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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: Overcoming order reduction in Runge-Kutta methods via weak stage order: Theory and order barriers (Gosnell 1250 Big Auditorium) - David Shirokoff (NJIT) |
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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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PDE (Gosnell A300 Small Auditorium) |
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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 |
› 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 |
› On Galilean Invariance of Mean Kinetic Helicity - Dina Soltani Tehrani, University of Rochester |
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11:40 - 12:05 |
› Determination of time-dependent source function in a parabolic equation - Sedar Ngoma, State University of New York at Geneseo |
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10:00 - 12:05
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Numerical Analysis (Gosnell 1250 Big Auditorium) |
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10:00 - 10:25 |
› A consistent numerical approach to quantum graph computations - Roy Goodman, New Jersey Institute of Technology |
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10:25 - 10:50 |
› Fast solvers for shape optimization of slip-driven axisymmetric microswimmers in Stokes flow - Ruowen Liu, Rider University |
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10:50 - 11:15 |
› A fast numerical method for the inverse medium scattering problem - Thanh Nguyen, Rowan University |
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11:15 - 11:40 |
› Construction of Local Reduced Order Models via Random Sampling - Charles Beall, Stevens Institute of Technology |
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11:40 - 12:05 |
› Optimizing adaptive mesh refinement for numerical relativity - Chloe Malinowski, Rochester Institute of Technology |
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10:00 - 12:05
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Life Sciences (Gosnell 1154) |
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10:00 - 10:25 |
› 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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10:25 - 10:50 |
› Mathematical Modeling of Ocular Tissue Deformation due to Intraocular Pressure - Riley Supple, Rochester Institute of Technology |
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10:50 - 11:15 |
› Configuring the soma-axon connection for temporally precise neural coincidence detection - Joshua Goldwyn, Swarthmore College |
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11:15 - 11:40 |
› Exact Analytical Series Solutions to the SIR Epidemic Model - Daniel Hobbs, Rochester Institute of Technology |
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11:40 - 12:05 |
› Student research in mathematical biology: mechanistic modeling and data science approaches - James Greene, Clarkson University |
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10:00 - 12:05
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Dynamical Systems (Gosnell 1174) |
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10:00 - 10:25 |
› Dimension reduction of dynamical systems on graphons - Bisna Mary Eldo, Department of Mathematics, State University of New York at Buffalo, NY 14260-2900, USA |
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10:25 - 10:50 |
› Dimensional reduction for hypergraph dynamical systems - Sarbendu Rakshit, Department of Mathematics, State University of New York at Buffalo, Buffalo, NY 14260-2900, USA |
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10:50 - 11:15 |
› 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] |
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11:15 - 11:40 |
› Understanding Inertial and Non-Inertial Particle Dynamics in Geophysical Flows - Nishanta Baral, Montclair State University [USA] |
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11:40 - 12:05 |
› Using off-diagonal entries of the covariance matrix to determine an optimized node set for early warning signals - Shilong Yu, Department of Mathematics, State University of New York at Buffalo |
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10:00 - 12:05
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Data Science (Gosnell 1300) |
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10:00 - 10:25 |
› 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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10:25 - 10:50 |
› Topological Tools for Cybersecurity - Jason LaRuez, Rochester Institute of Technology |
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10:50 - 11:15 |
› Efficient Diameter Algorithm for Large Graphs - Zhihui Du, New Jersey Institute of Technology - David Bader, New Jersey Institute of Technology |
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11:15 - 11:40 |
› Experimental Design for Kernel Ridge Regression - Alex Gittens, Rensselaer Polytechnic Institute |
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11:40 - 12:05 |
› Robust First and Second-Order Differentiation for Regularized Optimal Transport - Felix Ye, University at Albany |
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10:00 - 12:05
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Geosciences and Planet Earth (Gosnell 1305) |
