MS01 / CKB 303
Topic: Computational and Applied Group Theory

• 10:05 AM - 10:30 AM
  Emanuele Rodaro (Politecnico di Milano), Inverse graphs quasi-isometric to trees and generalizations of Muller-Schupp theorem

• 10:30 AM - 10:55 AM
  Andrzej Zuk (Université de Paris), Spectral invariants of groups

• 10:55 AM - 11:20 AM
  Dmytro Savchuk (University of South Florida), Contracting self-similar groups as a platform for group based cryptography

• 11:20 AM - 11:45 AM
  Lisa Carbone (Rutgers University), Constructing groups for infinite dimensional Lie algebras

• 11:45 AM - 12:10 PM
  Martina Vigorito (University of Salerno), A way to Cryptanalyze (Simultaneous) Conjugacy Search Problem in certain Metabelian Platform Groups

MS02 / CKB 313
Topic: Recent advances in multiscale methods

• 10:05 AM - 10:30 AM
  Amir Sagiv (Technion), Radiative Decay in Floquet Media

• 10:30 AM - 10:55 AM
  Raghav Venkatraman (Courant Institute, New York University), Recent quantitative results on the homogenization of eigenvalues and eigenfunctions

• 10:55 AM - 11:20 AM
  Siavash Jafarzadeh (Lehigh University), Neural Peridynamics: a nonlocal operator for data-driven constitutive models

• 11:20 AM - 11:45 AM
  Yiming Fan (Lehigh University), Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification

• 11:45 AM - 12:10 PM
  Johan Warnegard (Columbia University), Homogenization of elliptic multiscale problems by super-localization

MS03 / CKB 314
Topic: Computational modeling in biological systems

• 10:05 AM - 10:30 AM
  Mingchao Cai (Morgan State University), Modeling and Simulation of Lung Ventilation

• 10:30 AM - 10:55 AM
  Duc Nguyen (University of Kentucky), Emerging Mathematics and Deep Learning Models in Drug Design

• 10:55 AM - 11:20 AM
  Lina Ma (Trinity College), A novel numerical scheme for phase-field models

• 11:20 AM - 11:45 AM
  Zengyan Zhang (Binghamton University, SUNY), Computational Modeling of Cell Migration in Microfluidic Channel

• 11:45 AM - 12:10 PM
  Chuan Li (West Chester University of PA), The Augmented Matched Interface and Boundary (AMIB) method for simulating the Magnetic Fluid Hyperthermia (MFH) in irregular domains

MS04 / CKB 320
Topic: Mathematics and Learning for Visual Tasks

• 10:05 AM - 10:30 AM
  Yiming Ying (SUNY Albany), Interplay between Generalziation and Optimization via Algorithmic Stability

• 10:30 AM - 10:55 AM
  Yunlong Feng (SUNY Albany), Learning through empirical gain maximization

• 10:55 AM - 11:20 AM
  Zi Yang (University at Albany, SUNY), Hardware-Efficient Mixed-Precision CP Tensor Decomposition

• 11:20 AM - 11:45 AM
  Yifan Sun (Stony Brook University), Adapting learning to very large graphs

• 11:45 AM - 12:10 PM
  Feng Yu (University of Minnesota), Hyperparameter Estimation for Sparse Bayesian Learning Models

MS05 / CKB 330
Topic: Advances in Graph Theory

• 10:05 AM - 10:30 AM
  Jonathan Cutler (Montclair State University), The independence polynomial of a graph at -1

• 10:30 AM - 10:55 AM
  John Saccoman (Seton Hall University), Surgeries that impact All-Terminal Reliability and Spanning Trees

• 10:55 AM - 11:20 AM
  Kerry Ojakian (Bronx Community College, CUNY), Graph Burning of Caterpillars

• 11:20 AM - 11:45 AM
  Oliver Alvarado Rodriguez (New Jersey Institute of Technology), Arachne: High-Performance Algorithms and Software for Large-Scale Graph Analytics

• 11:45 AM - 12:10 PM
  Nadia Benakli (New York City College of Technology, CUNY), The threshold strong dimension of trees

MS06 / CKB 206
Topic: Optimal Transport: Computation, Applications, and Extensions

• 10:05 AM - 10:30 AM
  Dejan Slepčev (Carnegie Mellon University), Geometry of sliced optimal transport and projected-transport gradient flows

• 10:30 AM - 10:55 AM
  Yuan Gao (Purdue University), Optimal transport in an inhomogeneous media: convergence of gradient flows and the effective Wasserstein metric

• 10:55 AM - 11:20 AM
  Shiying Li (University of North Carolina at Chapel Hill), Measure Transfer via Stochastic Slicing and Matching

• 11:20 AM - 11:45 AM
  Siting Liu (University of California, Los Angeles), A primal-dual approach for solving conservation Laws with Implicit in Time Approximations

