their Applications

Gosnell 2178

Carmine Monetta, Mark Lanning Lewis

› Graph isomorphisms and group invariants - Carmine Monetta, University of Salerno 10:00-10:25 (25min)

› Gruenberg-Kegel graphs of finite groups - Thomas Michael Keller, Texas State University 10:25-10:50 (25min)

› On finite groups in which the twisted conjugacy classes of the unit element are subgroups - Chiara Nicotera, University of Salerno 10:50-11:15 (25min)

› On the maximum value of the stairs2 index - Bryan Currie, New Jersey Institute of Technology [Newark] 11:15-11:40 (25min)

› Computation of the homology groups of graph configuration spaces through quantitative representation stability - Eric Ramos, Stevens Institute of Technology 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Advances in Efficient and Accurate Kinetic and Fluid Solvers

Gosnell 1174

Fengyan Li, Joseph Nakao

› Adjoint Monte Carlo Method for Kinetic Constrained Optimization Problems - Yunan Yang, Cornell University 10:00-10:25 (25min)

› Adaptive-Rank Implicit Time Integrator for Advection-Diffusion Transport Equations with Inhomogeneous Coefficients - Hamad El Kahza, University of Delaware 10:25-10:50 (25min)

› High-order accurate simulations for relativistic Vlasov systems - Jeff Banks, Rensselaer Polytechnic Institute 10:50-11:15 (25min)

› Reduced-Order Modeling of Neutron Transport by Proper Generalized Decomposition - Kurt Dominesey, Naval Nuclear Laboratory 11:15-11:40 (25min)

› Low-rank implicit integrators based on reduced augmentation for solving 3D advection-diffusion equations - Joseph Nakao, Swarthmore College 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Student research in mathematical biology: mechanistic modeling and data science approaches

Gosnell 2130

James Greene, Diana White, Emmanuel Asante-Asamani, Susan Bailey

› Modeling Growth of Invasive Watermilfoil in a Column - Soleil Demick, Skidmore College [Saratoga Springs] 10:00-10:20 (20min)

› Modeling the impacts of spatial structure on evolution in bacteria - Amanda Barlow 10:20-10:40 (20min)

› The Prediction of Positive Prostate Biopsies in Men is Significantly Enhanced When the Serum PVT1 biomarkers are Combined with Serum Prostate Specific Antigen (PSA) - Tinovimba Hove, Clarkson University 10:40-11:00 (20min)

› Utilization of DBSCAN for effective categorization of sensory cell patterns in Drosophila - Oakley Waters (Clarkson University), Wisdom Attipoe (Clarkson University) 11:00-11:20 (20min)

› Quantify the processes driving parallel evolution in populations of Pseudomonas aeruginosa using a statistical modeling approach - JasonFred Ngwa, Clarkson University 11:20-11:40 (20min)

› Modeling the spread of retinal detachment (RD) and its effects on the dynamics of the rod outer segment (ROS) renewal - William Annan, Clarkson University 11:40-12:00 (20min)

10:00 - 12:05 (2h05)

Optimization

Gosnell 2154

Kelvin Nguyen

› Effective support, Dirac combs, and signal recovery - Kelvin Nguyen, University of Rochester 10:00-10:25 (25min)

› Experimental Design for Kernel Ridge Regression - Alex Gittens, Rensselaer Polytechnic Institute 10:25-10:50 (25min)

› Mathematical Optimization of Supply Chain Networks and Warehouse Design for Enhanced Efficiency in DHL Operations - Yiyi Cao, SUNY Binghamton University 10:50-11:15 (25min)

› On the Heterogenous k-Disjoint Biclique Problem - Abiodun Sumonu, The University of Alabama - Brendan Ames, University of Southampton 11:15-11:40 (25min)

› Computing Proximity Operators for Scale and Signed Permutation Invariant Functions - Jianqing Jia, Syracuse University 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Data-Driven Modeling and Machine Learning

Gosnell A300 Small Auditorium

Ernest Fokoue

› Latent trajectory clsases using sparse identification of nonlinear dyanmics - Bernard Ricca, University of Colorado [Colorado Springs] 10:00-10:25 (25min)

› Model-free identification and suppression of unknown disturbances to dynamical systems - Per Sebastian Skardal, Trinity College Hartford 10:25-10:50 (25min)

› A Stability Analysis of Neural Networks from Low Rank Householder Expansions - Donsub Rim, Washington University in St. Louis 10:50-11:15 (25min)

› Hierarchical matrix approximation and PDE learning - Diana Halikias, Department of Mathematics [Cornell] 11:15-11:40 (25min)

› Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel - Xiong Wang, Johns Hopkins University 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Geosciences and Planet Earth

Gosnell 1300

Carolina Estevez Loza

› Incorporating Risk Aversion and Uncertainty into Coastal Adaptation Model - Carolina Estevez Loza, Rochester Institute of Technology 10:00-10:25 (25min)

› Disentangling the Oceanic Circulation - Hussein Aluie, University of Rochester 10:25-10:50 (25min)

› Assessing the Impact of Contamination on Microbial-Enzyme Dynamics and Soil Function - Sepideh Vafaie, Montclair State University [USA] 10:50-11:15 (25min)

› Exploring the Mechanisms Driving the North Atlantic Oscillation - Abdus Samad, University of Rochester 11:15-11:40 (25min)

› Mass Transport By Oceanic Mesoscale Eddies - Mehrnoush Kharghani, University of Rochester [USA] 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Numerical Methods and Applications

