

August 31, 2018
Junshan Lin
Department of Mathematics and Statistics, Auburn University
Location and Time: Parker Hall 328, 2pm3pm
Title: Mathematical Theories and Computational Approaches for Resonances Through Nanoholes
Abstract: In this talk, I will focus on certain resonance phenomena that occur in nanooptics, which leads to the socalled extraordinary optical transmission (EOT) phenomenon widely used in biosensing, nearfield imaging, etc.
Mathematical theories will be presented to understand such resonance phenomena and quantify the EOT rigorously. Computational approaches will also be discussed to obtain those resonances in an effective manner. I will try to make the talk accessible to graduate students with some PDE background.

September 21, 2018
Thi Thao Phuong Hoang
Department of Mathematics and Statistics, Auburn University
Location and Time: Parker Hall 328, 2pm3pm
Title: Conservative explicit local timestepping schemes for the shallow water equations
Abstract: We present explicit local timestepping (LTS) schemes of second and third order accuracy for the shallow water equations. The system is discretized in space by a Cgrid staggering method, namely the TRiSK scheme adopted in MPASOcean, a global ocean model with the capability of resolving multiple resolutions within a single simulation. The time integration is designed based on the strong stability preserving RungeKutta (SSPRK) methods, but different time step sizes can be used in different regions of the domain and are only restricted by respective local CFL conditions. The proposed schemes preserve some important physical quantities in the discrete sense, such as exact conservation of the mass and potential vorticity and conservation of the total energy within time truncation errors. Moreover, they inherit the natural parallelism of the original explicit global timestepping schemes. Extensive numerical tests are presented to illustrate the performance of the proposed algorithms.

September 28, 2018
Shitao Liu
Department of Mathematical Sciences, Clemson University
Location and Time: Parker Hall 328, 2pm3pm
Title: Inverse Hyperbolic Problems
Abstract: Inverse hyperbolic problems arise naturally in many practical applications such as medical imaging and geophysical exploration. Mathematically, the problems consist of determining the coefficients of secondorder hyperbolic equations from the boundary measured data. In this talk we will discuss the single measurement and many measurements—two of most important formulations—of the inverse hyperbolic problems. In particular, we will make a thorough study on the uniqueness and stability of reconstructing the wave speed from acoustic boundary measurement based on different approaches that are linked to the boundary control theory for hyperbolic equations.

October 5, 2018
Hai Dang Nguyen
Department of Mathematics, University of Alabama
Location and Time: Parker Hall 328, 2pm3pm
Title: A Multiscale Approach to Limit Cycles with Random Perturbations Involving Fast Switching and Small Diffusion
Abstract: This talk is devoted to multiscale stochastic systems. The motivation is to treat limit cycles under random perturbations involving fast random switching and small diffusion, which are represented by the use of two small parameters. Associated with the underlying systems, there are averaged or limit systems. Suppose that for each pair of the parameters, the solution of the corresponding equation has an invariant probability measure $\mu^{\eps,\delta}$, and that the averaged equation has a limit cycle in which there is an averaged occupation measure $\mu^0$ for the averaged equation. Our main effort is to prove that $\mu^{\eps,\delta}$ converges weakly to $\mu^0$ as $\eps \to 0$ and $\delta \to 0$ under suitable conditions. We also examine an application to a stochastic predatorprey model. Moreover, some numerical examples will also be reported.

October 19, 2018
Basiru Usman
Department of Mathematics and Statistics, Auburn University
Location and Time: Parker Hall 328, 2pm3pm
Title: Hopfield Lattice Model
Abstract: In this talk I will introduce the Hopfield neural network(HNN) proposed by J.J Hopfield in 1984 which consists of n system of differential equations, the dynamics of HNN resembles that of neurobiology so it is natural to think of n been very large, so then I will introduce the Hopfield lattice model which is basically the extension of n system of differential equation to infinite. To incorporate the environmental noise we introduce randomness to the input term. Existence and uniqueness of solution, long term behavior are investigated.

Oct 26, 2018
Jiguang Sun
Department of Mathematical Sciences, Michgan Technological University
Location and Time: Parker Hall 328, 2pm3pm
Title: Finite Element Methods for Eigenvalue Problems
Abstract: The numerical solution of eigenvalue problems is of fundamental importance
in many scientific and engineering applications, such as structural dynamics, quantum chemistry, electrical networks,
magnetohydrodynamics, and control theory. Due to the flexibility in treating complex structures and rigorous theoretical justification,
finite element methods, including conforming finite elements, nonconforming finite elements, mixed finite elements, discontinuous
Galerkin methods, etc., have been popular for eigenvalue problems of partial differential equations.
In this talk, we shall introduce finite element approximations for several typical problems including the Dirichlet eigenvalue problem,
the biharmonic eigenvalue problems, the Maxwell's eigenvalue problem and the new quadcurl eigenvalue problem.
Furthermore, we shall discuss two nonselfadjoint eigenvalueproblems:
the transmission eigenvalue problem and the Steklov eigenvalue Problems. To solve the resulting matrix eigenvalue problems,
a new algebraic eigensolver is developed and some recent progresses are presented.

