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09:00
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17:00 - 18:00 (1h)
Pizza and Networking
Gosnell Hall Atrium
18:00 - 20:00 (2h)
Jobs in Industry and Government Panel
Gosnell A300 Small Auditorium
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8:00 - 8:30 (30min)
Registration and Breakfast Snacks
Gosnell Atrium
8:30 - 8:40 (10min)
Opening Remarks
Gosnell 1250 Big Auditorium
Tony Harkin (RIT) and Roy Goodman (NJIT)
8:40 - 9:35 (55min)
Plenary I: Overcoming order reduction in Runge-Kutta methods via weak stage order: Theory and order barriers
Gosnell 1250 Big Auditorium
David Shirokoff (NJIT)
9:35 - 10:00 (25min)
Coffee break
Gosnell Hall Atrium
PDE
Numerical Analysis Life Sciences Dynamical Systems Data Science Geosciences and Planet Earth Discrete Math and Theoretical Computing Recent Developments in Modern Optimization Scientific Machine Learning and its Applications Computational Fluid Mechanics and Fluid-Structure Interaction Data-Driven Modeling and Analysis of Complex Systems Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics Advances in Efficient and Accurate Kinetic and Fluid Solvers Computational and Theoretical Advances in Physics-informed ML Models and UQ Recent Advances in Theoretical and Computational Inverse Problems Recent Advances in Quantum Computing Machine Learning Theory and Applications 10:00 - 12:05 (2h05)
PDE
Gosnell A300 Small Auditorium
› Nonlinear dispersive waves, solitons, modulation theory and dispersive shocks in two spatial dimensions
- Gino Biondini, State University of New York [Buffalo]
10:00-10:25 (25min)
› Initial Value Problems for the Kadomtsev-Petviashvili Equation with Wedge-Shaped Step-Like Initial Conditions
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10:25-10:50 (25min)
› A Reformulation of the Equation Error Approach for Direct Inversion from Full-Field Interior Data
- Mobina Ghorbaninejad, Rochester Institute of Technology
10:50-11:15 (25min)
› On Galilean Invariance of Mean Kinetic Helicity
- Dina Soltani Tehrani, University of Rochester
11:15-11:40 (25min)
› Determination of time-dependent source function in a parabolic equation
- Sedar Ngoma, State University of New York at Geneseo
11:40-12:05 (25min)
10:00 - 12:05 (2h05)
Numerical Analysis
Gosnell 1250 Big Auditorium
› A consistent numerical approach to quantum graph computations
- Roy Goodman, New Jersey Institute of Technology
10:00-10:25 (25min)
› Fast solvers for shape optimization of slip-driven axisymmetric microswimmers in Stokes flow
- Ruowen Liu, Rider University
10:25-10:50 (25min)
› A fast numerical method for the inverse medium scattering problem
- Thanh Nguyen, Rowan University
10:50-11:15 (25min)
› Construction of Local Reduced Order Models via Random Sampling
- Charles Beall, Stevens Institute of Technology
11:15-11:40 (25min)
› Optimizing adaptive mesh refinement for numerical relativity
- Chloe Malinowski, Rochester Institute of Technology
11:40-12:05 (25min)
10:00 - 12:05 (2h05)
Life Sciences
Gosnell 1154
› Modeling the spread of retinal detachment (RD) and its effects on the dynamics of the rod outer segment (ROS) renewal
- William Annan, Clarkson University
10:00-10:25 (25min)
› Mathematical Modeling of Ocular Tissue Deformation due to Intraocular Pressure
- Riley Supple, Rochester Institute of Technology
10:25-10:50 (25min)
› Configuring the soma-axon connection for temporally precise neural coincidence detection
- Joshua Goldwyn, Swarthmore College
10:50-11:15 (25min)
› Exact Analytical Series Solutions to the SIR Epidemic Model
- Daniel Hobbs, Rochester Institute of Technology
11:15-11:40 (25min)
› Student research in mathematical biology: mechanistic modeling and data science approaches
- James Greene, Clarkson University
11:40-12:05 (25min)
10:00 - 12:05 (2h05)
Dynamical Systems
Gosnell 1174
› Dimension reduction of dynamical systems on graphons