• 11:45 AM - 12:10 PM
  Jiajia Yu (Duke University), Computational Mean-Field Games on Manifolds

MS07 / CKB 212
Topic: Advances in analysis of partial and lattice differential equations

• 10:05 AM - 10:30 AM
  Joshua McGinnis (University of Pennsylvania), Approximating Some Random Fermi-Pasta-Ulam-Tsingou (FPUT) Lattices by Korteweg-De Vries (KdV) Equations

• 10:30 AM - 10:55 AM
  Nsoki Mavinga (Swarthmore College), Nonlinear Elliptic Problems with Growth up to Critical Exponent

• 10:55 AM - 11:20 AM
  Udoh Akpan (Drexel University), Solitary Waves in Next Nearest Neighbor FPUT Lattices

• 11:20 AM - 11:45 AM
  Atilla Yilmaz (Temple University), Loss of quasiconvexity in the periodic homogenization of viscous Hamilton-Jacobi equations

• 11:45 AM - 12:10 PM
  Ron Perline (Drexel University), Aspects of a new integrable linkage problem

MS08 / CKB 215
Topic: Mathematics of Evolution

• 10:05 AM - 10:30 AM
  Sungsik Kong (University of Wisconsin-Madison), Inferring phylogenetic networks from sequence data using composite likelihood

• 10:30 AM - 10:55 AM
  Kristina Wicke (New Jersey Institute of Technology), The weighted total cophenetic index: A novel balance index for phylogenetic networks

• 10:55 AM - 11:20 AM
  Paul Lewis (University of Connecticut), Multispecies coalescent inference using Sequential Monte Carlo

• 11:20 AM - 11:45 AM
  Arindam RoyChoudhury (Weill Cornell Medicine, Cornell University), Fast phylogenies from genomic big data, without compromising accuracy

• 11:45 AM - 12:10 PM
  Vu Dinh (University of Delaware), Statistical learning with evolutionary-related correlated random variables

MS09 / CKB 219
Topic: Data-Driven Modeling and Analysis of Complex Systems

• 10:05 AM - 10:30 AM
  Fei Lu (Johns Hopkins University), A data-adaptive RKHS regularization for ill-posed linear inverse problems

• 10:30 AM - 10:55 AM
  Brian Van Koten (University of Massachusetts, Amherst), Sampling Molecular Systems Using Multigrid

• 10:55 AM - 11:20 AM
  Didem Kochan (Lehigh University), Gaussian Process Regression with Soft Inequality and Monotonicity Constraints

• 11:20 AM - 11:45 AM
  Lu Lu (Yale University), Fourier-DeepONet: Fourier-enhanced deep operator networks for geophysics

• 11:45 AM - 12:10 PM
  Yao Li (University of Massachusetts Amherst), Using data-driven methods to detect underlying dynamics

MS10 / CKB 222
Topic: Low-rank methods and their applications in large data and high-dimensional problems

• 10:05 AM - 10:30 AM
  Alex Townsend (Cornell University), Why are so many matrices and tensors compressible?

• 10:30 AM - 10:55 AM
  Fan Tian (Tufts University), Tensor BM-Decomposition for Compression and Analysis of Spatio-Temporal Third-order Data

• 10:55 AM - 11:20 AM
  William Sands (University of Delaware), A dynamic low-rank approximation for the linear kinetic transport equation in the diffusive limit

• 11:20 AM - 11:45 AM
  Stefan Schnake (Oak Ridge National Laboratory), A Predictor-Corrector Strategy for Adaptivity in Dynamical Low-Rank Approximations

MS11 / CKB 226
Topic: Advances in Inverse Problems and Imaging

• 10:05 AM - 10:30 AM
  Isaac Harris (Purdue University), Asymptotic Analysis Applied to Small Volume Inverse Shape Problems

• 10:30 AM - 10:55 AM
  Thu Thi Anh Le (Kansas State University), Orthogonality Sampling Methods for Electromagnetic Inverse Scattering

• 10:55 AM - 11:20 AM
  Eliza (Z.-H.) Michalopoulou (New Jersey Institute of Technology), Simplifying the inverse problem in ocean acoustics: sequential filtering and linearization

• 11:20 AM - 11:45 AM
  Dinh-Liem Nguyen (Kansas State University), Imaging periodic structures with super-resolution in electromagnetic inverse scattering

• 11:45 AM - 12:10 PM
  Thanh Nguyen (Rowan University), Alternating minimization approach for inverse scattering problems

CS01 / CKB 310
Topic: Numerical Linear Algebra

• 10:05 AM - 10:30 AM
  Daniel Szyld (Temple University), Convergence of randomized and greedy relaxation schemes for solving nonsingular linear systems of equations

• 10:30 AM - 10:55 AM
  Sarah Gift (Drexel University), Real Factorization of PSD Matrix Polynomials

