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

8:00 - 8:30 (30min)

Registration and Breakfast Snacks

Gosnell Atrium

8:30 - 8:40 (10min)

Opening Remarks

Gosnell 1250 Big Auditorium

Tony Harkin (RIT) and Roy Goodman (NJIT)

8:40 - 9:35 (55min)

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

Gosnell 1250 Big Auditorium

Ron Buckmire (Marist)

9:35 - 10:00 (25min)

Coffee break

Gosnell Hall Atrium

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)

12:05 - 13:30 (1h25)

Box Lunch

Gosnell Hall Atrium

12:05 - 13:30 (1h25)

Poster Session

Gosnell Hall Atrium

13:30 - 14:25 (55min)

Plenary II: Applied Mathematics Problems in Cancer Immunotherapy Drug Development

Gosnell 1250 Big Auditorium

Carolyn Cho (Eikon Therapeutics)

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)

16:45 - 17:45 (1h)

SIAM NNP Business Meeting

Gosnell A300 Small Auditorium