- Bisna Mary Eldo, Department of Mathematics, State University of New York at Buffalo, NY 14260-2900, USA
10:00-10:25 (25min)
› Dimensional reduction for hypergraph dynamical systems
- Sarbendu Rakshit, Department of Mathematics, State University of New York at Buffalo, Buffalo, NY 14260-2900, USA
10:25-10:50 (25min)
› 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]
10:50-11:15 (25min)
› Understanding Inertial and Non-Inertial Particle Dynamics in Geophysical Flows
- Nishanta Baral, Montclair State University [USA]
11:15-11:40 (25min)
› 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
11:40-12:05 (25min)
10:00 - 12:05 (2h05)
Data Science
Gosnell 1300
› Detecting interpretable communities in multilayer correlation networks
- Saiful Islam, Institute for Artificial Intelligence and Data Science, SUNY at Buffalo, Buffalo, NY
10:00-10:25 (25min)
› Topological Tools for Cybersecurity
- Jason LaRuez, Rochester Institute of Technology
10:25-10:50 (25min)
› Efficient Diameter Algorithm for Large Graphs
- Zhihui Du, New Jersey Institute of Technology - David Bader, New Jersey Institute of Technology
10:50-11:15 (25min)
› Experimental Design for Kernel Ridge Regression
- Alex Gittens, Rensselaer Polytechnic Institute
11:15-11:40 (25min)
› Robust First and Second-Order Differentiation for Regularized Optimal Transport
- Felix Ye, University at Albany
11:40-12:05 (25min)
10:00 - 12:05 (2h05)
Geosciences and Planet Earth
Gosnell 1305
› Incorporating Risk Aversion and Uncertainty into Coastal Adaptation Model
- Carolina Estevez Loza, Rochester Institute of Technology
10:00-10:25 (25min)
› Disentangling the Oceanic Circulation
- Hussein Aluie, University of Rochester
10:25-10:50 (25min)
› Assessing the Impact of Contamination on Microbial-Enzyme Dynamics and Soil Function
- Sepideh Vafaie, Montclair State University [USA]
10:50-11:15 (25min)
› Exploring the Mechanisms Driving the North Atlantic Oscillation
- Abdus Samad, University of Rochester
11:15-11:40 (25min)
› Mass Transport By Oceanic Mesoscale Eddies
- Mehrnoush Kharghani, University of Rochester [USA]
11:40-12:05 (25min)
10:00 - 12:05 (2h05)
Discrete Math and Theoretical Computing
Gosnell 2178
10:00 - 12:05 (2h05)
Recent Developments in Modern Optimization
Gosnell 2345
Jiaming Liang
› A novel primal-dual algorithm for decentralized optimization over time-varying graphs
- Xin Jiang, Cornell University
10:00-10:25 (25min)
› On representing (mixed-integer) linear programs by graph neural networks
- Jialin Liu, University of Central Florida [Orlando]
10:25-10:50 (25min)
› Performance Estimation For Smooth and Strongly Convex Sets
- Benjamin Grimmer, Johns Hopkins University
10:50-11:15 (25min)
› Universal subgradient and proximal bundle methods for convex and strongly convex hybrid composite optimization
- Jiaming Liang, University of Rochester [USA]
11:15-11:40 (25min)
› The radius of statistical efficiency
- Mateo Diaz, Johns Hopkins University
11:40-12:05 (25min)
10:00 - 12:05 (2h05)
Scientific Machine Learning and its Applications
Gosnell 2365
Wenrui Hao, Yue Yu
› Accelerating Transition Dynamics Simulation with Recent Advances in Probabilistic Machine Learning
- Yuanqi Du, Cornell University [Ithaca]
10:00-10:25 (25min)
› An energy-stable machine-learning model of non-Newtonian hydrodynamics with molecular fidelity
- Huan Lei, Michigan State University
10:25-10:50 (25min)
› Model-free identification and suppression of unknown disturbances to dynamical systems
- Per Sebastian Skardal, Trinity College Hartford
10:50-11:15 (25min)
› Separable DeepONet: A Scalable Framework for High-Dimensional Physics-Informed Neural Operators
- Somdatta Goswami, Johns Hopkins University
11:15-11:40 (25min)
› 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
11:40-12:05 (25min)
10:00 - 12:05 (2h05)
Computational Fluid Mechanics and Fluid-Structure Interaction
