Theses/Dissertations from 2024
Automated Data-Flow Optimization for Digital Signal Processors, Madushan Thilina Abeysinghe
Approximate Computing and In-Memory Computing: the Best of the Two Worlds!, Mohammed Essa Fawzy Essa
Predictive Filtering-Based Image Inpainting, Xiaoguang Li
Object Classification, Detection and Tracking in Challenging Underwater Environment, Md Modasshir
High-Rate Production of Thermoplastic Composite Structures for Urban Air Mobility Vehicles Utilizing Fastener-Free Assembly Methods, Robert H. Shumpert
On Parallelization of Graph Algorithms, Performance Modelling and Autonomous 3D Printable Object Synthesis, Shams-ul-Haq Syed
The Effect of Chromium Coatings on Hydrogen Uptake in Zirconium Alloy Nuclear Fuel Cladding, Jorie Lyn Walters
Scene Text Detection and Recognition Via Discriminative Representation, Liang Zhao
Theses/Dissertations from 2023
Evaluation of Preferential Vaporization Characteristics of Isolated Single Droplet Combustion in a Converging Channel, Claire Elizabeth Dixon
Enhancing Relation Database Security with Shuffling, Tieming Geng
Actuation and Sensing Applications of Piezoelectric Transducers, Connor Griffin
Computerized Psychological Testing: Designing and Developing an Efficient Test Suite Using HCI and Reinforcement Learning Techniques, William Henry Hoskins
Robust Underwater State Estimation and Mapping, Bharat Joshi
Leveraging Programmable Switches to Enhance the Performance of Networks: Active and Passive Deployments, Elie Kfoury
Extending the Convolution in Graph Neural Networks to Solve Materials Science and Node Classification Problems, Steph-Yves Mike Louis
Advancing the Engineering Workforce by Enhancing Diversity, Equity, and Inclusion in the Engineering Classroom, Phoneia Hughes Myers
Semantics-Based Data Security Models, Theppatorn Rhujittawiwat
Digital Health Design for Improving Treatment Decisions, Akanksha Singh
Real-Time Facial Expression Recognition Using Edge AI Accelerators, Mark Heath Smith
Predicting Material Structures and Properties Using Deep Learning And Machine Learning Algorithms, Yuqi Song
Utilizing Deep Learning Methods in the Identification and Synthesis of Gene Regulations, Jiandong Wang
Learning Analytics Through Machine Learning and Natural Language Processing, Bokai Yang
Theses/Dissertations from 2022
Image Restoration Under Adverse Illumination for Various Applications, Lan Fu
Knowledge-Infused Learning, Manas Gaur
Manufacturing Process Considerations When Transitioning From Thermoset to Thermoplastic Composite Material for Urban Air Mobility Propellers, Samuel Leonard Jones III
Digital Twins in Advanced Manufacturing to Enhance Manufacturing Efficiency, Max Kirkpatrick
On Incorporating the Stochasticity of Quantum Machine Learning Into Classical Models, Joseph Lindsay
CNN-Based Dendrite Core Detection From Microscopic Images of Directionally Solidified NI-Base Alloys, Xiaoguang Li
CNN-Based Semantic Segmentation with Shape Prior Knowledge, Yuhang Lu
Human Activity Recognition (HAR) Using Wearable Sensors and Machine Learning, Chrisogonas Odero Odhiambo
Applications of Machine Learning for Improved Patient Selection and Therapy Recommendations, Brendan Elochukwu Odigwe
Concurrent Identification, Characterization, and Reconstruction Of Protein Structure and Mixed-Mode Dynamics From RDC Data Using Redcraft, Hanin Rafiq Omar
Graph Neural Network and Phylogenetic Tree Construction, Gaofeng Pan
Empirical Studies on Automated Software Testing Practices, Alireza Salahirad
Image-Based Crack Detection by Extracting Depth of the Crack Using Machine Learning, Nishat Tabassum
Cross Domain Semantic Segmentation, Xinyi Wu
Learning Depth From Images, Zhenyao Wu
On Providing Efficient Real-Time Solutions to Motion Planning Problems of High Complexity, Marios Xanthidis
Deep Learning Based Generative Materials Design, Yong Zhao
Identifying and Discovering Curve Pattern Designs from Fragments of Pottery, Jun Zhou
Theses/Dissertations from 2021
Detecting the Intent of Email Using Embeddings, Deep Learning and Transfer Learning, Zaid Alibadi
Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection, Hussein Khalid Almulla
Multi-Robot Coordination with Environmental Disturbances, Adem Coskun
Development of a Converging-Channel Drop Tower For Sphere Symmetric Isolated Single Droplet Combustion, Nicholas Alexander DeMaio