November 2, 2018
Vu Thai Luan
Department of Mathematics and Statistics, Southern Methodist University
Location and Time: Parker Hall 328, 2pm3pm
Title: Recent developments of exponential integrators and their application
Abstract: In recent years, exponential integrators have emerged as an efficient alternative to standard time integrators for stiff PDEs. They are fully explicit and do not suffer from the stability restriction imposed by the CFL condition for the linear part. It has also been shown that exponential integrators can take much larger time steps than implicit/IMEX methods while maintaining the same level of accuracy. Thus they can offer significant computational savings, particularly for largescale stiff systems where no efficient preconditioner is available. In this talk, I will present the basic idea of constructing exponential integrators, derive new methods, and show their applications in meteorology and visual computing.

November 9, 2018
Mozhgan Entekhabi
Department of Mathematics, Florida A\&M University
Location and Time: Parker Hall 328, 2pm3pm
Title: Inverse Source Problems for Wave Propagation
Abstract: Inverse source scattering problem arises in many areas of science. It has numerous applications to surface vibrations, acoustical and biomedical industries, and material science. In particular, inverse source problem seeks the radiating source which produces the measured wave field. This research aims to provide a technique for recovering the source function of the classical elasticity system and the Helmholtz equation from boundary data at multiple wave numbers when the source is compactly supported in an arbitrary bounded C 2 − boundary domain, establish uniqueness for the source from the Cauchy data on any open non empty part of the boundary for arbitrary positive K, and increasing stability when wave number K is getting large. Various studies showed that the uniqueness can be regained by taking multifrequency boundary measurement in a nonempty frequency interval (0, K) noticing the analyticity of wavefield on the frequency. One of important examples is recovery of acoustic sources from boundary measurement of the pressure. This type of inverse source problem is also motivated by the wide applications in antenna synthesis, medical imaging and geophysics.

November 16, 2018
Ismail Abdulrashid
Department of Mathematics and Statistics, Auburn University
Location and Time: Parker Hall 328, 2pm3pm
Title: Effects of Delays in Mathematical Models of Cancer Chemotherapy
Abstract: Two mathematical models of chemotherapy cancer treatment are
studied and compared, one modeling the chemotherapy agent as the predator
and the other modeling the chemotherapy agent as the prey. In both models
constant delay parameters are introduced to incorporate the time lapsed
from the instant the chemotherapy agent is injected to the moment it starts
to be eff ective. For each model, the existence and uniqueness of nonnegative
bounded solutions are fi rst established. Then both local and Lyapunov stability
for all steady states are investigated. In particular, sufficient conditions
dependent of the delay parameters under which each steady state is asymptotically
stable are constructed. Numerical simulations will be presented in order to illustrate
the theoretical results.

December 1, 2018
Lianzhang Bao
Department of Mathematics, Jilin University
Location and Time: Parker Hall 328, 2pm3pm
Title: Dynamics in the logistic type chemotaxis models with a free boundary
Abstract: This talk is concerned with the dynamics in the logistic type chemotaxis with a free boundary. In the first section, a free boundary problem via Fick's law will be derived to describe the spreading of certain species and some current results of the minimal chemotaxis model, chemotaxis model with logistic terms on fixed bounded and unbounded domain will be reviewed. In the second section, the global bounded solution of the free boundary problem and its asymptotic dynamics will be investigated. Some open problems and future works will also be discussed. This is a joint work with Professor Wenxian Shen.

December 8, 2018
Habib Najm
Sandia National Laboratories
Location and Time: Parker Hall 328, 2pm3pm
Title: Uncertainty Quantification in Computational Models of Large Scale Physical Systems
Abstract: Uncertainty quantification (UQ) in large scale computational models of complex physical systems
faces the two key challenges of high dimensionality and high sample computational cost. Such models
often involve a large number of uncertain parameters, associated with various modeling
constructions, as well as uncertain initial/boundary conditions. Exploring such high dimensional
spaces typically necessitates the use of a large number of computational samples, which, given the
cost of large scale computational models, is prohibitvely expensive and thus infeasible. I will
discuss a set of UQ methods, and a UQ workflow, to address this challenge. The suite of
methods includes global sensitivity analysis (GSA) with polynomial chaos (PC) regression and
compressive sensing, coupled with multilevel Monte Carlo (MLMC) and/or multilevel multifidelity
(MLMF) methods. The combination of these tools is often useful to reliably cutdown dimensionality
with feasible computational costs, identifying a lower dimensional subspace on the uncertain
parameters where subsequent adaptive sparse quadrature PC methods can be employed, with accurate
estimation of predictive uncertainty. I will illustrate this UQ workflow on model problems, and on
an application involving highspeed turbulent reacting flow.