Gosnell 2365
Michael Cromer, Paula Vasquez
› Boundary conditions for dynamic contact angles in the Volume-of-Fluid method
- Shahriar Afkhami, New Jersey Institute of Technology
10:00-10:25 (25min)
› Modeling structure transition in living polymers
- Michael Cromer, Rochester Institute of Technology
10:25-10:50 (25min)
› Flows of networked fluids: Bead-spring dumbbells, Roussian chains, formed chains, and anisotropy
- Lin Zhou, Department of Mathematics, New York City College of Technology [CUNY]
10:50-11:15 (25min)
› Macro-micro simulations in complex fluids using GPU Computing
- Paula A Vasquez, University of South Carolina [Columbia]
11:15-11:40 (25min)
10:00 - 12:05 (2h05)
Data-Driven Modeling and Analysis of Complex Systems
Nishant Malik
› Monsoon Prediction by Integrating Network Analysis with Machine Learning
- Nishant Malik, Rochester Institute of Technology
10:00-10:25 (25min)
› Tree-based Learning for High-Fidelity Prediction of Chaos
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10:25-10:50 (25min)
› Analysis of a Coevolving Networks-based Opioid Epidemic Model
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10:50-11:15 (25min)
› Detecting Chaos in Fire
- Jenna McDanold, Los Alamos National Laboratory, Rochester Institute of Technology
11:15-11:40 (25min)
› Severing as a Size Control Mechanism for Cytoskeleton Filaments and Bundles
- Md Sorique Aziz Momin, Postdoctoral Associate, School of Physics and Astronomy, Rochester Institute of Technology
11:40-12:05 (25min)
10:00 - 12:05 (2h05)
Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics
› Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partial Differential Equations
- Yahong Yang, The Penn State University
10:00-10:25 (25min)
› Analysis and computation of a generalized Ohta-Kawasaki model
- Yanxiang Zhao, George Washington University
10:25-10:50 (25min)
› Element learning: accelerating finite element-type methods via operator learning with cost-effective training
- Shukai Du, Syracuse University
10:50-11:15 (25min)
› Penalty Adversarial Network: A neural network-based method to solve PDE-constrained optimal control problems
- Yukun Yue, University of Wisconsin-Madison
11:15-11:40 (25min)
› Finite Expression Method: A Symbolic Approach for Scientific Machine Learning
- Haizhao Yang, University of Maryland, College Park
11:40-12:05 (25min)
10:00 - 12:05 (2h05)
Advances in Efficient and Accurate Kinetic and Fluid Solvers
Fengyan Li, Joseph Nakao
› Adjoint Monte Carlo Method for Kinetic Constrained Optimization Problems
- Yunan Yang, Cornell University
10:00-10:25 (25min)
› A micro-macro decomposed reduced basis method for time-dependent radiative transfer equation
- Fengyan Li, Rensselaer Polytechnic Institute
10:25-10:50 (25min)
› Adaptive-Rank Implicit Time Integrator for Advection-Diffusion Transport Equations with Inhomogeneous Coefficients
- Hamad El Kahza, University of Delaware
10:50-11:15 (25min)
› Low-rank implicit integrators based on reduced augmentation for solving 3D advection-diffusion equations
- Joseph Nakao, Swarthmore College
11:15-11:40 (25min)
› High-order accurate simulations for relativistic Vlasov systems
- Jeff Banks, Rensselaer Polytechnic Institute
11:40-12:05 (25min)
10:00 - 12:05 (2h05)
Computational and Theoretical Advances in Physics-informed ML Models and UQ
Yue Yu, Akwum Onwunta, Jihong Wang
10:00 - 12:05 (2h05)
Recent Advances in Theoretical and Computational Inverse Problems
10:00 - 12:05 (2h05)
Recent Advances in Quantum Computing
Mohammadhossein Mohammadisiahroudi, Zeguan Wu
10:00 - 12:05 (2h05)
Machine Learning Theory and Applications
Yunlong Feng, Yanfang Liu
12:05 - 13:30 (1h25)
Box Lunch
Gosnell Hall Atrium
12:05 - 13:30 (1h25)
Poster Session
Gosnell Hall Atrium
13:30 - 14:25 (55min)
Plenary II MetaMath: A Quantitative Justice Project to Enhance EDI in the Mathematical Sciences
Gosnell 1250 Big Auditorium