• 10:55 AM - 11:20 AM
  Noah Amsel (New York University), Near-Optimal Approximation of Matrix Functions by the Lanczos Method

• 11:20 AM - 11:45 AM
  Osama Raisuddin (Rensselaer Polytechnic Institute), Quantum Relaxation Method for Positive- Definite Linear Systems

• 11:45 AM - 12:10 PM
  Andrew Higgins (Temple University), Analysis of Randomized Householder-Cholesky QR Factorization with Multisketching

CS02 / CKB 214
Topic: Machine Learning

• 10:05 AM - 10:30 AM
  TBA

• 10:30 AM - 10:55 AM
  Angel Pineda (Manhattan College), Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI Reconstructions based on Human Observer Signal Detection

• 10:55 AM - 11:20 AM
  Gregory Macchio (Princeton University), Constrained Autoencoders for Isometric Manifold Embedding

• 11:20 AM - 11:45 AM
  Masud Rana (University of Kentucky), Differential geometry and graph theory-based machine-learning model for drug design

• 11:45 AM - 12:10 PM
  Jonah Botvinick-Greenhouse (Cornell University), Learning dynamics on invariant measures using PDE-constrained optimization

MS12 / CKB 303
Topic: Computational and Applied Group Theory

• 02:35 PM - 03:00 PM
  Kit Battarbee (University of York), SPDH-Sign: towards Efficient, Post-quantum, Group-based Signatures

• 03:00 PM - 03:25 PM
  Eilidh McKemmie (Rutgers University), Randomness and Galois groups

• 03:25 PM - 03:50 PM
  Alexander Hulpke (Colorado State University), Hybrid Groups - Generalizing Polycyclic Presentations

• 03:50 PM - 04:15 PM
  Carmine Monetta (University of Salerno), Algorithms and applications: conjugacy problem in polycyclic groups

• 04:15 PM - 04:40 PM
  Marialaura Noce (Università di Salerno), Automaton group-based cryptography

MS13 / CKB 313
Topic: Dynamics, phase transitions and equilibria in stochastic systems

• 02:35 PM - 03:00 PM
  Cecilia Mondaini (Drexel University), An involution framework for Metropolis-Hastings algorithms on general state spaces

• 03:00 PM - 03:25 PM
  Wai-Tong (Louis) Fan (Indiana University), Stochastic waves on metric graphs and their genealogies

• 03:25 PM - 03:50 PM
  Jacob Shapiro (Princeton), TBD

• 03:50 PM - 04:15 PM
  Philip Zaleski (New Jersey Institute of Technology), Uniqueness and Convergence to Invariant Measures of Stochastic Gradient Descent Markov Operators

• 04:15 PM - 04:40 PM
  James MacLaurin (New Jersey Institute of Technology), Spin Glass Dynamics

MS14 / CKB 314
Topic: Computational modeling in biological systems

• 02:35 PM - 03:00 PM
  Andreas Aristotelous (The University of Akron), Modeling immune responses to biofilm infection under hypoxia and innate immune responses to SARS-CoV-2 infection in the lung alveolar region

• 03:00 PM - 03:25 PM
  Navid Mohammad Mirzaei (Columbia University), The impact of immune cells on tumor microenvironment: A mathematical framework

• 03:25 PM - 03:50 PM
  Liyao Lyu (Michigan State University), Consensus-based construction of high-dimensional free energy surface

• 03:50 PM - 04:15 PM
  Pei Ge (Michigan State University), Data-driven learning of Generalized Langevin Equations with state-dependent memory

• 04:15 PM - 04:40 PM
  Sun Lee (The Pennsylvania State University), Computing Multiple Solutions of Elliptic Semi-linear Equations

MS15 / CKB 320
Topic: Mathematics and Learning for Visual Tasks

• 02:35 PM - 03:00 PM
  Dongfang Liu (Rochester Institute of Technology), Human-Embodied Visual Intelligence

• 03:00 PM - 03:25 PM
  Jihun Han (Dartmouth College), Learning In-between Imagery Dynamics via Physical Latent Spaces

• 03:25 PM - 03:50 PM
  Lizuo Liu (Dartmouth College), Designing Neural Networks for Hyperbolic Conservation Laws to Predict Entropy Stable Solutions

• 03:50 PM - 04:15 PM
  Gwendolyn McDonald (Syracuse University/AFRL), Adversarial Attacks on Foundational Vision Models

• 04:15 PM - 04:40 PM
  Jianchen Wei (Syracuse University), Predicting fluid particle trajectories without flow computations: A data-driven approach

MS16 / CKB 330
Topic: Advances in Graph Theory

• 02:35 PM - 03:00 PM
  Deepak Bal (Montclair State University), Large Monochromatic Components in Expansive Hypergraphs

