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Theses/Dissertations from 2023

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Evaluation of Preferential Vaporization Characteristics of Isolated Single Droplet Combustion in a Converging Channel, Claire Elizabeth Dixon

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Actuation and Sensing Applications of Piezoelectric Transducers, Connor Griffin

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Leveraging Programmable Switches to Enhance the Performance of Networks: Active and Passive Deployments, Elie Kfoury

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Extending the Convolution in Graph Neural Networks to Solve Materials Science and Node Classification Problems, Steph-Yves Mike Louis

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Advancing the Engineering Workforce by Enhancing Diversity, Equity, and Inclusion in the Engineering Classroom, Phoneia Hughes Myers

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Semantics-Based Data Security Models, Theppatorn Rhujittawiwat

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Digital Health Design for Improving Treatment Decisions, Akanksha Singh

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Real-Time Facial Expression Recognition Using Edge AI Accelerators, Mark Heath Smith

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Predicting Material Structures and Properties Using Deep Learning And Machine Learning Algorithms, Yuqi Song

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Utilizing Deep Learning Methods in the Identification and Synthesis of Gene Regulations, Jiandong Wang

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Learning Analytics Through Machine Learning and Natural Language Processing, Bokai Yang

Theses/Dissertations from 2022

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Image Restoration Under Adverse Illumination for Various Applications, Lan Fu

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Knowledge-Infused Learning, Manas Gaur

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Manufacturing Process Considerations When Transitioning From Thermoset to Thermoplastic Composite Material for Urban Air Mobility Propellers, Samuel Leonard Jones III

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Digital Twins in Advanced Manufacturing to Enhance Manufacturing Efficiency, Max Kirkpatrick

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On Incorporating the Stochasticity of Quantum Machine Learning Into Classical Models, Joseph Lindsay

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CNN-Based Dendrite Core Detection From Microscopic Images of Directionally Solidified NI-Base Alloys, Xiaoguang Li

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CNN-Based Semantic Segmentation with Shape Prior Knowledge, Yuhang Lu

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Human Activity Recognition (HAR) Using Wearable Sensors and Machine Learning, Chrisogonas Odero Odhiambo

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Applications of Machine Learning for Improved Patient Selection and Therapy Recommendations, Brendan Elochukwu Odigwe

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Concurrent Identification, Characterization, and Reconstruction Of Protein Structure and Mixed-Mode Dynamics From RDC Data Using Redcraft, Hanin Rafiq Omar

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Graph Neural Network and Phylogenetic Tree Construction, Gaofeng Pan

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Automata-Theoretic Approaches to Planning in Robotics: Combinatorial Filter Minimization, Planning to Chronicle, Temporal Logic Planning With Soft Specifications, and Sensor Selection for Detecting Deviations From a Planned Itinerary, Hazhar Rahmani

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Empirical Studies on Automated Software Testing Practices, Alireza Salahirad

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Image-Based Crack Detection by Extracting Depth of the Crack Using Machine Learning, Nishat Tabassum

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Cross Domain Semantic Segmentation, Xinyi Wu

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Learning Depth From Images, Zhenyao Wu

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On Providing Efficient Real-Time Solutions to Motion Planning Problems of High Complexity, Marios Xanthidis

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Deep Learning Based Generative Materials Design, Yong Zhao

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Identifying and Discovering Curve Pattern Designs from Fragments of Pottery, Jun Zhou

Theses/Dissertations from 2021

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Detecting the Intent of Email Using Embeddings, Deep Learning and Transfer Learning, Zaid Alibadi

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Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection, Hussein Khalid Almulla

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Multi-Robot Coordination with Environmental Disturbances, Adem Coskun

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Development of a Converging-Channel Drop Tower For Sphere Symmetric Isolated Single Droplet Combustion, Nicholas Alexander DeMaio

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Regularized Deep Network Learning For Multi-Label Visual Recognition, Hao Guo

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Robot Area Coverage Path Planning in Aquatic Environments, Nare Karapetyan

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Deep Learning Based Sound Event Detection and Classification, Alireza Nasiri

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Sampling and Robustness in Multi-Robot Visibility-Based Pursuit-Evasion, Trevor Vincent Olsen

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Deep Learning based Models for Classification from Natural Language Processing to Computer Vision, Xianshan Qu

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Correct Web Service Transactions in the Presence of Malicious and Misbehaving Transactions, John Thomas Ravan III

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Multi-Objective Routing for Distributed Controllers, Konstantin Y. Rubin

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Failure of Ultra-High Molecular Weight Polyethylene Yarns (UHMPWE) Under Transverse Loading Using Different Indenter Geometries, Karan Shah

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Towards More Trustworthy Deep Learning: Accurate, Resilient, and Explainable Countermeasures Against Adversarial Examples, Fei Zuo

Theses/Dissertations from 2020

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A Machine Learning Based Approach to Accelerate Catalyst Discovery, Asif Jamil Chowdhury

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From Cellular to Holistic: Development of Algorithms to Study Human Health and Diseases, Casey Anne Cole

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Parsimonious Sociology Theory Construction: From a Computational Framework to Semantic-Based Parsimony Analysis, Mingzhe Du

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On the Robustness of Bayesian Network Learning Algorithms against Malicious Attacks, Noah Joseph Geveke

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Algorithmic Robot Design: Label Maps, Procrustean Graphs, and the Boundary of Non-Destructiveness, Shervin Ghasemlou

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An Overlay Architecture for Pattern Matching, Rasha Elham Karakchi

