• Stochastic Galerkin methods for the steady-state Navier-Stokes equations 

  Sousedík, Bedřich; Elman, Howard C. (Elsevier, 2016-04-14)

  We study the steady-state Navier-Stokes equations in the context of stochastic finite element discretizations. Specifically, we assume that the viscosity is a random field given in the form of a generalized polynomial chaos ...

• A Low-Rank Solver for the Navier--Stokes Equations with Uncertain Viscosity 

  Lee, Kookjin; Elman, Howard C.; Sousedik, Bedrich (Society for Industrial and Applied Mathematics, 2019-10-31)

  We study an iterative low-rank approximation method for the solution of the steady-state stochastic Navier--Stokes equations with uncertain viscosity. The method is based on linearization schemes using Picard and Newton ...

• Application of an SEIRD model to track the spread of COVID-19 in Nigeria 

  Mueller, Maya; Krishnamurthy, Ashok; Sousedík, Bedřich; Ojimelukwe, Agatha; Cobb, Loren; Boegelsack, Jocelyn

• Best Practices of Student Engagement in Online Teaching of HPC and Big Data Research 

  Gobbert, Matthias; Wang, Jianwu (UMBC High Performance Computing Facility, 2021)

  There is a critical nationwide shortage of IT professionals as well as of scientists and engineers with highperformance computing (HPC) and big data related advanced computing skills. Simultaneously, the technology is ...

• Bayesian Analysis of Singly Imputed Partially Synthetic Data Generated by Plug-in Sampling and Posterior Predictive Sampling Under the Multiple Linear Regression Model 

  Guin, Abhishek; Roy, Anindya; Sinha, Bimal (United States Census Bureau, 2021-08-25)

  In this paper we develop Bayesian inference based on singly imputed partially synthetic data, when the original data are derived from a multiple linear regression model. We assume that the synthetic data are generated ...

• Weak Solutions in Nonlinear Poroelasticity with Incompressible Constituents 

  Bociu, Lorena; Muha, Boris; Webster, Justin T. (2021-08-24)

  We consider quasi-static poroelastic systems with incompressible constituents. The nonlinear permeability is taken to be dependent on solid dilation, and physical types of boundary conditions (Dirichlet, Neumann, and mixed) ...

• Clinical Evaluation of Non-Contact Infrared Thermometers 

  Sullivan, Stacey J.L.; Rinaldi, Jean E.; Hariharan, Prasanna; Casamento, Jon P.; Baek, Seungchul; Seay, Nathanael; Vesnovsky, Oleg; Topoleski, Timmie (Research Square, 2021-08-18)

  Background: Non-contact infrared thermometers (NCITs) are being widely used during the COVID-19 pandemic as a temperature-measurement tool for screening and isolating patients in healthcare settings, travelers at ports ...

• An Approach to Tuning Hyperparameters in Parallel: An Approach to Tuning Hyperparameters in Parallel 

  Barajas, Carlos Alexander (2019-01-01)

  Predicting violent storms and dangerous weather conditions, for instance predicting tornados, is an important application for public safety. Using numerical weather simulations to classify a weather pattern as tornadic or ...

• Topics in Sparse Recovery via Constrained Optimization: Least Sparsity, Solution Uniqueness, and Constrained Exact Recovery 

  Mousavi, Seyedahmad (2019-01-01)

  Sparse recovery finds numerous applications in different areas, for example, engineering, computer science, business, applied mathematics, and statistics. Sparse recovery is often formulated as relatively large-scale and ...

• Analysis of Longitudinal Interval Reported Binary Recurrent Event Data & Statistical Model for Subgroup Identification in Enrichment Design 

  Lu, Wenxin (2019-01-01)

  This thesis contains two research projects. The first thesis project investigates the analytical methods for longitudinal interval reported binary recurrent event data. This project is motivated by the post hip fracture ...

• Computational Methods for Hidden Markov Models with Applications 

  Ji, Qing (2019-01-01)

  Hidden Markov models (HMM) are used in applications when the data structure contains a latent Markov chain. However, the Fisher information matrix (FIM) of an HMM does not have a closed form. Estimating the parameters of ...

• Preconditioning in Large-Scale Unconstrained Optimization Problems 

  Galambos, Emoke (2019-01-01)

  We investigate the effects of preconditioning on the convergence of the L-BFGS method. Our goal is to find a global minimum of a non-convex, differentiable function, using non-preconditioned and linearly preconditioned ...

• Accurate and efficient solution of the Stokes-Brinkman problem 

  Williamson, Kevin Andrew (2020-01-20)

  We consider three problems related to the numerical solution of the Stokes-Brinkman equations, which model flow through porous media. We first study and apply residual-based a posteriori error estimates (Chapter 3) to ...

• The Disruption of Bursting Behavior in Pancreatic Islets: A Network and Dynamical Systems Analysis of Multicellular Clusters 

  Patwardhan, Janita (2020-01-20)

  Pancreatic ? cells, responsible for secreting insulin into the bloodstream and maintaining glucose homeostasis, are organized in the islets of Langerhans as clusters of electrically coupled cells. Gap junctions, connecting ...

• Latent Propensity Score Approaches for Causal Effect Estimation Allowing Covariate Measurement Error and Non-Directly Observable Outcome 

  Feng, Zhou (2020-01-20)

  Real-world evidence (RWE) is playing an increasing role in facilitating the development of innovative therapies and assessing the safety of post-marketed medical products. However, it is common that a covariate is measured ...

• Manil Suri 

  Unknown author (Wikipedia, 2021-06-27)

• Higher-order synchronization of a nudging-based algorithm for data assimilation for the 2D NSE: a refined paradigm for global interpolant observables 

  Biswas, Animikh; Brown, Kenneth R.; Martinez, Vincent R. (2021-08-11)

  This paper considers a nudging-based scheme for data assimilation for the two-dimensional (2D) Navier-Stokes equations (NSE) with periodic boundary conditions and studies the synchronization of the signal produced by this ...

• Dynamic Equations of Motion for Inextensible Beams and Plates 

  Deliyianni, Maria; McHugh, Kevin; Webster, Justin; Dowell, Earl (2021-07-15)

  The large deflections of cantilevered beams and plates are modeled and discussed. Traditional nonlinear elastic models (e.g., that of von Karman) employ elastic restoring forces based on the effect of stretching on bending, ...

• Variational Bayes Estimation of Hidden Markov Models for Daily Precipitation with Semi-Continuous Emissions 

  Majumder, Reetam; Gobbert, Matthias K.; Mehta, Amita; Neerchal, Nagaraj K. (UMBC HPCF, 2021)

  Stochastic precipitation generators can simulate dry and wet rainfall stretches for long durations. Generated precipitation time series data are used in climate projections, impact assessment of extreme weather events, ...

• Race and other sociodemographic categories are differentially linked to multiple dimensions of interpersonal-level discrimination: Implications for intersectional, health research 

  Moody, Danielle L. Beatty; Waldstein, Shari R.; Leibel, Daniel K.; Hoggard, Lori S.; Gee, Gilbert C.; Ashe, Jason J.; Brondolo, Elizabeth; Al-Najjar, Elias; Evans, Michele K.; Zonderman, Alan B. (PLOS, 2021-05-19)

  Objectives To examine whether intersections of race with other key sociodemographic categories contribute to variations in multiple dimensions of race- and non-race-related, interpersonal-level discrimination and burden ...

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