Gosnell 2300

Nick Battista

› Input-output analysis of transitional channel flow over large-scale wavy walls - Jino George, University of Connecticut 10:00-10:25 (25min)

› Structured input-output analysis of wall-bounded shear flows - Chang Liu, University of Connecticut 10:25-10:50 (25min)

› A Reformulation of the Equation Error Approach for Direct Inversion from Full-Field Interior Data - Mobina Ghorbaninejad, Rochester Institute of Technology 10:50-11:15 (25min)

› Fast solvers for shape optimization of slip-driven axisymmetric microswimmers in Stokes flow - Ruowen Liu, Rider University 11:15-11:40 (25min)

› Optimizing Observation Locations via Minimizing Information Loss - Daniel Waxman, Stony Brook University [SUNY] 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

PDE

Gosnell 2365

Gino Biondini

› Nonlinear dispersive waves, solitons, modulation theory and dispersive shocks in two spatial dimensions - Gino Biondini, State University of New York [Buffalo] 10:00-10:25 (25min)

› Initial Value Problems for the Kadomtsev-Petviashvili Equation with Wedge-Shaped Step-Like Initial Conditions - Alexander Bivolcic, State University of New York at Buffalo 10:25-10:50 (25min)

› On Galilean Invariance of Mean Kinetic Helicity - Dina Soltani Tehrani, University of Rochester 10:50-11:15 (25min)

› Determination of time-dependent source function in a parabolic equation - Sedar Ngoma, State University of New York at Geneseo 11:15-11:40 (25min)

› Nonlinear Neutral Inclusions: Effective Conductivity of a Spiral with a Nonlinear Core - Christopher Deng, Department of Mathematics [Cornell] 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Dynamical Systems

Gosnell 1250 Big Auditorium

Ephraim Agyingi

› Using off-diagonal entries of the covariance matrix to determine an optimized node set for early warning signals - Shilong Yu, State University of New York at Buffalo 10:00-10:25 (25min)

› Understanding Inertial and Non-Inertial Particle Dynamics in Geophysical Flows - Nishanta Baral, Montclair State University 10:25-10:50 (25min)

› Dimension reduction of dynamical systems on graphons - Bisna Mary Eldo, State University of New York at Buffalo 10:50-11:15 (25min)

› Dimensional reduction for hypergraph dynamical systems - Sarbendu Rakshit, State University of New York at Buffalo 11:15-11:40 (25min)

› Global dynamics in applied delay differential models - Anatoli Ivanov, Pennsylvania State University 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Recent Advances in Theoretical and Computational Inverse Problems

Gosnell 2345

Jingni Xiao, Thi-Phong Nguyen

› Measure theoretic approaches to stochastic inverse problems - Maria Oprea, Cornell University 10:00-10:25 (25min)

› Bilinear operators arising in inverse scattering for the acoustic wave equation - Allan Greenleaf, University of Rochester 10:25-10:50 (25min)

› Phase retrieval via media diversity - Kui Ren, Columbia University 10:50-11:15 (25min)

› On an Inverse Source Problem for Fractional Parabolic Equations - Thi-Phong Nguyen, New Jersey Institute of Technology 11:15-11:40 (25min)

› On the inverse problem of identifying a distributed parameter in a linear elasticity system - Basca Jadamba, Rochester Institute of Technology 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

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

Gosnell 2305

Yue Yu, Akwum Onwunta, Jihong Wang

› Automated construction of effective potential via algorithmic implicit bias - Xingjie Li, University of North Carolina, Charlotte 10:00-10:25 (25min)

› A well-posed peridynamic neural operator for modeling complex material responses - Jihong Wang, Lehigh University 10:25-10:50 (25min)

› Neural Networks with Compact Support Activation Function - Jindong Wang, Pennsylvania State University 10:50-11:15 (25min)

› Momentum-based minimization of the Ginzburg-Landau functional on Euclidean spaces and graphs - Oluwatosin Akande, Lehigh University 11:15-11:40 (25min)

› TGPT-PINN: Nonlinear model reduction with transformed GPT-PINNs - Yajie Ji, University of Massachusetts Dartmouth, Shanghai Jiao Tong University 11:40-12:05 (25min)

Box Lunch
Poster Session

Plenary II: Applied Mathematics Problems in Cancer Immunotherapy Drug Development

Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics
Computational Fluid Mechanics and Fluid-Structure Interaction
Recent Advances in Graphs, Groups, and their Applications
Recent Advances in Theoretical and Computational Inverse Problems
Data-Driven Modeling and Analysis of Complex Systems
Scientific Machine Learning and its Applications
Mathematical Modeling of Drug Delivery
Recent Developments in Modern Optimization
Life Sciences
Numerical Analysis
Applied Math
Data Science
Recent Advances in Quantum Computing

14:30 - 16:35 (2h05)

Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics

Gosnell 1154

Jia Zhao, Daozhi Han

› Adaptive Sampling and Transfer Learning Applied to the Deep Galerkin Method for Solving PDEs - Andreas Aristotelous, University of Akron 14:30-14:55 (25min)

› Structure-preserving reduced order models for thermodynamically consistent reversible-irreversible PDEs - Zengyan Zhang, The Pennsylvania State University 14:55-15:20 (25min)

› Solving the Fokker-Planck Equation with Tensor Neural Networks: Addressing High-Dimensional and Multi-Scale Challenges - Wang Taorui, Worcester Polytechnic Institute 15:20-15:45 (25min)