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Smart Sensing Enabled Secure and Usable Pairing and Authentication, Xiaopeng Li

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The Utility of Multiple Structure Torsion Angle Alignment in Protein Active Site Description (ASD), Devaun L. McFarland

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Moving-Camera Video Content Analysis via Action Recognition and Homography Transformation, Yang Mi

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Providing Predictable Performance during Network Contingencies, Phani Krishna Penumarthi

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A Multi-Sensor Fusion-Based Underwater Slam System, Sharmin Rahman

Theses/Dissertations from 2019

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Stacked Modelling Framework, Kareem Abdelfatah

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Challenges in Large-Scale Machine Learning Systems: Security and Correctness, Emad Alsuwat

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Cybersecurity Issues in the Context of Cryptographic Shuffling Algorithms and Concept Drift: Challenges and Solutions, Hatim Alsuwat

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Semantic-Based Access Control Mechanisms in Dynamic Environments, Mouiad A. Hani AL-Wahah

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Experimental Analysis of the Automated Fiber Placement Manufacturing Parameters for High and Low Tack Prepreg Material, Anis Baz Radwan

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Landslide Detection Using Remote Sensing Methods A Review of Current Techniques, Sumanth Varma Byrraju

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Improving Person-Independent Facial Expression Recognition Using Deep Learning, Jie Cai

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Development of a National-Scale Big Data Analytics Pipeline to Study the Potential Impacts of Flooding on Critical Infrastructures and Communities, Nattapon Donratanapat

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Semantic Segmentation Considering Image Degradation, Global Context, and Data Balancing, Dazhou Guo

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Properties, Learning Algorithms, and Applications of Chain Graphs and Bayesian Hypergraphs, Mohammad Ali Javidian

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Too Agile? - DevOps Software Development Challenges in a Military Environment, Burl T. Kenner III

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A Novel and Inexpensive Solution to Build Autonomous Surface Vehicles Capable of Negotiating Highly Disturbed Environments, Jason Moulton

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A Partially Automated Process For the Generation of Believable Human Behaviors, Bridgette Parsons

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An Instruction Embedding Model for Binary Code Analysis, Kimberly Michelle Redmond

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Insider’s Misuse Detection: From Hidden Markov Model to Deep Learning, Ahmed Saaudi

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Development of an Automated Fiber Placement Process for the Fabrication of Thermoplastic Composite Laminates, Anthony M. Sabido

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Machine Learning Methods for Rapid Inspection of Automated Fiber Placement Manufactured Composite Structures, Christopher Sacco

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Machine Learning Based Ultra High Carbon Steel Image Segmentation, Sumith Kuttiyil Suresh

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Phylogenetic Reconstruction Analysis on Gene Order and Copy Number Variation, Ruofan Xia

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Person Identification With Convolutional Neural Networks, Kang Zheng

Theses/Dissertations from 2018

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Interfacing Iconicity - Addressing Software Divarication Through Diagrammatic Design Principles, George Akhvlediani

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Bytecode-based Multiple Condition Coverage: An Initial Investigation, Srujana Bollina

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Uncertainty Estimation of Deep Neural Networks, Chao Chen

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Ontology-Guided Pre-Release Inference Disruption, Mark Stephen Daniels

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Phylogeny, Ancestral Genome, And Disease Diagnoses Models Constructions Using Biological Data, Bing Feng

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Exploring Machine Learning Techniques To Improve Peptide Identification, Fawad Kirmani

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Algorithms for Robot Coverage Under Movement and Sensing Constraints, Jeremy S. Lewis

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MS. AN (Meeting Students’ Academic Needs): A Socially Adaptive Robot Tutor For Student Engagement In Math Education, Karina Liles

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Inference Framework for Model Update and Development, Xiao Lin

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Machine Learning Based Disease Gene Identification and MHC Immune Protein-peptide Binding Prediction, Zhonghao Liu

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On The Security And Quality Of Wireless Communications In Outdoor Mobile Environment, Sharaf J. Malebary

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Improving Speech-related Facial Action Unit Recognition by Audiovisual Information Fusion, Zibo Meng

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Implementation Costs of Spiking versus Rate-Based ANNs, Lacie Renee Stiffler

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Authenticating Users with 3D Passwords Captured by Motion Sensors, Jing Tian

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The Design, Development, And Evaluation Of A Usable And Privacy-Enhanced Telepresence Interface For Older Adults, Xian Wu

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Tracking, Detection and Registration in Microscopy Material Images, Hongkai Yu

Theses/Dissertations from 2017

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Improving Peptide Identification by Considering Ordered Amino Acid Usage, Ahmed AL-Qurri

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Cost and Fuel Usage Optimization of Activating Solution Based Silica Fume Geopolymer Concrete, Lateef Najeh Assi

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Blind Change Point Detection And Regime Segmentation Using Gaussian Process Regression, Sourav Das

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Improving Facial Action Unit Recognition Using Convolutional Neural Networks, Shizhong Han

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Bird's Eye View: Cooperative Exploration by UGV and UAV, Shannon Hood

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Ensuring the Observability of Structural Test Obligations, Ying Meng

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A Machine Learning Approach For Enhancing Security And Quality Of Service Of Optical Burst Switching Networks, Adel Dabash A. Rajab

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Mobile Application For Shipping Goods For Individuals And Truckers In India, Sendurr Selvaraj

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Underwater Cave Mapping and Reconstruction Using Stereo Vision, Nicholas Weidner

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Investigate Genomic 3D Structure Using Deep Neural Network, Yan Zhang