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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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Discrete Math and Theoretical Computing (Gosnell 2178 ) |
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10:00 - 12:05
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Recent Developments in Modern Optimization (Gosnell 2345) - Jiaming Liang |
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10:00 - 10:25 |
› A novel primal-dual algorithm for decentralized optimization over time-varying graphs - Xin Jiang, Cornell University |
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10:25 - 10:50 |
› On representing (mixed-integer) linear programs by graph neural networks - Jialin Liu, University of Central Florida [Orlando] |
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10:50 - 11:15 |
› Performance Estimation For Smooth and Strongly Convex Sets - Benjamin Grimmer, Johns Hopkins University |
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11:15 - 11:40 |
› Universal subgradient and proximal bundle methods for convex and strongly convex hybrid composite optimization - Jiaming Liang, University of Rochester [USA] |
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11:40 - 12:05 |
› The radius of statistical efficiency - Mateo Diaz, Johns Hopkins University |
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10:00 - 12:05
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Scientific Machine Learning and its Applications (Gosnell 2365) - Wenrui Hao, Yue Yu |
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10:00 - 10:25 |
› Accelerating Transition Dynamics Simulation with Recent Advances in Probabilistic Machine Learning - Yuanqi Du, Cornell University [Ithaca] |
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10:25 - 10:50 |
› An energy-stable machine-learning model of non-Newtonian hydrodynamics with molecular fidelity - Huan Lei, Michigan State University |
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10:50 - 11:15 |
› Model-free identification and suppression of unknown disturbances to dynamical systems - Per Sebastian Skardal, Trinity College Hartford |
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11:15 - 11:40 |
› Separable DeepONet: A Scalable Framework for High-Dimensional Physics-Informed Neural Operators - Somdatta Goswami, Johns Hopkins University |
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11:40 - 12:05 |
› Exploiting Low-Dimensional Data Structures and Predicting Scaling Laws for Transformer Neural Networks - Wenjing Liao, Georgia Institute of Technology - Alex Havrilla, Georgia Institute of Technology |
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10:00 - 12:05
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Computational Fluid Mechanics and Fluid-Structure Interaction (Gosnell 2365) - Michael Cromer, Paula Vasquez |
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10:00 - 10:25 |
› Boundary conditions for dynamic contact angles in the Volume-of-Fluid method - Shahriar Afkhami, New Jersey Institute of Technology |
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10:25 - 10:50 |
› Modeling structure transition in living polymers - Michael Cromer, Rochester Institute of Technology |
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10:50 - 11:15 |
› 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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11:15 - 11:40 |
› 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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Data-Driven Modeling and Analysis of Complex Systems - Nishant Malik |
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10:00 - 10:25 |
› Monsoon Prediction by Integrating Network Analysis with Machine Learning - Nishant Malik, Rochester Institute of Technology |
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10:25 - 10:50 |
› Tree-based Learning for High-Fidelity Prediction of Chaos |
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10:50 - 11:15 |
› Analysis of a Coevolving Networks-based Opioid Epidemic Model |
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11:15 - 11:40 |
› Detecting Chaos in Fire - Jenna McDanold, Los Alamos National Laboratory, Rochester Institute of Technology |
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11:40 - 12:05 |
› 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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10:00 - 12:05
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Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics |
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10:00 - 10:25 |
› Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partial Differential Equations - Yahong Yang, The Penn State University |
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10:25 - 10:50 |
› Analysis and computation of a generalized Ohta-Kawasaki model - Yanxiang Zhao, George Washington University |
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10:50 - 11:15 |
› Element learning: accelerating finite element-type methods via operator learning with cost-effective training - Shukai Du, Syracuse University |
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11:15 - 11:40 |
› 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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11:40 - 12:05 |
› Finite Expression Method: A Symbolic Approach for Scientific Machine Learning - Haizhao Yang, University of Maryland, College Park |
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10:00 - 12:05