› A Pressure-Robust Hybridized Discontinuous Galerkin Method for the Cahn-Hilliard-Navier-Stokes System - Keegan Kirk, George Mason University [Fairfax] 15:45-16:10 (25min)

› Spectral element method for 3D spherical dynamo equations. - Lina Ma, Trinity College 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Recent Advances in Theoretical and Computational Inverse Problems

Gosnell 2345

Jingni Xiao, Thi-Phong Nguyen

› Estimating random coefficients in stochastic variational problems using second-order methods - Zi-Jia Gong, Rochester Institute of Technology 14:30-14:55 (25min)

› Deterministic-Statistical Approach for Inverse Acoustic Source Problems using Limited Data - Yanfang Liu, Middle Tennessee State University 14:55-15:20 (25min)

› The Non-Abelian X-Ray Transform on Asymptotically Hyperbolic Spaces - Haim Grebnev, Yale University 15:20-15:45 (25min)

› A fast numerical method for the inverse medium scattering problem - Thanh Nguyen, Rowan University 15:45-16:10 (25min)

› On the Convergence of Stochastic Gradient Descent and Its Data-Driven Variant for Ill-Posed Inverse Problems - Zehui Zhou, Rutgers University 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Data-Driven Modeling and Analysis of Complex Systems

Gosnell A300 Small Auditorium

Nishant Malik

› Tree-based Learning for High-Fidelity Prediction of Chaos - Adam Giammarese 14:30-14:55 (25min)

› Detecting Chaos in Fire - Jenna McDanold, Los Alamos National Laboratory, Rochester Institute of Technology 14:55-15:20 (25min)

› Analysis of a Coevolving Networks-based Opioid Epidemic Model - Kiera Kelly 15:20-15:45 (25min)

› Network-Driven QBO Analysis - Daniel Oleynikov, Rochester Institute of Technology 15:45-16:10 (25min)

› Severing as a Size Control Mechanism for Cytoskeleton Filaments and Bundles - MD SORIQUE AZIZ MOMIN, Postdoctoral Associate, School of Physics and Astronomy, Rochester Institute of Technology 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Scientific Machine Learning and its Applications

Gosnell 1300

Wenrui Hao, Yue Yu

› When big neural networks are not enough: physics, multifidelity, kernels - Stinis Panos, Pacific Northwest National Laboratory 14:30-14:55 (25min)

› Exploiting Low-Dimensional Data Structures and Predicting Scaling Laws for Transformer Neural Networks - Wenjing Liao, Georgia Institute of Technology 14:55-15:20 (25min)

› Physics-informed neural networks for forward and inverse problems of Biot's model - Mingchao Cai, Morgan State University 15:20-15:45 (25min)

› Separable DeepONet: A Scalable Framework for High-Dimensional Physics-Informed Neural Operators - Somdatta Goswami, Johns Hopkins University 15:45-16:10 (25min)

› One-shot learning for solution operators of partial differential equations - Lu Lu, Yale University [New Haven] 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Mathematical Modeling of Drug Delivery

Gosnell 2305

Kara Maki, Lucia Carichino, Narshini Gunputh

› Mathematical Model of Gene Therapy Treatment for Neovascular Age-related Macular Degeneration - Lucia Carichino, Rochester Institute of Technology 14:30-14:55 (25min)

› Development of PBPK Model to Characterize Ocular Disposition of Protein Therapeutics - Dhaval Shah, University at Buffalo 14:55-15:20 (25min)

› No model is an island: QSP with support from PBPK - Christina Battista, Simulations Plus 15:20-15:45 (25min)

› A mathematical model of drug delivery via a contact lens during wear - Rayanne Luke, George Mason University [Fairfax] 15:45-16:10 (25min)

› Quantitative model of the ocular immune response to seasonal allergic conjunctivitis - Narshini Gunputh, Rochester Institute of Technology 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Recent Developments in Modern Optimization

Gosnell 2154

Mateo Diaz, Jialin Liu, Benjamin Grimmer

› The radius of statistical efficiency - Mateo Diaz, Johns Hopkins University 14:30-14:55 (25min)

› On representing (mixed-integer) linear programs by graph neural networks - Jialin Liu, University of Central Florida [Orlando] 14:55-15:20 (25min)

› Performance Estimation For Smooth and Strongly Convex Sets - Benjamin Grimmer, Johns Hopkins University 15:20-15:45 (25min)

› Universal subgradient and proximal bundle methods for convex and strongly convex hybrid composite optimization - Jiaming Liang, University of Rochester [USA] 15:45-16:10 (25min)

› A novel primal-dual algorithm for decentralized optimization over time-varying graphs - Xin Jiang, Cornell University 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Numerical Analysis

Gosnell 2300

Basca Jadamba

› Optimizing adaptive mesh refinement for numerical relativity - Chloe Malinowski, Rochester Institute of Technology 14:30-14:55 (25min)

› Polynomial Interpolation on the Square and Cube - Richard Greene, New Jersey Institute of Technology [Newark] 14:55-15:20 (25min)

› Quasi-Newton MALA Sampling for Rare Event Uncertainty Quantification - Elsayed Eshra, The Pennsylvania State University 15:20-15:45 (25min)

› A Quadratic Penalty and Moreau Envelope Descent Algorithm for Constrained Global Minimization - Stephanie Wang, University of Rochester [USA] 15:45-16:10 (25min)

› A consistent numerical approach to quantum graph computations - Roy Goodman, New Jersey Institute of Technology 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Data Science

