## ASU Electronic Theses and Dissertations

This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.

- 88 Arizona State University
- 25 Castillo-Chavez, Carlos
- 17 Kuang, Yang
- 16 Kang, Yun
- 16 Platte, Rodrigo
- 13 Gardner, Carl
- 12 Smith, Hal
- more
- 11 Armbruster, Dieter
- 10 Tang, Wenbo
- 8 Kostelich, Eric
- 8 Nagy, John
- 7 Gelb, Anne
- 7 Jackiewicz, Zdzislaw
- 7 Motsch, Sebastien
- 7 Ringhofer, Christian
- 6 Crook, Sharon
- 6 Thieme, Horst
- 5 Baer, Steven
- 5 Cochran, Douglas
- 5 Moustaoui, Mohamed
- 5 Mubayi, Anuj
- 4 Chowell-Puente, Gerardo
- 4 Mahalov, Alex
- 4 Renaut, Rosemary
- 4 Welfert, Bruno
- 3 Anderies, John M
- 3 Baer, Steven M
- 3 Collins, James
- 3 Crook, Sharon M
- 3 Janssen, Marcus A
- 3 Jones, Donald
- 3 Lanchier, Nicolas
- 3 Taylor, Jesse
- 3 Towers, Sherry
- 2 Calhoun, Ronald
- 2 Camacho, Erika
- 2 Camacho, Erika T
- 2 Gardner, Carl L
- 2 Gumel, Abba
- 2 Herrmann, Marcus
- 2 Lampert, Adam
- 2 Lanchier, Nicholas
- 2 Lopez, Juan M.
- 2 Mittelmann, Hans
- 2 Papandreou-Suppappola, Antonia
- 2 Peet, Yulia
- 2 Perrings, Charles
- 2 Platte, Rodrigo B
- 2 Reiser, Mark
- 2 Safan, Muntaser
- 2 Suslov, Sergei
- 2 Welfert, Bruno D
- 2 Wirkus, Stephen
- 1 Abbott, Joshua K
- 1 Akis, Richard
- 1 Alanazi, Khalaf Matar
- 1 Alvarez, Roberto
- 1 Anderson, Karen S
- 1 Aparicio, Juan P
- 1 Applegate, J M
- 1 Araujo Mitrano, Arthur
- 1 Archibald, Richard
- 1 Armbruster, Hans
- 1 Armbruster, Hans D
- 1 Artemiadis, Panagiotis
- 1 Asphaug, Erik
- 1 Baer, Steve
- 1 Baez, Javier
- 1 Barley, Kamal Kevin
- 1 Bates, Jordan Taylor
- 1 Berisha, Visar
- 1 Berman, Spring M
- 1 Bilinsky, Lydia
- 1 Blattman, Joseph N
- 1 Bliss, Daniel
- 1 Bliss, Nadya Travinin
- 1 Boggess, Albert
- 1 Boone, Christopher
- 1 Burkow, Daniel Harrison
- 1 Buscaglia, Robert
- 1 Caldwell, Wendy K
- 1 Castaneda, Edward
- 1 Castillo-Chávez, Carlos
- 1 Chang, Shaojie
- 1 Chowell, Diego
- 1 Coltin, Kevin Curosh
- 1 Dahm, Werner J.A.
- 1 Degrandi-Hoffman, Gloria D
- 1 Denker, Dennis
- 1 Duman, Tolga M
- 1 Durazo, Juan Alberto
- 1 Edme, Soho
- 1 Elkholy, Alexander
- 1 Elser, James J
- 1 Espinoza, Baltazar
- 1 Eubank, Randall
- 1 Evangelista, Arlene Morales
- 1 Everett, Rebecca Anne
- 1 Evilsizor, Stephen
- 1 Farrell, Alex Patrick