• 03:00 PM - 03:25 PM
  Eric Ramos (Stevens Institute of Technology), A model for random braiding in tree configuration spaces

• 03:25 PM - 03:50 PM
  Tony Harkin (Rochester Institute of Technology), Finding Communities and Anticommunities in Networks

• 03:50 PM - 04:15 PM
  Nate Kahl (Seton Hall University), On Maximum Graphs in Tutte Polynomial Posets

• 04:15 PM - 04:40 PM
  Jnanajyoti Bhaumik (University at Buffalo), Fixation probability of switching networks

• 04:40 PM - 05:05 PM
  Chanon Thongprayoon (University at Buffalo), Online and offline network embedding using landmarks

MS17 / CKB 206
Topic: Optimal Transport: Computation, Applications, and Extensions

• 02:35 PM - 03:00 PM
  Yunan Yang (Cornell University), HV Geometry for Signal Comparison

• 03:00 PM - 03:25 PM
  Wuchen Li (University of South Carolina), Information Gamma calculus: Convexity analysis for stochastic differential equations

• 03:25 PM - 03:50 PM
  Levon Nurbekyan (Emory University), Applications of no-collision transportation maps in manifold learning

• 03:50 PM - 04:15 PM
  Shu Liu (UCLA), Neural Monge map estimation and its applications

• 04:15 PM - 04:40 PM
  Varun Khurana (UC San Diego), Machine Learning with Optimal Transport Features: Supervised and Unsupervised

MS18 / CKB 212
Topic: Large-Scale Structured Optimization

• 02:35 PM - 03:00 PM
  Wei Liu (Rensselaer Polytechnic Institute), Inexact proximal augmented Lagrangian method for weakly-convex problems with convex constraints

• 03:00 PM - 03:25 PM
  Benjamin Grimmer (Johns Hopkins University), Accelerated Gradient Descent via Long Steps

• 03:25 PM - 03:50 PM
  Mateo Díaz (Johns Hopkins University), Stochastic Approximation With Decision-dependent Distributions: Asymptotic Normality And Optimality

• 03:50 PM - 04:15 PM
  Jiaming Liang (University of Rochester), Variance Reduction and Low Sample Complexity in Stochastic Optimization via Proximal Point Methods

• 04:15 PM - 04:40 PM
  Yangyang Xu (Rensselaer Polytechnic Institute), Decentralized Methods for Composite Nonconvex Strongly-Concave Minimax Problems

MS19 / CKB 215
Topic: Mathematics of Evolution

• 02:35 PM - 03:00 PM
  Sebastien Roch (University of Wisconsin-Madison), Recovering a species tree under horizontal gene transfer

• 03:00 PM - 03:25 PM
  Julia Chifman (American University), Speciation times under the multispecies coalescent: what can be computed and how?

• 03:25 PM - 03:50 PM
  Alexey Markin (Iowa State University), Summary inference of phylogenetic networks and applications to virus evolution

• 03:50 PM - 04:15 PM
  Quaid Morris (Sloan Kettering Institute), Deconvolving cancer phylogenies

• 04:15 PM - 04:40 PM
  Joe Rusinko (Hobart and William), Statistical Learning with Phylogenetic Network Invariants

MS20 / CKB 219
Topic: Data-Driven Modeling and Analysis of Complex Systems

• 02:35 PM - 03:00 PM
  Molei Tao (Georgia Tech), Trustworthy learning of physical dynamics beyond Euclidean cases

• 03:00 PM - 03:25 PM
  Weiqi Chu (University of Massachusetts Amherst), A mean-field description of opinion-dynamics models and inference of the interaction kernel

• 03:25 PM - 03:50 PM
  Yanlai Chen (UMass Dartmouth), GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks toward non-intrusive Meta-learning of parametric PDEs

• 03:50 PM - 04:15 PM
  Sean Hill (University at Albany), Data Driven Methods for learning SDEs on Manifolds

• 04:15 PM - 04:40 PM
  TBA

MS21 / CKB 222
Topic: Low-rank methods and their applications in large data and high-dimensional problems

• 02:35 PM - 03:00 PM
  Jack Coughlin (University of Washington), A conservative dynamical low-rank method for the Vlasov-Dougherty-Fokker-Planck equation via macro-micro decomposition

• 03:00 PM - 03:25 PM
  Hossein Naderi (University of Pittsburgh), Oblique projection for scalable rank-adaptive reduced-order modeling of nonlinear stochastic PDEs with time-dependent bases

• 03:25 PM - 03:50 PM
  Alec Dektor (Lawrence Berkeley National Lab), Coordinate-adaptive integration of PDEs on tensor manifolds

• 03:50 PM - 04:15 PM
  Joseph Nakao (Swarthmore College), Implicit and implicit-explicit low-rank integrators for solving time-dependent problems