Gosnell 1174

Jason LaRuez and Meghan Childs

› Topological Tools for Cybersecurity - Jason LaRuez, Rochester Institute of Technology 14:30-14:55 (25min)

› Progressing a University COVID-19 Compartment Model via Bayesian Model-Data Fusion - Meghan Childs, Rochester Institute of Technology 14:55-15:20 (25min)

› Robust First and Second-Order Differentiation for Regularized Optimal Transport - Felix Ye, University at Albany 15:20-15:45 (25min)

› Detecting interpretable communities in multilayer correlation networks - Saiful Islam, Institute for Artificial Intelligence and Data Science, SUNY at Buffalo, Buffalo, NY 15:45-16:10 (25min)

› Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations - Chuqi Chen, the Hong Kong University of Science and Technology 16:10-16:35 (25min)

SIAM NNP Business Meeting

Advances in Efficient and Accurate Kinetic and Fluid Solvers
Data-Driven Modeling and Analysis of Complex Systems
Scientific Machine Learning and its Applications
Multiscale Flows
Optimization Methods and Applications
Life Sciences
Dynamical Systems
Numerical Analysis
Applied Math
Data Science, Discrete Math, and Theoretical Computing
Computational and Theoretical Advances in Physics-informed ML Models and UQ
Machine Learning Theory and Applications

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)

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)