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Advances in Efficient and Accurate Kinetic and Fluid Solvers - 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 |
› A micro-macro decomposed reduced basis method for time-dependent radiative transfer equation - Fengyan Li, Rensselaer Polytechnic Institute |
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10:50 - 11:15 |
› Adaptive-Rank Implicit Time Integrator for Advection-Diffusion Transport Equations with Inhomogeneous Coefficients - Hamad El Kahza, University of Delaware |
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11:15 - 11:40 |
› Low-rank implicit integrators based on reduced augmentation for solving 3D advection-diffusion equations - Joseph Nakao, Swarthmore College |
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11:40 - 12:05 |
› High-order accurate simulations for relativistic Vlasov systems - Jeff Banks, Rensselaer Polytechnic Institute |
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10:00 - 12:05
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Computational and Theoretical Advances in Physics-informed ML Models and UQ - Yue Yu, Akwum Onwunta, Jihong Wang |
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10:00 - 12:05
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Recent Advances in Theoretical and Computational Inverse Problems |
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10:00 - 12:05
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Recent Advances in Quantum Computing - Mohammadhossein Mohammadisiahroudi, Zeguan Wu |
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10:00 - 12:05
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Machine Learning Theory and Applications - Yunlong Feng, Yanfang Liu |
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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 MetaMath: A Quantitative Justice Project to Enhance EDI in the Mathematical Sciences (Gosnell 1250 Big Auditorium) - Ron Buckmire (Marist) |
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14:30 - 16:35
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Dynamical Systems (Gosnell 1174) |
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14:30 - 14:55 |
› Data assimilation for astrophysical systems - Eve Armstrong, New York Institute of Technology; American Museum of Natural History |
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14:55 - 15:20 |
› Disorder in foams and other 2-d microstructures - Joe Klobusicky, University of Scranton |
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15:20 - 15:45 |
› Learning Noise-Robust Stable Koopman Operator for Control with Physics-Informed Observables - Shahriar Akbar Sakib, Rensselaer Polytechnic Institute |
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15:45 - 16:10 |
› Evaluating Equity in Dynamical Systems Models - Nicole Zalewski, Temple University |
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14:30 - 16:35
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Data-Driven Modeling and Analysis of Complex Systems |
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14:30 - 14:55 |
› Landslide geometry and topology for elucidating triggers and movement - Kamal Rana, Rochester Institute of Technology |
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14:55 - 15:20 |
› 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 |
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15:20 - 15:45 |
› Rigged DMD: Data-driven generalized eigenfunction decompositions for Koopman operators - Andrew Horning, Rensselaer Polytechnic Institute |
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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 |
› Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel - Xiong Wang, Johns Hopkins University |
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14:30 - 16:35
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Life Sciences |
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14:30 - 14:55 |
› 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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14:55 - 15:20 |
› Predicting particle deposition in an adult human lung using an oscillatory, lumped respiratory model - Jordana O'Brien, Rochester Institute of Technology |
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15:20 - 15:45 |
› Synergy of Triple Combination Therapy for Biofilm Eradication - Vedat Kurtay, Rochester Institute of Technology - Blessing O. Emerenini, Rochester Institute of Technology |
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15:45 - 16:10 |
› Modeling the Spread of Spotted Lanternfly in Vineyards and Across Multiple Scales - Woods Jacob, Temple University [Philadelphia] |
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16:10 - 16:35 |
› Quantitative Preventative Approaches to Diabetes: Mathematical Modeling and Analysis - Rushi Bhatt, Montclair State University [USA] |
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14:30 - 16:35
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Computational Fluid Mechanics and Fluid-Structure Interaction |
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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 |
› Emergent flow asymmetries from the metachronal paddling of gossamer worm parapodia - Alexander Hoover, Cleveland State University |
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15:20 - 15:45 |
› Fluid-Level Performance of Multi-Agent Systems - Benjamin Seibold, Temple University [Philadelphia] |
