Theses/Dissertations from 2026
Riemann-Hilbert Problems for a Class of Planar Orthogonal Polynomials, Abril Arenas
New Developments in Space-Filling Designs, Xiankui Yang
Risk-Aware Deep Reinforcement Learning in Portfolio Optimization, Shimin Zhang
Theses/Dissertations from 2025
Exploring System Identification of Non-Linear Dynamics using the Weighted Composition operator and the Liouville operator, Chukwuebuka Amagwula
Fractional Calculus Approach For Learning Unknown Dynamic System, Haowei(Alice) Chen
Topics in Knot, Quandle, and Quiver Theory, Brooke Jones
On Some Hypergraph Coloring Algorithms, Boyoon Lee
Applications of Contracting Self-Similar Groups to Cryptography and Scale Groups, Arsalan Akram Malik
Theses/Dissertations from 2024
Artificial Intelligence Modeling of Alzheimer's Disease and Environmental Science, Mohamed Abu Sheha
Stochastic Predictive Modeling of Social Media Stocks and Reliability of Hard Disk Drives, Sameer Anand
The Effect of Fixed Time Delays on the Synchronization Phase Transition, Shaizat Bakhytzhan
Statistical Analysis And Modeling of Colon Cancer, Nessrin Bukhshim
Optimal Selection of Good Polynomials and Constructions of Locally Recoverable Codes via Galois Theory, Austin Dukes
Improvements in Computational Techniques For Determining Ideal Class Groups and Class Numbers, Muhammed Rashad Erukulangara
On the Subelliptic and Subparabolic Infinity Laplacian in Grushin-Type Spaces, Zachary Forrest
Utilizing Machine Learning Techniques for Accurate Diagnosis of Breast Cancer and Comprehensive Statistical Analysis of Clinical Data, Myat Ei Ei Phyo
Quandle Rings, Idempotents and Cocycle Invariants of Knots, Dipali Swain
Stochastic Analytical Predictive Models for Life Sciences and Crop Production Process, Erasmus Tetteh-Bator
Theses/Dissertations from 2023
Statistical Analysis of Ribonucleotide Incorporation in Human Cells, Tejasvi Channagiri
Continuous Time Dynamic Mode Decomposition in the Presence of Partial Knowledge and Streaming Data, Efrain H. Gonzalez
Matrix Models of 2D Critical Phenomena, Nathan Hayford
Data-Driven Learning Algorithm Via Densely-Defined Multiplication Operators and Occupation Kernels., John Kyei
Classification of Finite Topological Quandles and Shelves via Posets, Hitakshi Lahrani
Real Data–Driven Analytical Predictive Modeling for Financial Systems: Stochastic Intensity Function and Monitoring Indicator, Jayanta Kumar Pokharel
Applied Analysis for Learning Architectures, Himanshu Singh
Rational Functions of Degree Five That Permute the Projective Line Over a Finite Field, Christopher Sze
Recovering generators of principal ideals using subfield structure and applications to cryptography, William Youmans
Theses/Dissertations from 2022
New Developments in Statistical Optimal Designs for Physical and Computer Experiments, Damola M. Akinlana
Advances and Applications of Optimal Polynomial Approximants, Raymond Centner
Data-Driven Analytical Predictive Modeling for Pancreatic Cancer, Financial & Social Systems, Aditya Chakraborty
On Simultaneous Similarity of d-tuples of Commuting Square Matrices, Corey Connelly
Methods in Discrete Mathematics to Study DNA Rearrangement Processes, Lina Fajardo Gómez
Symbolic Computation of Lump Solutions to a Combined (2+1)-dimensional Nonlinear Evolution Equation, Jingwei He
Adversarial and Data Poisoning Attacks against Deep Learning, Jing Lin
Statistical Methods for Reliability Test planning and Data Analysis, Oluwaseun Elizabeth Otunuga
Boundary behavior of analytic functions and Approximation Theory, Spyros Pasias
Effective Statistical and Machine Learning Methods to Analyze Children's Vocabulary Learning, Houston T. Sanders
Stability Analysis of Delay-Driven Coupled Cantilevers Using the Lambert W-Function, Daniel Siebel-Cortopassi
A Functional Optimization Approach to Stochastic Process Sampling, Ryan Matthew Thurman
Theses/Dissertations from 2021
Zeros of Harmonic Polynomials and Related Applications, Azizah Alrajhi
Combination of Time Series Analysis and Sentiment Analysis for Stock Market Forecasting, Hsiao-Chuan Chou
Uncertainty Quantification in Deep and Statistical Learning with applications in Bio-Medical Image Analysis, K. Ruwani M. Fernando
Data-Driven Analytical Modeling of Multiple Myeloma Cancer, U.S. Crop Production and Monitoring Process, Lohuwa Mamudu
Long-time Asymptotics for mKdV Type Reduced Equations of the AKNS Hierarchy in Weighted L2 Sobolev Spaces, Fudong Wang
Online and Adjusted Human Activities Recognition with Statistical Learning, Yanjia Zhang
Theses/Dissertations from 2020
