‹ Saturday, November 2, 2024 › | |
08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
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›8:00 (30min)
8:00 - 8:30 (30min)
Registration and Breakfast Snacks
Gosnell Atrium
›8:30 (10min)
› Gosnell 1250 Big Auditorium
8:30 - 8:40 (10min)
Opening Remarks
Gosnell 1250 Big Auditorium
Tony Harkin (RIT) and Roy Goodman (NJIT)
›8:40 (55min)
Plenary I: Overcoming order reduction in Runge-Kutta methods via weak stage order: Theory and order barriers
David Shirokoff (NJIT) › Gosnell 1250 Big Auditorium
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
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
-
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 (2h05)
› Gosnell 2365
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 (2h05)
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
-
10:25-10:50 (25min)
› Analysis of a Coevolving Networks-based Opioid Epidemic Model
-
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 (2h05)
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 (2h05)
Computational and Theoretical Advances in Physics-informed ML Models and UQ
Yue Yu, Akwum Onwunta, Jihong Wang 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 (2h05)
10:00 - 12:05 (2h05)
Recent Advances in Quantum Computing
Mohammadhossein Mohammadisiahroudi, Zeguan Wu
›10:00 (2h05)
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 (55min)
Plenary II MetaMath: A Quantitative Justice Project to Enhance EDI in the Mathematical Sciences
Ron Buckmire (Marist) › Gosnell 1250 Big Auditorium
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)
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 (2h05)
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 (2h05)
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 (2h05)
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 (2h05)
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 (2h05)
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 (2h05)
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 (2h05)
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
-
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 (2h05)
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 (2h05)
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 (2h05)
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 (2h05)
Computational and Theoretical Advances in Physics-informed ML Models and UQ
Yue Yu, Akwum Onwunta, Jihong Wang 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 (2h05)
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 (55min)
Plenary III: Applied Mathematics Problems in Cancer Immunotherapy Drug Development
Carolyn Cho (Eikon Therapeutics) › Gosnell 1250 Big Auditorium
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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