- 88 English

- 88 Public

- Applied mathematics
- 9 Biology
- 8 Mathematics
- 8 Statistics
- 6 Ecology
- 5 Electrical engineering
- 5 Epidemiology
- more
- 3 Economics
- 3 Engineering
- 3 Mathematical Modeling
- 3 Neurosciences
- 3 Oncology
- 2 Cancer
- 2 Cellular biology
- 2 Computational physics
- 2 Computer science
- 2 Dengue
- 2 Division of labor
- 2 Dynamical Systems
- 2 Ebola Virus Disease
- 2 Interacting Particle Systems
- 2 Lagrangian Coherent Structures
- 2 Mathematical Biology
- 2 Modeling
- 2 Network theory
- 2 Ordinary Differential Equations
- 2 Persistence
- 2 Public health
- 2 Sparsity
- 2 Turbulence
- 2 bioeconomics
- 2 dynamical systems
- 2 mathematical modeling
- 1 AM-FM Modeling
- 1 Adaptive behavior
- 1 Aerospace engineering
- 1 Age Structure
- 1 Age-structured models
- 1 Agent Based Modeling
- 1 Agent Based Models
- 1 Agent based simulation
- 1 Algebraic
- 1 Analytic Hierarchy Process
- 1 Anthroponotic Visceral Leishmaniasis
- 1 Applied Mathematics
- 1 Applied physics
- 1 Asteroid 16 Psyche
- 1 Atmospheric sciences
- 1 Attraction/Repulsion
- 1 Bacteriophage
- 1 Barley Yellow Dwarf Virus
- 1 Basic Reproductive Number
- 1 Bayesian Parameter Estimation
- 1 Bias Estimation
- 1 Bifurcation
- 1 Biostatistics
- 1 Bombay Plague
- 1 Bootstrap Percolation
- 1 Botany
- 1 Bounded Domains
- 1 Burgers Equation
- 1 Cancer evolution
- 1 Cancer immunology
- 1 Cannibalism
- 1 Chemotaxis
- 1 Chikungunya
- 1 Chytridiomycosis
- 1 Civil engineering
- 1 Classification
- 1 Climate change
- 1 Cocaine
- 1 Collaboration
- 1 Collective motion
- 1 Combination Treatment
- 1 Community development
- 1 Competition
- 1 Competitive Exclusion
- 1 Complex Network
- 1 Complexity Adaptive Systems Science
- 1 Complexity Economics
- 1 Compressed Sensing
- 1 Compressive Sensing
- 1 Computational Mathematics
- 1 Computer vision
- 1 Consensus
- 1 Conservation biology
- 1 Cooperation
- 1 Cournot competition
- 1 Creativity
- 1 Cumulative infectious force
- 1 Data Assimilation
- 1 Data-model comparison
- 1 Death-Birth Updating Process
- 1 Delay Differential Equations
- 1 Dendritic Cell Vaccine
- 1 Device simulator
- 1 Diabetes
- 1 Differential Equations
- 1 Diffusion equation
- 1 Divergence-Free

- Dwarf Galaxies as Laboratories of Protogalaxy Physics: Canonical Star Formation Laws at Low Metallicity
- Evolutionary Genetics of CORL Proteins
- Social Skills and Executive Functioning in Children with PCDH-19
- Deep Domain Fusion for Adaptive Image Classification
- Software Defined Pulse-Doppler Radar for Over-The-Air Applications: The Joint Radar-Communications Experiment

A continuously and stably stratified fluid contained in a square cavity subjected to harmonic body forcing is studied numerically by solving the Navier-Stokes equations under the Boussinesq approximation. Complex dynamics are observed near the onset of instability of the basic state, which is a flow configuration that is always an exact analytical solution of the governing equations. The instability of the basic state to perturbations is first studied with linear stability analysis (Floquet analysis), revealing a multitude of intersecting synchronous and subharmonic resonance tongues in parameter space. A modal reduction method for determining the locus of basic state instability is …

- Contributors
- Yalim, Jason, Welfert, Bruno D., Lopez, Juan M., et al.
- Created Date
- 2019

Autonomic closure is a new general methodology for subgrid closures in large eddy simulations that circumvents the need to specify fixed closure models and instead allows a fully- adaptive self-optimizing closure. The closure is autonomic in the sense that the simulation itself determines the optimal relation at each point and time between any subgrid term and the variables in the simulation, through the solution of a local system identification problem. It is based on highly generalized representations of subgrid terms having degrees of freedom that are determined dynamically at each point and time in the simulation. This can be regarded …

