Events

Applied Math Seminar – Dang Nguyen, University of Alabama

346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Title: A Multi-scale Approach to  Limit Cycles with Random Perturbations Involving Fast Switching and Small Diffusion Abstract: This talk is devoted to multi-scale 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

Applied Math Seminar – Haomin Zhou, Georgia Institute of Technology

346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Title: Optimal Transport on Finite Graphs with Applications Abstract: In this talk, I will discuss the optimal transport theory on discrete spaces. Various recent developments related to free energy, Fokker-Planck equations, as well as Wasserstein distance on graphs will be presented, some of them are rather surprising. Applications in game theory and robotics will be

Applied Math Seminar – Shan Zhao, University of Alabama

302 Gordon Palmer Hall

Title: An overview of numerical algorithms for the Poisson-Boltzmann equation in biomolecular electrostatics Abstract: The Poisson-Boltzmann Equation (PBE) is a widely used implicit solvent model for the electrostatic analysis of solvated biomolecules. The numerical solution of the PBE is known to be challenging, due to the consideration of discontinuous coefficients, complex geometry of protein structures,

Applied Math Seminar – Husheng Li, University of Tennessee, Knoxville

302 Gordon Palmer Hall

Title: Data Driven Quickest Change Detection: In the Spirit of Kullback, Kolmogorov and Shannon Abstract: Quickest change detection is to detect the unknown change of distribution of random process, which has a wide spectrum of applications in practice such as signal processing, financial data analysis and power grid operation, et al. In traditional quickest change

Applied Math Seminar – Wei Zhu, University of Alabama

302 Gordon Palmer Hall

Title: A lower-order image denoising model for staircase reduction Abstract: In this talk, we will discuss a total-variation based lower-order image denoising model that is able to reduce the well-known staircasing phenomenon possessed by the Rudin-Osher-Fatemi model. To minimize the proposed variational model, we employ augmented Lagrangian method (ALM). Convergence analysis is established for the

Applied Math Seminar – Qin Wang, University of Alabama

302 Gordon Palmer Hall

Title: Sufficient dimension reduction for high dimensional data Abstract: The high dimensional data generated from modern scientific discoveries introduces unique challenges to statistical modeling. Sufficient dimension reduction (SDR) is a useful tool to bridge the gap through projection subspace recovery. In this study, a new formulation is proposed based on the Hellinger integral of order

Applied Math Seminar – Evie A. Malaia, Communicative Disorders, University of Alabama

302 Gordon Palmer Hall

Title: Mathematical models in cognitive neuroscience: advances and opportunities Abstract:  High prevalence of neurodegenerative (Parkinson’s, Alzheimer’s) and neurodevelopmental (Autism spectrum disorders, ADHD) disorders in modern population increased the demand for precision therapeutic interventions. However, the current understanding of how those diseases develop and affect brain processing over time is incomplete, and testing of in-vivo interventions

Applied Math Seminar – Di Liu, Michigan State University

302 Gordon Palmer Hall

Title: Multiscale Modeling and Computation of Optically Manipulated Nano Devices Abstract: We present a multiscale modeling and computational scheme for optical-mechanical responses of nanostructures. The multi-physical nature of the problem is a result of the interaction between the electromagnetic (EM) field, the molecular motion, and the electronic excitation. To balance accuracy and complexity, we adopt the semi-classical

Applied Math Seminar – Shibin Dai, University of Alabama

346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Title: Mean field models for thin film droplet coarsening Abstract: A thin liquid film coating a solid substrate is unstable and the late stage morphology is essentially quasiequilibrium droplets connected by an ultra thin film. Droplets exchange mass and coarsening occurs — the total number of droplets N(t) decreases while the average size of droplets

Applied Math Seminar – Brendan Ames, University of Alabama

346 Gordon Palmer Hall 505 Hackberry Lane, Tuscaloosa, AL, United States

Title: Exact clustering by semidefinite programming under the heterogeneous planted cluster model. Abstract: Clustering, or the sorting of data into groups of similar items, is a fundamental task in machine learning and statistical analysis. Until recently, most computational methods for clustering relied on heuristics with no theoretical guarantee ensuring that clusters present in the data