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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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16:10 - 16:35 |
› The influence of geometry on squirming in a heterogeneous medium - Herve Nganguia, Towson University |
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14:30 - 16:35
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Numerical Analysis |
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14:30 - 14:55 |
› A New Fick-Jacobs Derivation with Applications to Computational Diffusion Networks - Zachary Miksis, Temple University [Philadelphia] |
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14:55 - 15:20 |
› Simple, Convergent Sketched Tucker Decompositions - Alex Gittens, Rensselaer Polytechnic Institute |
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15:20 - 15:45 |
› Polynomial Interpolation on the Square and Cube - Richard Greene, New Jersey Institute of Technology [Newark] |
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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 |
› Randomized Multiscale Methods for Heterogeneous Nonlinear Partial Differential Equations - Kathrin Smetana, Stevens Institute of Technology [Hoboken] |
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14:30 - 16:35
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Recent Advances in Graphs, Groups, and their Applications - Carmine Monetta, Mark Lewis |
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14:30 - 14:55 |
› Gruenberg-Kegel graphs of finite groups - Thomas Michael Keller, Texas State University |
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14:55 - 15:20 |
› Maximal noncommuting sets and its application in infinite groups - Mohammad Zarrin, Texas State University |
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15:20 - 15:45 |
› On vanishing class sizes in finite groups: recent results - Mariagrazia Bianchi, Università degli Studi di Milano = University of Milan |
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15:45 - 16:10 |
› Characterizing finite groups whose enhanced power graphs have universal vertices - Mark Lewis, Kent State University |
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16:10 - 16:35 |
› Graph isomorphisms and group invariants - Carmine Monetta, Università degli Studi di Salerno = University of Salerno |
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14:30 - 16:35
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Scientific Machine Learning and its Applications - Wenrui Hao, Yue Yu |
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14:30 - 14:55 |
› Reconstruction of cerebral spinal fluid flow in the brain using scientific machine learning - Mohammad Vaezi, University of Rochester |
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14:55 - 15:20 |
› Physics-informed neural networks for forward and inverse problems of Biot's model - Mingchao Cai, Morgan State University |
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15:20 - 15:45 |
› Generative Downscaling of PDE Solvers With Physics-Guided Diffusion Models - Wuzhe Xu, University of Massachusetts Amherst |
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15:45 - 16:10 |
› Self-adaptive weighting and sampling for physics-informed neural networks and deep operator networks - Wenqian Chen, Pacific Northwest National Laboratory |
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16:10 - 16:35 |
› Nonlocal Attention Operator: Towards an Interpretable Foundation Model - Yue Yu, Lehigh University |
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14:30 - 16:35
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Optimization |
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14:30 - 14:55 |
› On the Heterogenous k-Disjoint Biclique Problem - Abiodun Sumonu, The University of Alabama - Brendan Ames, University of Southampton |
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14:55 - 15:20 |
› Mathematical Optimization of Supply Chain Networks and Warehouse Design for Enhanced Efficiency in DHL Operations - Yiyi Cao, SUNY Binghamton University |
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15:20 - 15:45 |
› Quantum Approximate Optimization in the Early Fault-Tolerant Era - Zichang He, JPMorganChase |
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15:45 - 16:10 |
› Effective support, Dirac combs, and signal recovery - Kelvin Nguyen, University of Rochester |
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16:10 - 16:35 |
› Computing Proximity Operators for Scale and Signed Permutation Invariant Functions - Jianqing Jia, Syracuse University |
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14:30 - 16:35
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Multiscale Flows |
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14:30 - 14:55 |
› Scale Decomposition and Kinetic Energy Cascade in the Troposphere and Stratosphere - Pejman Hadi Sichani, University of Rochester |
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14:55 - 15:20 |
› Global Ocean Cascades and a Direct Gyrescale-Mesoscale Energy Pathway Induced by the Atmosphere |
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15:20 - 15:45 |
› Intermit dynamics of emulsions in porous media - Shima Parsa, Rochester Institute of Technology |
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15:45 - 16:10 |
› Tip-splitting or fast fingers: pattern formation in miscible displacement - Will Braun, Rochester Institute of Technology |
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16:10 - 16:35 |