Ron Buckmire (Marist)
Dynamical Systems
Data-Driven Modeling and Analysis of Complex Systems Life Sciences Computational Fluid Mechanics and Fluid-Structure Interaction Numerical Analysis Recent Advances in Graphs, Groups, and their Applications Scientific Machine Learning and its Applications Optimization Multiscale Flows Data Science Advances in Efficient and Accurate Kinetic and Fluid Solvers Mathematical Modeling of Drug Delivery Applied Math Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics Computational and Theoretical Advances in Physics-informed ML Models and UQ Recent Advances in Theoretical and Computational Inverse Problems Optimization Methods and Applications 14:30 - 16:35 (2h05)
Dynamical Systems
Gosnell 1174
› Data assimilation for astrophysical systems
- Eve Armstrong, New York Institute of Technology; American Museum of Natural History
14:30-14:55 (25min)
› Disorder in foams and other 2-d microstructures
- Joe Klobusicky, University of Scranton
14:55-15:20 (25min)
› Learning Noise-Robust Stable Koopman Operator for Control with Physics-Informed Observables
- Shahriar Akbar Sakib, Rensselaer Polytechnic Institute
15:20-15:45 (25min)
› Evaluating Equity in Dynamical Systems Models
- Nicole Zalewski, Temple University
15:45-16:10 (25min)
› Global dynamics in applied delay differential models
- Anatoli Ivanov, Pennsylvania State University
16:10-16:35 (25min)
14:30 - 16:35 (2h05)
Data-Driven Modeling and Analysis of Complex Systems
› Landslide geometry and topology for elucidating triggers and movement
- Kamal Rana, Rochester Institute of Technology
14:30-14:55 (25min)
› Unraveling Social Dynamics: Exploring Structural Balance in Temporal Signed Networks Among Taiwanese High School Students
- Hsuan-Wei Lee, Department of Community and Population Health, Lehigh University
14:55-15:20 (25min)
› Rigged DMD: Data-driven generalized eigenfunction decompositions for Koopman operators
- Andrew Horning, Rensselaer Polytechnic Institute
15:20-15:45 (25min)
› Network-Driven QBO Analysis
- Daniel Oleynikov, Rochester Institute of Technology
15:45-16:10 (25min)
› Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel
- Xiong Wang, Johns Hopkins University
16:10-16:35 (25min)
14:30 - 16:35 (2h05)
Life Sciences
› 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
14:30-14:55 (25min)
› Predicting particle deposition in an adult human lung using an oscillatory, lumped respiratory model
- Jordana O'Brien, Rochester Institute of Technology
14:55-15:20 (25min)
› Synergy of Triple Combination Therapy for Biofilm Eradication
- Vedat Kurtay, Rochester Institute of Technology - Blessing O. Emerenini, Rochester Institute of Technology
15:20-15:45 (25min)
› Modeling the Spread of Spotted Lanternfly in Vineyards and Across Multiple Scales
- Woods Jacob, Temple University [Philadelphia]
15:45-16:10 (25min)
› Quantitative Preventative Approaches to Diabetes: Mathematical Modeling and Analysis
- Rushi Bhatt, Montclair State University [USA]
16:10-16:35 (25min)
14:30 - 16:35 (2h05)
Computational Fluid Mechanics and Fluid-Structure Interaction
› Coupled Mechanics of Semiflexible Filaments on Fluid Membranes
- Sanjay Dharmavaram, Bucknell University
14:30-14:55 (25min)
› Emergent flow asymmetries from the metachronal paddling of gossamer worm parapodia
- Alexander Hoover, Cleveland State University
14:55-15:20 (25min)
› Fluid-Level Performance of Multi-Agent Systems
- Benjamin Seibold, Temple University [Philadelphia]
15:20-15:45 (25min)
› Hydrodynamics of a vesicle enclosing an active particle suspension
- Yuan-Nan Young, New Jersey Instittue of Technology
15:45-16:10 (25min)
› The influence of geometry on squirming in a heterogeneous medium
- Herve Nganguia, Towson University
16:10-16:35 (25min)
14:30 - 16:35 (2h05)
Numerical Analysis
› A New Fick-Jacobs Derivation with Applications to Computational Diffusion Networks
- Zachary Miksis, Temple University [Philadelphia]