Coffee Break

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

Closing Remarks

	Fri. 01	Sat. 02	Sun. 03
08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00	Pizza and Networking 17:00 - 18:00 (1h) Pizza and Networking Gosnell Hall Atrium Jobs in Industry and Government Panel 18:00 - 20:00 (2h) Jobs in Industry and Government Panel Gosnell A300 Small Auditorium	Registration and Breakfast Snacks 8:00 - 8:30 (30min) Registration and Breakfast Snacks Gosnell Atrium Opening Remarks 8:30 - 8:40 (10min) Opening Remarks Gosnell 1250 Big Auditorium Tony Harkin (RIT) and Roy Goodman (NJIT) Plenary I: MetaMath, or Mathematically Modeling the Mathematical Sciences Community 8:40 - 9:35 (55min) Plenary I: MetaMath, or Mathematically Modeling the Mathematical Sciences Community Gosnell 1250 Big Auditorium Ron Buckmire (Marist) Coffee break 9:35 - 10:00 (25min) Coffee break Gosnell Hall Atrium Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics Computational Fluid Mechanics and Fluid-Structure Interaction Recent Advances in Graphs, Groups, and their Applications Advances in Efficient and Accurate Kinetic and Fluid Solvers Student research in mathematical biology: mechanistic modeling and data science approaches Optimization Data-Driven Modeling and Machine Learning Geosciences and Planet Earth Numerical Methods and Applications PDE Dynamical Systems Recent Advances in Theoretical and Computational Inverse Problems Computational and Theoretical Advances in Physics-informed ML Models and UQ 10:00 - 12:05 (2h05) Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics Gosnell 1154 Jia Zhao, Daozhi Han › Penalty Adversarial Network: A neural network-based method to solve PDE-constrained optimal control problems - Yukun Yue, University of Wisconsin-Madison 10:00-10:25 (25min) › Element learning: accelerating finite element-type methods via operator learning with cost-effective training - Shukai Du, Syracuse University 10:25-10:50 (25min) › Finite Expression Method: A Symbolic Approach for Scientific Machine Learning - Haizhao Yang, University of Maryland, College Park 10:50-11:15 (25min) › Analysis and computation of a generalized Ohta-Kawasaki model - Yanxiang Zhao, George Washington University 11:15-11:40 (25min) › Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partial Differential Equations - Yahong Yang, The Penn State University 11:40-12:05 (25min) 10:00 - 12:05 (2h05) Computational Fluid Mechanics and Fluid-Structure Interaction Gosnell 1305 Michael Cromer, Paula Vasquez › Flows of networked fluids: Bead-spring dumbbells, Roussian chains, formed chains, and anisotropy - Lin Zhou, Department of Mathematics, New York City College of Technology [CUNY] 10:00-10:25 (25min) › The influence of geometry on squirming in a heterogeneous medium - Herve Nganguia, Towson University 10:25-10:50 (25min) › Neuromechanical wave resonance as a design principle in locomotion and fluid transport - Alexander Hoover, Cleveland State University 10:50-11:15 (25min) › Fluid-Level Performance of Multi-Agent Systems - Benjamin Seibold, Temple University [Philadelphia] 11:15-11:40 (25min) › Macro-micro simulations in complex fluids using GPU Computing - Paula A Vasquez, University of South Carolina [Columbia] 11:40-12:05 (25min) 10:00 - 12:05 (2h05) Recent Advances in Graphs, Groups, and their Applications Gosnell 2178 Carmine Monetta, Mark Lanning Lewis › Graph isomorphisms and group invariants - Carmine Monetta, University of Salerno 10:00-10:25 (25min) › Gruenberg-Kegel graphs of finite groups - Thomas Michael Keller, Texas State University 10:25-10:50 (25min) › On finite groups in which the twisted conjugacy classes of the unit element are subgroups - Chiara Nicotera, University of Salerno 10:50-11:15 (25min) › On the maximum value of the stairs2 index - Bryan Currie, New Jersey Institute of Technology [Newark] 11:15-11:40 (25min) › Computation of the homology groups of graph configuration spaces through quantitative representation stability - Eric Ramos, Stevens Institute of Technology 11:40-12:05 (25min) 10:00 - 12:05 (2h05) Advances in Efficient and Accurate Kinetic and Fluid Solvers Gosnell 1174 Fengyan Li, Joseph Nakao › Adjoint Monte Carlo Method for Kinetic Constrained Optimization Problems - Yunan Yang, Cornell University 10:00-10:25 (25min) › Adaptive-Rank Implicit Time Integrator for Advection-Diffusion Transport Equations with Inhomogeneous Coefficients - Hamad El Kahza, University of Delaware 10:25-10:50 (25min) › High-order accurate simulations for relativistic Vlasov systems - Jeff Banks, Rensselaer Polytechnic Institute 10:50-11:15 (25min) › Reduced-Order Modeling of Neutron Transport by Proper Generalized Decomposition - Kurt Dominesey, Naval Nuclear Laboratory 11:15-11:40 (25min) › Low-rank implicit integrators based on reduced augmentation for solving 3D advection-diffusion equations - Joseph Nakao, Swarthmore College 11:40-12:05 (25min) 10:00 - 12:05 (2h05) Student research in mathematical biology: mechanistic modeling and data science approaches Gosnell 2130 James Greene, Diana White, Emmanuel Asante-Asamani, Susan Bailey › Modeling Growth of Invasive Watermilfoil in a Column - Soleil Demick, Skidmore College [Saratoga Springs] 10:00-10:20 (20min) › Modeling the impacts of spatial structure on evolution in bacteria - Amanda Barlow 10:20-10:40 (20min) › The Prediction of Positive Prostate Biopsies in Men is Significantly Enhanced When the Serum PVT1 biomarkers are Combined with Serum Prostate Specific Antigen (PSA) - Tinovimba Hove, Clarkson University 10:40-11:00 (20min) › Utilization of DBSCAN for effective categorization of sensory cell patterns in Drosophila - Oakley Waters (Clarkson University), Wisdom Attipoe (Clarkson University) 11:00-11:20 (20min) › Quantify the processes driving parallel evolution in populations of Pseudomonas aeruginosa using a statistical modeling approach - JasonFred Ngwa, Clarkson University 11:20-11:40 (20min) › Modeling the spread of retinal detachment (RD) and its effects on the dynamics of