Bayesian Reliability Analysis of The Power Law Process and Statistical Modeling of Computer and Network Vulnerabilities with Cybersecurity Application, Freeh N. Alenezi
Discrete Models and Algorithms for Analyzing DNA Rearrangements, Jasper Braun
Bayesian Reliability Analysis for Optical Media Using Accelerated Degradation Test Data, Kun Bu
On the p(x)-Laplace equation in Carnot groups, Robert D. Freeman
Clustering methods for gene expression data of Oxytricha trifallax, Kyle Houfek
Gradient Boosting for Survival Analysis with Applications in Oncology, Nam Phuong Nguyen
Global and Stochastic Dynamics of Diffusive Hindmarsh-Rose Equations in Neurodynamics, Chi Phan
Restricted Isometric Projections for Differentiable Manifolds and Applications, Vasile Pop
On Some Problems on Polynomial Interpolation in Several Variables, Brian Jon Tuesink
Non-Associative Algebraic Structures in Knot Theory, Emanuele Zappala
Theses/Dissertations from 2019
Field Quantization for Radiative Decay of Plasmons in Finite and Infinite Geometries, Maryam Bagherian
Probabilistic Modeling of Democracy, Corruption, Hemophilia A and Prediabetes Data, A. K. M. Raquibul Bashar
Generalized Derivations of Ternary Lie Algebras and n-BiHom-Lie Algebras, Amine Ben Abdeljelil
Fractional Random Weighted Bootstrapping for Classification on Imbalanced Data with Ensemble Decision Tree Methods, Sean Charles Carter
Hierarchical Self-Assembly and Substitution Rules, Daniel Alejandro Cruz
Statistical Learning of Biomedical Non-Stationary Signals and Quality of Life Modeling, Mahdi Goudarzi
Probabilistic and Statistical Prediction Models for Alzheimer’s Disease and Statistical Analysis of Global Warming, Maryam Ibrahim Habadi
Essays on Time Series and Machine Learning Techniques for Risk Management, Michael Kotarinos
The Systems of Post and Post Algebras: A Demonstration of an Obvious Fact, Daviel Leyva
Reconstruction of Radar Images by Using Spherical Mean and Regular Radon Transforms, Ozan Pirbudak
Analyses of Unorthodox Overlapping Gene Segments in Oxytricha Trifallax, Shannon Stich
An Optimal Medium-Strength Regularity Algorithm for 3-uniform Hypergraphs, John Theado
Power Graphs of Quasigroups, DayVon L. Walker
Theses/Dissertations from 2018
Groups Generated by Automata Arising from Transformations of the Boundaries of Rooted Trees, Elsayed Ahmed
Non-equilibrium Phase Transitions in Interacting Diffusions, Wael Al-Sawai
A Hybrid Dynamic Modeling of Time-to-event Processes and Applications, Emmanuel A. Appiah
Lump Solutions and Riemann-Hilbert Approach to Soliton Equations, Sumayah A. Batwa
Developing a Model to Predict Prevalence of Compulsive Behavior in Individuals with OCD, Lindsay D. Fields
Generalizations of Quandles and their cohomologies, Matthew J. Green
Hamiltonian structures and Riemann-Hilbert problems of integrable systems, Xiang Gu
Optimal Latin Hypercube Designs for Computer Experiments Based on Multiple Objectives, Ruizhe Hou
Human Activity Recognition Based on Transfer Learning, Jinyong Pang
Signal Detection of Adverse Drug Reaction using the Adverse Event Reporting System: Literature Review and Novel Methods, Minh H. Pham
Statistical Analysis and Modeling of Cyber Security and Health Sciences, Nawa Raj Pokhrel
Machine Learning Methods for Network Intrusion Detection and Intrusion Prevention Systems, Zheni Svetoslavova Stefanova
Orthogonal Polynomials With Respect to the Measure Supported Over the Whole Complex Plane, Meng Yang
Theses/Dissertations from 2017
Modeling in Finance and Insurance With Levy-It'o Driven Dynamic Processes under Semi Markov-type Switching Regimes and Time Domains, Patrick Armand Assonken Tonfack
Prevalence of Typical Images in High School Geometry Textbooks, Megan N. Cannon
On Extending Hansel's Theorem to Hypergraphs, Gregory Sutton Churchill
Contributions to Quandle Theory: A Study of f-Quandles, Extensions, and Cohomology, Indu Rasika U. Churchill
Linear Extremal Problems in the Hardy Space Hp for 0 < p < 1, Robert Christopher Connelly
Statistical Analysis and Modeling of Ovarian and Breast Cancer, Muditha V. Devamitta Perera
Statistical Analysis and Modeling of Stomach Cancer Data, Chao Gao
Structural Analysis of Poloidal and Toroidal Plasmons and Fields of Multilayer Nanorings, Kumar Vijay Garapati
Dynamics of Multicultural Social Networks, Kristina B. Hilton
Cybersecurity: Stochastic Analysis and Modelling of Vulnerabilities to Determine the Network Security and Attackers Behavior, Pubudu Kalpani Kaluarachchi
Generalized D-Kaup-Newell integrable systems and their integrable couplings and Darboux transformations, Morgan Ashley McAnally
Patterns in Words Related to DNA Rearrangements, Lukas Nabergall