• 04:15 PM - 04:40 PM
  TBA

MS22 / CKB 226
Topic: Advances in Inverse Problems and Imaging

• 02:35 PM - 03:00 PM
  Rongjie Lai (Purdue University), Computational Inverse Mean-field Games

• 03:00 PM - 03:25 PM
  Victor Hughes (Purdue University), The Anisotropic Transmission Eigenvalue Problem with a Conductive Boundary

• 03:25 PM - 03:50 PM
  Thi-Phong Nguyen (New Jersey Institute of Technology), Transmission eigenvalue problems in inverse scattering theory for locally perturbed periodic media

• 03:50 PM - 04:15 PM
  Kui Ren (Columbia University), Inverse problems to a system of semilinear Helmholtz equations

• 04:15 PM - 04:40 PM
  TBA

CS03 / CKB 310
Topic: Numerical Analysis

• 02:35 PM - 03:00 PM
  Emmanuel Asante-Asamani (Clarkson University), A fourth-order exponential time differencing scheme with dimensional splitting for non-linear reaction-diffusion systems

• 03:00 PM - 03:25 PM
  Richard Greene (New Jersey Institute of Technology), Efficient Polynomial Interpolation on the Square and Cube

• 03:25 PM - 03:50 PM
  Benjamin Seibold (Temple University), How Order Reduction can Manifest, and be Overcome, in Explicit Runge-Kutta Schemes

• 03:50 PM - 04:15 PM
  TBA

• 04:15 PM - 04:40 PM
  TBA

CS04 / CKB 214
Topic: Data Science

• 02:35 PM - 03:00 PM
  Joy Upton-Azzam (Susquehanna University), QN Optimization with Hessian Samples

• 03:00 PM - 03:25 PM
  Kanan Gupta (University of Pittsburgh), Achieving acceleration despite very noisy gradients

• 03:25 PM - 03:50 PM
  Jonathan Gryak (Queens College, CUNY), Nonlinear Algebraic Data Analysis

• 03:50 PM - 04:15 PM
  Alex Gittens (Rensselaer Polytechnic Institute), Reduced Label Complexity of Tight Linear Regression

• 04:15 PM - 04:40 PM
  Abigail Hickok (Columbia University), An Intrinsic Approach to Scalar-Curvature Estimation for Point Clouds, Networks, and Finite Metric Spaces

MS23 / CKB 120
Topic: Analysis and Control of Dynamic Instabilities in Multi-agent Systems

• 08:30 AM - 08:55 AM
  Xiaoqian Gong (Amherst college), Mathematical Properties of a Microscopic Car-Following Model

• 08:55 AM - 09:20 AM
  Sean McQuade (Rutgers University - Camden), Mobile traffic control on a live highway

• 09:20 AM - 09:45 AM
  Nour Khoudari (Temple University), Instabilities in Car-following Across Scales

• 09:45 AM - 10:10 AM
  Nicole Zalewski (Temple University), Properties of Third Order Relaxation Microscopic Traffic Models

• 10:10 AM - 10:35 AM
  Jacob Woods (Temple University), Bridging the gap between 1D car-following and 2D swarming

MS24 / CKB 124
Topic: Recent advances in scientific computing and data science

• 08:30 AM - 08:55 AM
  Shravan Veerapaneni (University of Michigan), Role of adaptive grids in efficient quantum algorithm design

• 08:55 AM - 09:20 AM
  Wenrui Hao (Penn State University), HomPINNs for learning multiple solutions of nonlinear PDEs

• 09:20 AM - 09:45 AM
  Jiequn Han (Flatiron Institute), Enjoy the Best of Both Worlds: A Neural-Network Warm-Start Approach for PDE Problems

• 09:45 AM - 10:10 AM
  Mengjia Xu (New Jersey Institute of Technology), Adaptive time-stepping for learning temporal graph embeddings using transformers

• 10:10 AM - 10:35 AM
  Yahong Yang (The Pennsylvania State University), Homotopy Relaxation Training Algorithms for Infinite-Width Two-Layer ReLU Neural Networks

MS25 / CKB 206
Topic: Recent developments on nonlocal models in theory and applications

• 08:30 AM - 08:55 AM
  Changhui Tan (University of South Carolina), Nonlocal traffic flow models

• 08:55 AM - 09:20 AM
  Tadele Mengesha (The University of Tennessee, Knoxville), On the optimal control of a linear peridynamic model

• 09:20 AM - 09:45 AM
  Chong Wang (Washington and Lee University), Core shells and double bubbles in a weighted nonlocal isoperimetric problem

• 09:45 AM - 10:10 AM
  TBA

• 10:10 AM - 10:35 AM
  TBA

MS26 / CKB 215
Topic: Research by Undergraduate Students in Applied Mathematics

• 08:30 AM - 08:55 AM
  Clara Chaplin (Bucknell University), Optimizing Final Exam Schedules at Bucknell University