the rod outer segment (ROS) renewal - William Annan, Clarkson University 11:40-12:00 (20min) 10:00 - 12:05 (2h05) Optimization Gosnell 2154 Kelvin Nguyen › Effective support, Dirac combs, and signal recovery - Kelvin Nguyen, University of Rochester 10:00-10:25 (25min) › Experimental Design for Kernel Ridge Regression - Alex Gittens, Rensselaer Polytechnic Institute 10:25-10:50 (25min) › Mathematical Optimization of Supply Chain Networks and Warehouse Design for Enhanced Efficiency in DHL Operations - Yiyi Cao, SUNY Binghamton University 10:50-11:15 (25min) › On the Heterogenous k-Disjoint Biclique Problem - Abiodun Sumonu, The University of Alabama - Brendan Ames, University of Southampton 11:15-11:40 (25min) › Computing Proximity Operators for Scale and Signed Permutation Invariant Functions - Jianqing Jia, Syracuse University 11:40-12:05 (25min) 10:00 - 12:05 (2h05) Data-Driven Modeling and Machine Learning Gosnell A300 Small Auditorium Ernest Fokoue › Latent trajectory clsases using sparse identification of nonlinear dyanmics - Bernard Ricca, University of Colorado [Colorado Springs] 10:00-10:25 (25min) › Model-free identification and suppression of unknown disturbances to dynamical systems - Per Sebastian Skardal, Trinity College Hartford 10:25-10:50 (25min) › A Stability Analysis of Neural Networks from Low Rank Householder Expansions - Donsub Rim, Washington University in St. Louis 10:50-11:15 (25min) › Hierarchical matrix approximation and PDE learning - Diana Halikias, Department of Mathematics [Cornell] 11:15-11:40 (25min) › Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel - Xiong Wang, Johns Hopkins University 11:40-12:05 (25min) 10:00 - 12:05 (2h05) Geosciences and Planet Earth Gosnell 1300 Carolina Estevez Loza › Incorporating Risk Aversion and Uncertainty into Coastal Adaptation Model - Carolina Estevez Loza, Rochester Institute of Technology 10:00-10:25 (25min) › Disentangling the Oceanic Circulation - Hussein Aluie, University of Rochester 10:25-10:50 (25min) › Assessing the Impact of Contamination on Microbial-Enzyme Dynamics and Soil Function - Sepideh Vafaie, Montclair State University [USA] 10:50-11:15 (25min) › Exploring the Mechanisms Driving the North Atlantic Oscillation - Abdus Samad, University of Rochester 11:15-11:40 (25min) › Mass Transport By Oceanic Mesoscale Eddies - Mehrnoush Kharghani, University of Rochester [USA] 11:40-12:05 (25min) 10:00 - 12:05 (2h05) Numerical Methods and Applications Gosnell 2300 Nick Battista › Input-output analysis of transitional channel flow over large-scale wavy walls - Jino George, University of Connecticut 10:00-10:25 (25min) › Structured input-output analysis of wall-bounded shear flows - Chang Liu, University of Connecticut 10:25-10:50 (25min) › A Reformulation of the Equation Error Approach for Direct Inversion from Full-Field Interior Data - Mobina Ghorbaninejad, Rochester Institute of Technology 10:50-11:15 (25min) › Fast solvers for shape optimization of slip-driven axisymmetric microswimmers in Stokes flow - Ruowen Liu, Rider University 11:15-11:40 (25min) › Optimizing Observation Locations via Minimizing Information Loss - Daniel Waxman, Stony Brook University [SUNY] 11:40-12:05 (25min) 10:00 - 12:05 (2h05) PDE Gosnell 2365 Gino Biondini › Nonlinear dispersive waves, solitons, modulation theory and dispersive shocks in two spatial dimensions - Gino Biondini, State University of New York [Buffalo] 10:00-10:25 (25min) › Initial Value Problems for the Kadomtsev-Petviashvili Equation with Wedge-Shaped Step-Like Initial Conditions - Alexander Bivolcic, State University of New York at Buffalo 10:25-10:50 (25min) › On Galilean Invariance of Mean Kinetic Helicity - Dina Soltani Tehrani, University of Rochester 10:50-11:15 (25min) › Determination of time-dependent source function in a parabolic equation - Sedar Ngoma, State University of New York at Geneseo 11:15-11:40 (25min) › Nonlinear Neutral Inclusions: Effective Conductivity of a Spiral with a Nonlinear Core - Christopher Deng, Department of Mathematics [Cornell] 11:40-12:05 (25min) 10:00 - 12:05 (2h05) Dynamical Systems Gosnell 1250 Big Auditorium Ephraim Agyingi › Using off-diagonal entries of the covariance matrix to determine an optimized node set for early warning signals - Shilong Yu, State University of New York at Buffalo 10:00-10:25 (25min) › Understanding Inertial and Non-Inertial Particle Dynamics in Geophysical Flows - Nishanta Baral, Montclair State University 10:25-10:50 (25min) › Dimension reduction of dynamical systems on graphons - Bisna Mary Eldo, State University of New York at Buffalo 10:50-11:15 (25min) › Dimensional reduction for hypergraph dynamical systems - Sarbendu Rakshit, State University of New York at Buffalo 11:15-11:40 (25min) › Global dynamics in applied delay differential models - Anatoli Ivanov, Pennsylvania State University 11:40-12:05 (25min) 10:00 - 12:05 (2h05) Recent Advances in Theoretical and Computational Inverse Problems Gosnell 2345 Jingni Xiao, Thi-Phong Nguyen › Measure theoretic approaches to stochastic inverse problems - Maria Oprea, Cornell University 10:00-10:25 (25min) › Bilinear operators arising in inverse scattering for the acoustic wave equation - Allan Greenleaf, University of Rochester 10:25-10:50 (25min) › Phase retrieval via media diversity - Kui Ren, Columbia University 10:50-11:15 (25min) › On an Inverse Source Problem for Fractional Parabolic Equations - Thi-Phong Nguyen, New Jersey Institute of Technology 11:15-11:40 (25min) › On the inverse problem of identifying a distributed parameter in a linear elasticity system - Basca Jadamba, Rochester Institute of Technology 11:40-12:05 (25min) 10:00 - 12:05 (2h05) Computational and Theoretical Advances in Physics-informed ML Models and UQ Gosnell 2305 Yue Yu, Akwum Onwunta, Jihong Wang › Automated construction of effective potential via algorithmic implicit bias - Xingjie Li, University of North Carolina, Charlotte 10:00-10:25 (25min) › A well-posed peridynamic neural operator for modeling complex