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