• 08:55 AM - 09:20 AM
  Alexa Karamanoogian (The College of New Jersey), Investigating the Michaelis-Menten Assumption with a Data-driven Modeling Approach

• 09:20 AM - 09:45 AM
  Mark Hubertus (Haverford College), Mathematical Modeling to Investigate the Evolutionary Potential of T4 Phages Attaching to E. Coli

• 09:45 AM - 10:10 AM
  Pierce Wickenden (The College of New Jersey), New Swarming Behaviors Among Interacting Oscillators

• 10:10 AM - 10:35 AM
  Sasha Heywood (Amherst College), Adverse effects as a predictor of tumor response in maintenance therapy of advanced lung cancer by pemetrexed and bevacizumab

MS27 / CKB 217
Topic: Data assimilation and modeling of cardiac dynamics

• 08:30 AM - 08:55 AM
  Eve Armstrong (New York Institute of Technology, American Museum of Natural History), Predicting the Behavior of Sparsely-Sampled Systems Across Neurobiology and Epidemiology

• 08:55 AM - 09:20 AM
  Dae Wook Kim (University of Michigan), Wearable data assimilation to estimate the circadian phase

• 09:20 AM - 09:45 AM
  Trine Krogh-Madsen (Weill Cornell Medicine), Optimizing a Cell Model for Immunity Against Arrhythmogenesis

• 09:45 AM - 10:10 AM
  Yoichiro Mori (University of Pennsylvania), Stability of Fronts of the Bidomain Model

• 10:10 AM - 10:35 AM
  TBA

MS28 / CKB 219
Topic: The Matrix-Vector Complexity of Linear Algebra

• 08:30 AM - 08:55 AM
  Shyam Narayanan (MIT), New Lower Bounds for Matrix-Vector Algorithms

• 08:55 AM - 09:20 AM
  Diana Halikias (Cornell University), Data-efficient matrix recovery and PDE learning

• 09:20 AM - 09:45 AM
  William Swartworth (Carnegie Melon University), Spectrum Approximation via non-adaptive Queries

• 09:45 AM - 10:10 AM
  Tyler Chen (New York University), Peering into the black box: Krylov-aware stochastic trace estimation

• 10:10 AM - 10:35 AM
  Raphael Meyer (New York University), Hutchinson's Estimator is Bad at Kronecker-Trace-Estimation

MS29 / CKB 222
Topic: Quantum Computing and Optimization

• 08:30 AM - 08:55 AM
  Teal Witter (NYU), Robust and Space-Efficient Dual Adversary Quantum Query Algorithms

• 08:55 AM - 09:20 AM
  Anthony Angone (University of Delaware), Hybrid Quantum-Classical Multilevel Approach for Maximum Cuts on Graphs

• 09:20 AM - 09:45 AM
  Ananth Tenneti (Carnegie Mellon University), Quantum Annealing: Algorithms, Hardware, Applications

• 09:45 AM - 10:10 AM
  Mohammadhossein Mohammadisiahroudi (Lehigh University), Accurately Solving Linear Systems with Quantum Oracles

• 10:10 AM - 10:35 AM
  Pouya Sampourmahani (Lehigh University), A Dual Quantum Logarithmic Barrier Method for Linear Optimization

MS30 / CKB 226
Topic: Advances in integral equations and quadrature methods, and their applications in computational physics

• 08:30 AM - 08:55 AM
  Bobbie Wu (University of Massachusetts Lowell), An Euler-Maclaurin formula for near-singular integrals

• 08:55 AM - 09:20 AM
  Abi Gopal (Yale University), A new boundary integral equation solver for PDEs in exteriors of open arcs

• 09:20 AM - 09:45 AM
  Hai Zhu (Flatiron Institute), A high-order close evaluation scheme of Helmholtz layer potentials in 3D

• 09:45 AM - 10:10 AM
  Tristan Goodwill (University of Chicago), A fast integral equation method for PDEs on surfaces

• 10:10 AM - 10:35 AM
  Fruzsina Agocs (Flatiron Institute), Trapped acoustic waves and raindrops: High-order integral equation solution of the localized excitation of a periodic staircase

CS05 / CKB 106
Topic: Mathematical biology: physics and cancer

• 08:30 AM - 08:55 AM
  TBA

• 08:55 AM - 09:20 AM
  Yue Wang (Columbia University), Non-additivity and non-commutativity of mutations in cancer progression

• 09:20 AM - 09:45 AM
  Jordana O'Brien (Rochester Institute of Technology), A Mathematical Model of Particle Deposition in the Human Lung

• 09:45 AM - 10:10 AM
  Madison Shoraka (Temple University), Modeling biofilm dynamics of Enterococcus faecalis under erythromycin treatment