14:30-14:55 (25min)
› Simple, Convergent Sketched Tucker Decompositions
- Alex Gittens, Rensselaer Polytechnic Institute
14:55-15:20 (25min)
› Polynomial Interpolation on the Square and Cube
- Richard Greene, New Jersey Institute of Technology [Newark]
15:20-15:45 (25min)
› A Quadratic Penalty and Moreau Envelope Descent Algorithm for Constrained Global Minimization
- Stephanie Wang, University of Rochester [USA]
15:45-16:10 (25min)
› Randomized Multiscale Methods for Heterogeneous Nonlinear Partial Differential Equations
- Kathrin Smetana, Stevens Institute of Technology [Hoboken]
16:10-16:35 (25min)
14:30 - 16:35 (2h05)
Recent Advances in Graphs, Groups, and their Applications
Carmine Monetta, Mark Lewis
› Gruenberg-Kegel graphs of finite groups
- Thomas Michael Keller, Texas State University
14:30-14:55 (25min)
› Maximal noncommuting sets and its application in infinite groups
- Mohammad Zarrin, Texas State University
14:55-15:20 (25min)
› On vanishing class sizes in finite groups: recent results
- Mariagrazia Bianchi, Università degli Studi di Milano = University of Milan
15:20-15:45 (25min)
› Characterizing finite groups whose enhanced power graphs have universal vertices
- Mark Lewis, Kent State University
15:45-16:10 (25min)
› Graph isomorphisms and group invariants
- Carmine Monetta, Università degli Studi di Salerno = University of Salerno
16:10-16:35 (25min)
14:30 - 16:35 (2h05)
Scientific Machine Learning and its Applications
Wenrui Hao, Yue Yu
› Reconstruction of cerebral spinal fluid flow in the brain using scientific machine learning
- Mohammad Vaezi, University of Rochester
14:30-14:55 (25min)
› Physics-informed neural networks for forward and inverse problems of Biot's model
- Mingchao Cai, Morgan State University
14:55-15:20 (25min)
› Generative Downscaling of PDE Solvers With Physics-Guided Diffusion Models
- Wuzhe Xu, University of Massachusetts Amherst
15:20-15:45 (25min)
› Self-adaptive weighting and sampling for physics-informed neural networks and deep operator networks
- Wenqian Chen, Pacific Northwest National Laboratory
15:45-16:10 (25min)
› Nonlocal Attention Operator: Towards an Interpretable Foundation Model
- Yue Yu, Lehigh University
16:10-16:35 (25min)
14:30 - 16:35 (2h05)
Optimization
› On the Heterogenous k-Disjoint Biclique Problem
- Abiodun Sumonu, The University of Alabama - Brendan Ames, University of Southampton
14:30-14:55 (25min)
› Mathematical Optimization of Supply Chain Networks and Warehouse Design for Enhanced Efficiency in DHL Operations
- Yiyi Cao, SUNY Binghamton University
14:55-15:20 (25min)
› Quantum Approximate Optimization in the Early Fault-Tolerant Era
- Zichang He, JPMorganChase
15:20-15:45 (25min)
› Effective support, Dirac combs, and signal recovery
- Kelvin Nguyen, University of Rochester
15:45-16:10 (25min)
› Computing Proximity Operators for Scale and Signed Permutation Invariant Functions
- Jianqing Jia, Syracuse University
16:10-16:35 (25min)
14:30 - 16:35 (2h05)
Multiscale Flows
› Scale Decomposition and Kinetic Energy Cascade in the Troposphere and Stratosphere
- Pejman Hadi Sichani, University of Rochester
14:30-14:55 (25min)
› Global Ocean Cascades and a Direct Gyrescale-Mesoscale Energy Pathway Induced by the Atmosphere
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14:55-15:20 (25min)
› Intermit dynamics of emulsions in porous media
- Shima Parsa, Rochester Institute of Technology
15:20-15:45 (25min)
› Tip-splitting or fast fingers: pattern formation in miscible displacement
- Will Braun, Rochester Institute of Technology
15:45-16:10 (25min)
› Role of Earth's magnetic field on the deposition of terrestrial volatile species in lunar nearside regolith
- Shubhonkar Paramanick, University of Rochester
16:10-16:35 (25min)
14:30 - 16:35 (2h05)
Data Science
14:30 - 16:35 (2h05)
Advances in Efficient and Accurate Kinetic and Fluid Solvers