› Role of Earth's magnetic field on the deposition of terrestrial volatile species in lunar nearside regolith - Shubhonkar Paramanick, University of Rochester |
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14:30 - 16:35
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Data Science |
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14:30 - 16:35
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Advances in Efficient and Accurate Kinetic and Fluid Solvers |
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14:30 - 14:55 |
› Semi-Lagrangian Adaptive-Rank (SLAR) Methods for Linear Advection Equations and the Nonlinear Vlasov-Poisson System - Nanyi Zheng, Department of Mathematical Sciences |
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14:55 - 15:20 |
› The Runge–Kutta discontinuous Galerkin method with stage-dependent polynomial spaces for hyperbolic conservation laws - Zheng Sun, The University of Alabama |
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15:20 - 15:45 |
› A hybrid Monte Carlo, discontinuous Galerkin method for linear kinetic transport equations - Krotz Johannes, Notre Dame |
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15:45 - 16:10 |
› Reduced-Order Modeling of Neutron Transport by Proper Generalized Decomposition - Kurt Dominesey, Naval Nuclear Laboratory |
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16:10 - 16:35 |
› Gauge conserving particle methods that naturally satisfy the involutions of Maxwell's equations - Stephen White, Michigan State University [East Lansing] |
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14:30 - 16:35
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Mathematical Modeling of Drug Delivery - Kara Maki, Lucia Carichino, Narshini Gunputh |
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14:30 - 14:55 |
› A mathematical model of drug delivery via a contact lens during wear - Rayanne Luke, George Mason University [Fairfax] |
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14:55 - 15:20 |
› Quantitative model of the ocular immune response to seasonal allergic conjunctivitis - Narshini Gunputh, Rochester Institute of Technology |
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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 |
› Mathematical Model of Gene Therapy Treatment for Neovascular Age-related Macular Degeneration - Lucia Carichino, Rochester Institute of Technology |
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16:10 - 16:35 |
› Development of PBPK Model to Characterize Ocular Disposition of Protein Therapeutics - Dhaval Shah, University at Buffalo |
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14:30 - 16:35
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Applied Math |
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14:30 - 14:55 |
› Mathematical Modeling of Sieving and Adsorptive Fouling in Membrane Pore Networks - Binan Gu, Worcester Polytechnic Institute |
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14:55 - 15:20 |
› Surface Variability Mapping and Roughness Analysis of the Moon Using a Coarse-Graining Decomposition - Siyu Xue, University of Rochester |
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15:20 - 15:45 |
› Analytical Solution for Heat Transfer across the Boundary Layer Induced - William Reinberger, Rochester Institute of Technology |
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15:45 - 16:10 |
› Exact Analytical Solution for the Boundary Layer Flow Induced by a Moving Surface - Nathaniel Barlow, Rochester Institute of Technology |
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16:10 - 16:35 |
› Interfacial instability of a two-layer viscoelastic flow - Nastaran Rezaei, NJIT |
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|
14:30 - 16:35
|
Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics |
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14:30 - 14:55 |
› A Pressure-Robust Hybridized Discontinuous Galerkin Method for the Cahn-Hilliard-Navier-Stokes System - Keegan Kirk, George Mason University [Fairfax] |
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14:55 - 15:20 |
› Adaptive Sampling and Transfer Learning Applied to the Deep Galerkin Method for Solving PDEs - Andreas Aristotelous, University of Akron |
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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 |
› Spectral element method for 3D spherical dynamo equations. - Lina Ma, Trinity College |
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16:10 - 16:35 |
› Structure-preserving reduced order models for thermodynamically consistent reversible-irreversible PDEs - Zengyan Zhang, The Pennsylvania State University |
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|
14:30 - 16:35
|
Computational and Theoretical Advances in Physics-informed ML Models and UQ - Yue Yu, Akwum Onwunta, Jihong Wang |
|
|
14:30 - 16:35
|
Recent Advances in Theoretical and Computational Inverse Problems |
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14:30 - 16:35
|
Optimization Methods and Applications - Mohammadhossein Mohammadisiahroudi, Zeguan Wu |
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16:35 - 17:00
|
Coffee break (Gosnell Hall Atrium) |
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17:00 - 17:55
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Plenary III: Applied Mathematics Problems in Cancer Immunotherapy Drug Development (Gosnell 1250 Big Auditorium) - Carolyn Cho (Eikon Therapeutics) |
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