• 10:10 AM - 10:35 AM
  TBA

CS06 / CKB 114
Topic: Mathematical Physics

• 08:30 AM - 08:55 AM
  Brian Choi (USMA), Localization of discrete fractional Schrodinger dynamics

• 08:55 AM - 09:20 AM
  Andrew Hofstrand (New York Institute of Technology), Bridging Opposing Asymptotic Regimes on Nonlinear Lattices

• 09:20 AM - 09:45 AM
  Gokul Nair (Cornell University), Energy minimizing configurations of highly stretchable elastic surfaces

• 09:45 AM - 10:10 AM
  Ensela Mema (Kean University), Using Deep Ritz Method to solve Variational Models of Microstructure

• 10:10 AM - 10:35 AM
  Foluso Ladeinde (Stony Brook University), An engineer’s assessment of modern developments in applied complex variables

TUTORIALS / CKB 207

• 08:30 AM - 9:30 AM
  Roni Barak Ventura (New York University Tandon School of Engineering), Causal inference with transfer entropy: An introduction for beginners

• 09:35 AM - 10:35 AM
  Annan Yu (Cornell University), Theory and practices of linear systems in machine learning

MS31 / CKB 120  NEW LOCATION: CKB 303
Topic: Fast algorithms: community software and applications

• 01:00 PM - 01:25 PM
  Manas Rachh (Flatiron Institute), A comparison of various Maxwell PEC formulations using fmm3dbie

• 01:25 PM - 01:50 PM
  TBA

• 01:50 PM - 02:15 PM
  Haiyang Wang (Yale University), Electrostatics computation for compactly packed conducting spheres

• 02:15 PM - 02:40 PM
  Zijian Wang (Yale University), On an inequality related to the normal derivative of the first Dirichlet eigenfunction of a convex domain in the plane

• 02:40 PM - 03:05 PM
  Travis Askham (New Jersey Institute of Technology), Representing mixed boundary conditions and material interfaces in the chunkie software

MS32 / CKB 124
Topic: Recent advances in scientific computing and data science

• 01:00 PM - 01:25 PM
  George Karniadakis (Brown University), Stochastic Dimension Gradient Descent (SDGD) for High-Dimensional PDEs

• 01:25 PM - 01:50 PM
  Zhihui Du (New Jersey Institute of Technology), Contour Algorithm for Connectivity

• 01:50 PM - 02:15 PM
  Bian Li (Lehigh University), Solving Wave Equations with Fourier Neural Operator

• 02:15 PM - 02:40 PM
  Min Zhu (Yale University), Reliable extrapolation of deep neural operators informed by physics or sparse observations

• 02:40 PM - 03:05 PM
  Anran Jiao (Yale University), One-shot learning for solution operators of partial differential equations

MS33 / CKB 206
Topic: Recent developments on nonlocal models in theory and applications

• 01:00 PM - 01:25 PM
  Olena Burkovska (Oak Ridge National Laboratory), Multifidelity methods for uncertainty quantification of a nonlocal model for phase changes in materials

• 01:25 PM - 01:50 PM
  Zirui Xu (Columbia University), Bifurcation and fission in the liquid drop model: A phase-field approach

• 01:50 PM - 02:15 PM
  Shang-Huan Chiu (Lehigh University), Nonlocal RANS Model with Data-Driven Learning

• 02:15 PM - 02:40 PM
  James Scott (Columbia University), Nonlocal Boundary Value Problems with Local Boundary Conditions

• 02:40 PM - 03:05 PM
  TBA

MS34 / CKB 215
Topic: Mathematics of plasma confinement for stellarator design and optimization

• 01:00 PM - 01:25 PM
  Andrew Giuliani (Flatiron Institute), QUASR: the QuASisymmetric Stellarator Repository

• 01:25 PM - 01:50 PM
  Alan Kaptanoglu (Courant Institute, New York University), Cost-efficient magnetic field shaping with optimized arrays of permanent magnets

• 01:50 PM - 02:15 PM
  Gabriel Provencher Langlois (Courant Institute, New York University), Optimization and iterative methods for solving large-scale, sparse and non-convex problems arising in inverse magnetostatics

• 02:15 PM - 02:40 PM
  Max Ruth (Cornell University), Finding Invariant Circles via a Single Trajectory

• 02:40 PM - 03:05 PM
  Misha Padidar (Uber), Understanding Trade-offs in Stellarator Design with Multi-objective Optimization

MS35 / CKB 217
Topic: Computational modeling of cancer biology and treatment

• 01:00 PM - 01:25 PM
  Afton Widdershins (Penn State University College of Medicine), Using Optimal Control to Explore Multi-Drug Adaptive Therapy

• 01:25 PM - 01:50 PM
  Allison Lewis (Lafayette College), Inferring tumor cell line interaction types using the Lotka-Volterra model with various experimental designs

