In 1990, Thurston proved that for any two-dimensional simply connected region, the space of tilings is flip-connected. Later, Yamzon reproved this result using a commutative …
Given a stationary state-space model that relates a sequence of hidden states and corresponding measurements or observations, Bayesian filtering provides a principled statistical framework for …
With the phrases “artificial intelligence” and “Deep Learning” surfacing in the news alongside projections of rampant automation, this paper aims to explore Deep Learning in …
As a malaria patient takes and metabolizes weekly doses of an anti-malarial pyrimethamine, there is a periodic change in drug concentration. The growth rate, or …
Queuing systems are one of the most prominent technological evolution in today's digital world. Data centers and cloud networks operated by large companies like Microsoft, …
This thesis consists of two diverse topics on high order numerical methods for time-dependent partial differential equations (PDEs). In the first part, we develop a …
Diabetes is the leading cause of chronic kidney disease and kidney failure worldwide, causing 44 percent of new cases of kidney failure each year. Although …
Large deviations are classical topics of study that enjoy great practical application under probability theory. In essence, it studies the properties lie in the tail …
In this thesis, we give a review of modern blind, semi-blind, and informed source separation techniques. Specifically, the details of independent component analysis are derived, …
Background: People who inject drugs (PWID) are at high-risk for acquiring HIV in the rural United States. In 2015, Scott County, Indiana experienced the largest …
Monte Carlo methods are arguably among the most general purpose numerical tools currently available. There is a relatively long history of the use of large …
This thesis concerns itself with the study of nonparametric simultaneous confidence bands for binary regression and density functions, which can be viewed as a multiple …
Rare events are ones which occur infrequently, sometimes with extremely small probability, but they may nevertheless affect pertinent properties of a system. Such rare events …
Large-scale cloud networks and data centers operate in distributed parallel queue systems, rather than maintaining a centralized queue. Since demand patterns vary depending on time …
Finite-state interacting Markov chains are a well-studied class of stochastic processes on networks that have been used to model diverse phenomena, such as gas particles …
This dissertation is composed around the subject of modeling data-driven stochastic complex systems, where there are two challenges: information fusion and uncertainty quantification. In this …
Systems of oscillatory and excitable media frequently express regular spiral and traveling wave patterns, but bifurcations to complex structures are also common. Spiral wave patterns …