- Contributors
- Kshitij, Abhinav, Dahm, Werner J.A., Herrmann, Marcus, et al.
- Created Date
- 2019

Mathematical models are important tools for addressing problems that exceed experimental capabilities. In this work, I present ordinary and partial differential equation (ODE, PDE) models for two problems: Vicodin abuse and impact cratering. The prescription opioid Vicodin is the nation's most widely prescribed pain reliever. The majority of Vicodin abusers are first introduced via prescription, distinguishing it from other drugs in which the most common path to abuse begins with experimentation. I develop and analyze two mathematical models of Vicodin use and abuse, considering only those patients with an initial Vicodin prescription. Through adjoint sensitivity analysis, I show that focusing …

- Contributors
- Caldwell, Wendy K, Wirkus, Stephen, Asphaug, Erik, et al.
- Created Date
- 2019

I focus on algorithms that generate good sampling points for function approximation. In 1D, it is well known that polynomial interpolation using equispaced points is unstable. On the other hand, using Chebyshev nodes provides both stable and highly accurate points for polynomial interpolation. In higher dimensional complex regions, optimal sampling points are not known explicitly. This work presents robust algorithms that find good sampling points in complex regions for polynomial interpolation, least-squares, and radial basis function (RBF) methods. The quality of these nodes is measured using the Lebesgue constant. I will also consider optimal sampling for constrained optimization, used to …

- Contributors
- Liu, Tony, Platte, Rodrigo B, Renaut, Rosemary, et al.
- Created Date
- 2019

This dissertation develops a second order accurate approximation to the magnetic resonance (MR) signal model used in the PARSE (Parameter Assessment by Retrieval from Single Encoding) method to recover information about the reciprocal of the spin-spin relaxation time function (R2*) and frequency offset function (w) in addition to the typical steady-state transverse magnetization (M) from single-shot magnetic resonance imaging (MRI) scans. Sparse regularization on an approximation to the edge map is used to solve the associated inverse problem. Several studies are carried out for both one- and two-dimensional test problems, including comparisons to the first order approximation method, as well …

- Contributors
- Jesse, Aaron Mitchel, Platte, Rodrigo, Gelb, Anne, et al.
- Created Date
- 2019

The main objective of mathematical modeling is to connect mathematics with other scientific fields. Developing predictable models help to understand the behavior of biological systems. By testing models, one can relate mathematics and real-world experiments. To validate predictions numerically, one has to compare them with experimental data sets. Mathematical modeling can be split into two groups: microscopic and macroscopic models. Microscopic models described the motion of so-called agents (e.g. cells, ants) that interact with their surrounding neighbors. The interactions among these agents form at a large scale some special structures such as flocking and swarming. One of the key questions …

- Contributors
- Jamous, Sara Sami, Motsch, Sebastien, Armbruster, Dieter, et al.
- Created Date
- 2019

Network analysis is a key conceptual orientation and analytical tool in the social sciences that emphasizes the embeddedness of individual behavior within a larger web of social relations. The network approach is used to better understand the cause and consequence of social interactions which cannot be treated as independent. The relational nature of network data and models, however, amplify the methodological concerns associated with inaccurate or missing data. This dissertation addresses such concerns via three projects. As a motivating substantive example, Project 1 examines factors associated with the selection of interaction partners by students at a large urban high school …

- Contributors
- Bates, Jordan Taylor, Maroulis, Spiro J, Kang, Yun, et al.
- Created Date
- 2019

Eigenvalues of the Gram matrix formed from received data frequently appear in sufficient detection statistics for multi-channel detection with Generalized Likelihood Ratio (GLRT) and Bayesian tests. In a frequently presented model for passive radar, in which the null hypothesis is that the channels are independent and contain only complex white Gaussian noise and the alternative hypothesis is that the channels contain a common rank-one signal in the mean, the GLRT statistic is the largest eigenvalue $\lambda_1$ of the Gram matrix formed from data. This Gram matrix has a Wishart distribution. Although exact expressions for the distribution of $\lambda_1$ are known …

- Contributors
- Jones, Scott, Cochran, Douglas, Berisha, Visar, et al.
- Created Date
- 2019