• 01:50 PM - 02:15 PM
  Subhajyoti De (Rutgers University), Modeling transcriptional heterogeneity in bladder cancer

• 02:15 PM - 02:40 PM
  Katie Storey (Lafayette College), An adaptive information-theoretic experimental design procedure for high-to-low fidelity calibration of prostate cancer models

• 02:40 PM - 03:05 PM
  Jim Greene (Clarkson University), Modeling and control of induced drug resistance in cancer chemotherapy

MS36 / CKB 219
Topic: Motion planning and applied topology

• 01:00 PM - 01:25 PM
  Jie Gao (Rutgers University), Multi-Robot Scheduling and Motion Planning

• 01:25 PM - 01:50 PM
  Pablo Soberón (Baruch College), New variations of fair partitions results

• 01:50 PM - 02:15 PM
  Ewerton Vieira (Rutgers University), Global Dynamics of Robot Controller with Confidence Guarantees using Limited Data.

• 02:15 PM - 02:40 PM
  Claire Liang (MIT), A Robot Navigating Human Spaces with Sparse, Directional Signage

• 02:40 PM - 03:05 PM
  Subhrajit Bhattacharya (Lehigh University), Topological Path Planning and its Applications

MS37 / CKB 222
Topic: Rare Event Estimation and Optimization

• 01:00 PM - 01:25 PM
  Henry Lam (Columbia University), Rare-Event Simulation for Machine Learning Models: Challenges and Remedies

• 01:25 PM - 01:50 PM
  Anirudh Subramanyam (Pennsylvania State University), Optimization under Rare Chance Constraints

• 01:50 PM - 02:15 PM
  Dragos Bozdog (Stevens Institute of Technology), Analysis of Rare Events Using Multidimensional Liquidity Measures

• 02:15 PM - 02:40 PM
  Elsayed Eshra (The Pennsylvania State University), New Insights into Utilization of Importance Sampling Methods for Rare Event Uncertainty Quantification

• 02:40 PM - 03:05 PM
  Shanyin Tong (Columbia University), Large deviation theory-based adaptive importance sampling for rare events in high dimensions

CS07 / CKB 106
Topic: Mathematical Biology: Neuroscience and Ecology

• 01:00 PM - 01:25 PM
  Victor Matveev (New Jersey Institute of Technology), Accuracy of deterministic vs. stochastic modeling of first-passage time to calcium sensor binding

• 01:25 PM - 01:50 PM
  Shima Jalalian (Stevens Institute of Technology), Exploring the multiphysics of the brain during development, aging, and in neurological diseases

• 01:50 PM - 02:15 PM
  Moshe Silverstein (New Jersey Institute of Technology), A Piecewise-Deterministic Markov Process Model for Calcium Signaling

• 02:15 PM - 02:40 PM
  Zachary Miksis (Temple University), A Cross-Species Computational Study of rTMS Protocol Effects on Calcium Dynamics

• 02:40 PM - 03:05 PM
  Sepideh Vafaie (Montclair State University), Persistence and Extinction in Cascade Food Webs

CS08 / CKB 114
Topic: Dynamical Systems

• 01:00 PM - 01:25 PM
  Shaowu Pan (Rensselaer Polytechnic Institute), PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator

• 01:25 PM - 01:50 PM
  Nishanta Baral (Montclair State University), A study of non-inertial and inertial particle dynamics in geophysical flows

• 01:50 PM - 02:15 PM
  Emad Masroor (Swarthmore College), On the Dynamics of Coaxial Arrays of Vortex Rings

• 02:15 PM - 02:40 PM
  Niek Mooij (Utrecht University), Approximating the Maximum Independent Set Problem using Lotka-Volterra dynamics.

• 02:40 PM - 03:05 PM
  Pete Ward (New Jersey Institute of Technology), Using Active Learning Methodologies to Prepare Urban High School Students for Success in College Mathematics 

CS09 / CKB 212
Topic: Fluid Dynamics

• 01:00 PM - 01:25 PM
  Chang Liu (University of Connecticut), Semi-analytical solutions of shallow water waves with idealised bottom topographies

• 01:25 PM - 01:50 PM
  Ryan Allaire (United States Military Academy), Using thermal crowding to control the dewetting of liquid metal nanostructures

• 01:50 PM - 02:15 PM
  Jeungeun Park (SUNY at New Paltz), Modeling of swimming bacteria

• 02:15 PM - 02:40 PM
  Sanket Jantre (Brookhaven National Laboratory), Uncertainty Quantification Study of Sea-Level Contribution from Amery Ice Shelf Basin using Statistical Emulation of a Perturbed Parameter Ice-Sheet Model Ensemble

• 02:40 PM - 03:05 PM
  Binan Gu (Worcester Polytechnic Institute), A general nonlinear model of pore dynamics on species and thermal transport under temporally periodic far-field forcing