material responses - Jihong Wang, Lehigh University 10:25-10:50 (25min) › Neural Networks with Compact Support Activation Function - Jindong Wang, Pennsylvania State University 10:50-11:15 (25min) › Momentum-based minimization of the Ginzburg-Landau functional on Euclidean spaces and graphs - Oluwatosin Akande, Lehigh University 11:15-11:40 (25min) › TGPT-PINN: Nonlinear model reduction with transformed GPT-PINNs - Yajie Ji, University of Massachusetts Dartmouth, Shanghai Jiao Tong University 11:40-12:05 (25min) Box Lunch Poster Session 12:05 - 13:30 (1h25) Box Lunch Gosnell Hall Atrium 12:05 - 13:30 (1h25) Poster Session Gosnell Hall Atrium Plenary II: Applied Mathematics Problems in Cancer Immunotherapy Drug Development 13:30 - 14:25 (55min) Plenary II: Applied Mathematics Problems in Cancer Immunotherapy Drug Development Gosnell 1250 Big Auditorium Carolyn Cho (Eikon Therapeutics) Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics Computational Fluid Mechanics and Fluid-Structure Interaction Recent Advances in Graphs, Groups, and their Applications Recent Advances in Theoretical and Computational Inverse Problems Data-Driven Modeling and Analysis of Complex Systems Scientific Machine Learning and its Applications Mathematical Modeling of Drug Delivery Recent Developments in Modern Optimization Life Sciences Numerical Analysis Applied Math Data Science Recent Advances in Quantum Computing 14:30 - 16:35 (2h05) Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics Gosnell 1154 Jia Zhao, Daozhi Han › Adaptive Sampling and Transfer Learning Applied to the Deep Galerkin Method for Solving PDEs - Andreas Aristotelous, University of Akron 14:30-14:55 (25min) › Structure-preserving reduced order models for thermodynamically consistent reversible-irreversible PDEs - Zengyan Zhang, The Pennsylvania State University 14:55-15:20 (25min) › Solving the Fokker-Planck Equation with Tensor Neural Networks: Addressing High-Dimensional and Multi-Scale Challenges - Wang Taorui, Worcester Polytechnic Institute 15:20-15:45 (25min) › A Pressure-Robust Hybridized Discontinuous Galerkin Method for the Cahn-Hilliard-Navier-Stokes System - Keegan Kirk, George Mason University [Fairfax] 15:45-16:10 (25min) › Spectral element method for 3D spherical dynamo equations. - Lina Ma, Trinity College 16:10-16:35 (25min) 14:30 - 16:35 (2h05) Computational Fluid Mechanics and Fluid-Structure Interaction Gosnell 1305 Michael Cromer, Paula Vasquez › Coupled Mechanics of Semiflexible Filaments on Fluid Membranes - Sanjay Dharmavaram, Bucknell University 14:30-14:55 (25min) › Boundary conditions for dynamic contact angles in the Volume-of-Fluid method - Shahriar Afkhami, New Jersey Institute of Technology 14:55-15:20 (25min) › Modeling structure transition in living polymers - Michael Cromer, Rochester Institute of Technology 15:20-15:45 (25min) › Hydrodynamics of a vesicle enclosing an active particle suspension - Yuan-Nan Young, New Jersey Instittue of Technology 15:45-16:10 (25min) 14:30 - 16:35 (2h05) Recent Advances in Graphs, Groups, and their Applications Gosnell 2178 Carmine Monetta, Mark Lanning Lewis › Characterizing finite groups whose enhanced power graphs have universal vertices - Mark Lewis, Kent State University 14:30-14:55 (25min) › Characterizations of solvability and nilpotency of finite groups - Hung Tong-Viet, Binghamton University [SUNY] 14:55-15:20 (25min) › On vanishing class sizes in finite groups: recent results - Mariagrazia Bianchi, University of Milan 15:20-15:45 (25min) 14:30 - 16:35 (2h05) Recent Advances in Theoretical and Computational Inverse Problems Gosnell 2345 Jingni Xiao, Thi-Phong Nguyen › Estimating random coefficients in stochastic variational problems using second-order methods - Zi-Jia Gong, Rochester Institute of Technology 14:30-14:55 (25min) › Deterministic-Statistical Approach for Inverse Acoustic Source Problems using Limited Data - Yanfang Liu, Middle Tennessee State University 14:55-15:20 (25min) › The Non-Abelian X-Ray Transform on Asymptotically Hyperbolic Spaces - Haim Grebnev, Yale University 15:20-15:45 (25min) › A fast numerical method for the inverse medium scattering problem - Thanh Nguyen, Rowan University 15:45-16:10 (25min) › On the Convergence of Stochastic Gradient Descent and Its Data-Driven Variant for Ill-Posed Inverse Problems - Zehui Zhou, Rutgers University 16:10-16:35 (25min) 14:30 - 16:35 (2h05) Data-Driven Modeling and Analysis of Complex Systems Gosnell A300 Small Auditorium Nishant Malik › Tree-based Learning for High-Fidelity Prediction of Chaos - Adam Giammarese 14:30-14:55 (25min) › Detecting Chaos in Fire - Jenna McDanold, Los Alamos National Laboratory, Rochester Institute of Technology 14:55-15:20 (25min) › Analysis of a Coevolving Networks-based Opioid Epidemic Model - Kiera Kelly 15:20-15:45 (25min) › Network-Driven QBO Analysis - Daniel Oleynikov, Rochester Institute of Technology 15:45-16:10 (25min) › Severing as a Size Control Mechanism for Cytoskeleton Filaments and Bundles - MD SORIQUE AZIZ MOMIN, Postdoctoral Associate, School of Physics and Astronomy, Rochester Institute of Technology 16:10-16:35 (25min) 14:30 - 16:35 (2h05) Scientific Machine Learning and its Applications Gosnell 1300 Wenrui Hao, Yue Yu › When big neural networks are not enough: physics, multifidelity, kernels - Stinis Panos, Pacific Northwest National Laboratory 14:30-14:55 (25min) › Exploiting Low-Dimensional Data Structures and Predicting Scaling Laws for Transformer Neural Networks - Wenjing Liao, Georgia Institute of Technology 14:55-15:20 (25min) › Physics-informed neural networks for forward and inverse problems of Biot's model - Mingchao Cai, Morgan State University 15:20-15:45 (25min) › Separable DeepONet: A Scalable Framework for High-Dimensional Physics-Informed Neural Operators - Somdatta Goswami, Johns Hopkins University 15:45-16:10 (25min) › One-shot learning for solution operators of partial differential equations - Lu Lu, Yale University [New Haven] 16:10-16:35 (25min) 14:30 - 16:35 (2h05) Mathematical Modeling of Drug Delivery Gosnell 2305 Kara Maki, Lucia Carichino, Narshini Gunputh › Mathematical Model of Gene Therapy Treatment for Neovascular Age-related Macular Degeneration - Lucia Carichino, Rochester Institute of Technology 14:30-14:55 (25min) › Development of PBPK Model to Characterize Ocular Disposition of Protein Therapeutics - Dhaval Shah, University at Buffalo 14:55-15:20 (25min) › No model is an island: QSP with support from PBPK - Christina Battista, Simulations Plus 15:20-15:45 (25min) › A mathematical model of drug delivery via a contact lens during wear - Rayanne Luke, George Mason University [Fairfax] 15:45-16:10 (25min) › Quantitative model of the ocular immune response to seasonal allergic conjunctivitis - Narshini Gunputh, Rochester Institute of Technology 16:10-16:35 (25min) 14:30 - 16:35 (2h05) Recent Developments in Modern Optimization Gosnell 2154 Mateo Diaz, Jialin Liu, Benjamin Grimmer › The radius of statistical efficiency - Mateo Diaz, Johns Hopkins University 14:30-14:55 (25min) › On representing (mixed-integer) linear programs by graph neural networks - Jialin Liu, University of Central Florida [Orlando] 14:55-15:20 (25min) › Performance Estimation For Smooth and Strongly Convex Sets - Benjamin Grimmer, Johns Hopkins University 15:20-15:45 (25min) › Universal subgradient and proximal bundle methods for convex and strongly convex hybrid composite optimization - Jiaming Liang, University of Rochester [USA] 15:45-16:10 (25min) › A novel primal-dual algorithm for decentralized optimization over time-varying graphs - Xin Jiang, Cornell University 16:10-16:35 (25min) 14:30 - 16:35 (2h05) Life Sciences Gosnell 1250 Big Auditorium Niels Otani › Configuring the soma-axon connection for temporally precise neural coincidence detection - Joshua Goldwyn, Swarthmore College 14:30-14:55 (25min) › Modeling the Spread of Spotted Lanternfly in Vineyards and Across Multiple Scales - Woods Jacob, Temple University 14:55-15:20 (25min) › Using stochastic cellular automata to model growth of pCF10-induced complex structures in Enterococcus faecalis under erythromycin treatment - Madison Shoraka, Lewis Katz School of Medicine 15:20-15:45 (25min) › A neural model of shell structure and pattern in mollusks - Rahnuma Islam, University of Pittsburgh 15:45-16:10 (25min) 14:30 - 16:35 (2h05) Numerical Analysis Gosnell 2300 Basca Jadamba › Optimizing adaptive mesh refinement for numerical relativity - Chloe Malinowski, Rochester Institute of Technology 14:30-14:55 (25min) › Polynomial Interpolation on the Square and Cube - Richard Greene, New Jersey Institute of Technology [Newark] 14:55-15:20 (25min) › Quasi-Newton MALA Sampling for Rare Event Uncertainty Quantification - Elsayed Eshra, The Pennsylvania State University 15:20-15:45 (25min) › A Quadratic Penalty and Moreau Envelope Descent Algorithm for Constrained Global Minimization - Stephanie Wang, University of Rochester [USA] 15:45-16:10 (25min) › A consistent numerical approach to quantum graph computations - Roy Goodman, New Jersey Institute of Technology 16:10-16:35 (25min) 14:30 - 16:35 (2h05) Applied Math Gosnell 2365 Raluca Felea › Integral operators over quadratic surfaces - Raluca Felea, Rochester Institute of Technology 14:30-14:55 (25min) › Reconstruction of cerebral spinal fluid flow in the brain using scientific machine learning - Mohammad Vaezi, University of Rochester 14:55-15:20 (25min) › Accelerating Transition Dynamics Simulation with Recent Advances in Probabilistic Machine Learning - Yuanqi Du, Cornell University [Ithaca] 15:20-15:45 (25min) › Topological Anderson insulator by mathematical homogenization - THUYEN DANG, University of Chicago 15:45-16:10 (25min) 14:30 - 16:35 (2h05) Data Science Gosnell 1174 Jason LaRuez and Meghan Childs › Topological Tools for Cybersecurity - Jason LaRuez, Rochester Institute of Technology 14:30-14:55 (25min) › Progressing a University COVID-19 Compartment Model via Bayesian Model-Data Fusion - Meghan Childs, Rochester Institute of Technology 14:55-15:20 (25min) › Robust First and Second-Order Differentiation for Regularized Optimal Transport - Felix Ye, University at Albany 15:20-15:45 (25min) › Detecting interpretable communities in multilayer correlation networks - Saiful Islam, Institute for Artificial Intelligence and Data Science, SUNY at Buffalo, Buffalo, NY 15:45-16:10 (25min) › Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations - Chuqi Chen, the Hong Kong University of Science and Technology 16:10-16:35 (25min) 14:30 - 16:35 (2h05) Recent Advances in Quantum Computing Gosnell 2130 Zeguan Wu, Mohammadhossein Mohammadisiahroudi › Security of Partially Corrupted Quantum Repeater Networks - Adrian Harkness, Lehigh University 14:30-14:55 (25min) › Quantum Interior Point Methods for Linear Optimization - Zeguan Wu, Lehigh University 14:55-15:20 (25min) › Progress of Quantum Approximate Optimization in the Early Fault-Tolerant Era - Zichang He, JPMorganChase 15:20-15:45 (25min) › From Classical to Quantum Computing: Weighted Essential Non-Oscillatory Methods for Hyperbolic Conservation Laws - Ryan Vogt, U.S. Department of Defense 15:45-16:10 (25min) SIAM NNP Business Meeting 16:45 - 17:45 (1h) SIAM NNP Business Meeting Gosnell A300 Small Auditorium	Advances in Efficient and Accurate Kinetic and Fluid Solvers Data-Driven Modeling and Analysis of Complex Systems Scientific Machine Learning and its Applications Multiscale Flows Optimization Methods and Applications Life Sciences Dynamical Systems Numerical Analysis Applied Math Data Science, Discrete Math, and Theoretical Computing Computational and Theoretical Advances in Physics-informed ML Models and UQ Machine Learning Theory and Applications 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) Coffee Break 10:35 - 11:00 (25min) Coffee Break Overcoming order reduction in Runge-Kutta methods via weak stage order: Theory and order barriers 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) Closing Remarks 12:00 - 12:10 (10min) Closing Remarks