› Semi-Lagrangian Adaptive-Rank (SLAR) Methods for Linear Advection Equations and the Nonlinear Vlasov-Poisson System
- Nanyi Zheng, Department of Mathematical Sciences
14:30-14:55 (25min)
› The Runge–Kutta discontinuous Galerkin method with stage-dependent polynomial spaces for hyperbolic conservation laws
- Zheng Sun, The University of Alabama
14:55-15:20 (25min)
› A hybrid Monte Carlo, discontinuous Galerkin method for linear kinetic transport equations
- Krotz Johannes, Notre Dame
15:20-15:45 (25min)
› Reduced-Order Modeling of Neutron Transport by Proper Generalized Decomposition
- Kurt Dominesey, Naval Nuclear Laboratory
15:45-16:10 (25min)
› Gauge conserving particle methods that naturally satisfy the involutions of Maxwell's equations
- Stephen White, Michigan State University [East Lansing]
16:10-16:35 (25min)
14:30 - 16:35 (2h05)
Mathematical Modeling of Drug Delivery
Kara Maki, Lucia Carichino, Narshini Gunputh
› A mathematical model of drug delivery via a contact lens during wear
- Rayanne Luke, George Mason University [Fairfax]
14:30-14:55 (25min)
› Quantitative model of the ocular immune response to seasonal allergic conjunctivitis
- Narshini Gunputh, Rochester Institute of Technology
14:55-15:20 (25min)
› No model is an island: QSP with support from PBPK
- Christina Battista, Simulations Plus
15:20-15:45 (25min)
› Mathematical Model of Gene Therapy Treatment for Neovascular Age-related Macular Degeneration
- Lucia Carichino, Rochester Institute of Technology
15:45-16:10 (25min)
› Development of PBPK Model to Characterize Ocular Disposition of Protein Therapeutics
- Dhaval Shah, University at Buffalo
16:10-16:35 (25min)
14:30 - 16:35 (2h05)
Applied Math
› Mathematical Modeling of Sieving and Adsorptive Fouling in Membrane Pore Networks
- Binan Gu, Worcester Polytechnic Institute
14:30-14:55 (25min)
› Surface Variability Mapping and Roughness Analysis of the Moon Using a Coarse-Graining Decomposition
- Siyu Xue, University of Rochester
14:55-15:20 (25min)
› Analytical Solution for Heat Transfer across the Boundary Layer Induced
- William Reinberger, Rochester Institute of Technology
15:20-15:45 (25min)
› Exact Analytical Solution for the Boundary Layer Flow Induced by a Moving Surface
- Nathaniel Barlow, Rochester Institute of Technology
15:45-16:10 (25min)
› Interfacial instability of a two-layer viscoelastic flow
- Nastaran Rezaei, NJIT
16:10-16:35 (25min)
14:30 - 16:35 (2h05)
Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics
› A Pressure-Robust Hybridized Discontinuous Galerkin Method for the Cahn-Hilliard-Navier-Stokes System
- Keegan Kirk, George Mason University [Fairfax]
14:30-14:55 (25min)
› Adaptive Sampling and Transfer Learning Applied to the Deep Galerkin Method for Solving PDEs
- Andreas Aristotelous, University of Akron
14:55-15:20 (25min)
› Solving the Fokker-Planck Equation with Tensor Neural Networks: Addressing High-Dimensional and Multi-Scale Challenges
- Wang Taorui, Worcester Polytechnic Institute
15:20-15:45 (25min)
› Spectral element method for 3D spherical dynamo equations.
- Lina Ma, Trinity College
15:45-16:10 (25min)
› Structure-preserving reduced order models for thermodynamically consistent reversible-irreversible PDEs
- Zengyan Zhang, The Pennsylvania State University
16:10-16:35 (25min)
14:30 - 16:35 (2h05)
Computational and Theoretical Advances in Physics-informed ML Models and UQ
Yue Yu, Akwum Onwunta, Jihong Wang
14:30 - 16:35 (2h05)
Recent Advances in Theoretical and Computational Inverse Problems
14:30 - 16:35 (2h05)
Optimization Methods and Applications
Mohammadhossein Mohammadisiahroudi, Zeguan Wu
16:35 - 17:00 (25min)
Coffee break
Gosnell Hall Atrium
17:00 - 17:55 (55min)
Plenary III: Applied Mathematics Problems in Cancer Immunotherapy Drug Development
Gosnell 1250 Big Auditorium
Carolyn Cho (Eikon Therapeutics)
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