Regularized Deep Network Learning For Multi-Label Visual Recognition, Hao Guo
Robot Area Coverage Path Planning in Aquatic Environments, Nare Karapetyan
Deep Learning Based Sound Event Detection and Classification, Alireza Nasiri
Sampling and Robustness in Multi-Robot Visibility-Based Pursuit-Evasion, Trevor Vincent Olsen
Deep Learning based Models for Classification from Natural Language Processing to Computer Vision, Xianshan Qu
Correct Web Service Transactions in the Presence of Malicious and Misbehaving Transactions, John Thomas Ravan III
Multi-Objective Routing for Distributed Controllers, Konstantin Y. Rubin
Theses/Dissertations from 2020
A Machine Learning Based Approach to Accelerate Catalyst Discovery, Asif Jamil Chowdhury
From Cellular to Holistic: Development of Algorithms to Study Human Health and Diseases, Casey Anne Cole
On the Robustness of Bayesian Network Learning Algorithms against Malicious Attacks, Noah Joseph Geveke
Algorithmic Robot Design: Label Maps, Procrustean Graphs, and the Boundary of Non-Destructiveness, Shervin Ghasemlou
An Overlay Architecture for Pattern Matching, Rasha Elham Karakchi
Smart Sensing Enabled Secure and Usable Pairing and Authentication, Xiaopeng Li
The Utility of Multiple Structure Torsion Angle Alignment in Protein Active Site Description (ASD), Devaun L. McFarland
Moving-Camera Video Content Analysis via Action Recognition and Homography Transformation, Yang Mi
Providing Predictable Performance during Network Contingencies, Phani Krishna Penumarthi
A Multi-Sensor Fusion-Based Underwater Slam System, Sharmin Rahman
Theses/Dissertations from 2019
Stacked Modelling Framework, Kareem Abdelfatah
Challenges in Large-Scale Machine Learning Systems: Security and Correctness, Emad Alsuwat
Cybersecurity Issues in the Context of Cryptographic Shuffling Algorithms and Concept Drift: Challenges and Solutions, Hatim Alsuwat
Semantic-Based Access Control Mechanisms in Dynamic Environments, Mouiad A. Hani AL-Wahah
Experimental Analysis of the Automated Fiber Placement Manufacturing Parameters for High and Low Tack Prepreg Material, Anis Baz Radwan
Landslide Detection Using Remote Sensing Methods A Review of Current Techniques, Sumanth Varma Byrraju
Improving Person-Independent Facial Expression Recognition Using Deep Learning, Jie Cai
Development of a National-Scale Big Data Analytics Pipeline to Study the Potential Impacts of Flooding on Critical Infrastructures and Communities, Nattapon Donratanapat
Semantic Segmentation Considering Image Degradation, Global Context, and Data Balancing, Dazhou Guo
Properties, Learning Algorithms, and Applications of Chain Graphs and Bayesian Hypergraphs, Mohammad Ali Javidian
Too Agile? - DevOps Software Development Challenges in a Military Environment, Burl T. Kenner III
A Novel and Inexpensive Solution to Build Autonomous Surface Vehicles Capable of Negotiating Highly Disturbed Environments, Jason Moulton
A Partially Automated Process For the Generation of Believable Human Behaviors, Bridgette Parsons
An Instruction Embedding Model for Binary Code Analysis, Kimberly Michelle Redmond
Insider’s Misuse Detection: From Hidden Markov Model to Deep Learning, Ahmed Saaudi
Development of an Automated Fiber Placement Process for the Fabrication of Thermoplastic Composite Laminates, Anthony M. Sabido
Machine Learning Methods for Rapid Inspection of Automated Fiber Placement Manufactured Composite Structures, Christopher Sacco
Machine Learning Based Ultra High Carbon Steel Image Segmentation, Sumith Kuttiyil Suresh
Phylogenetic Reconstruction Analysis on Gene Order and Copy Number Variation, Ruofan Xia
Person Identification With Convolutional Neural Networks, Kang Zheng
Theses/Dissertations from 2018
Interfacing Iconicity - Addressing Software Divarication Through Diagrammatic Design Principles, George Akhvlediani
Bytecode-based Multiple Condition Coverage: An Initial Investigation, Srujana Bollina
Uncertainty Estimation of Deep Neural Networks, Chao Chen
Ontology-Guided Pre-Release Inference Disruption, Mark Stephen Daniels
Phylogeny, Ancestral Genome, And Disease Diagnoses Models Constructions Using Biological Data, Bing Feng
Exploring Machine Learning Techniques To Improve Peptide Identification, Fawad Kirmani
Algorithms for Robot Coverage Under Movement and Sensing Constraints, Jeremy S. Lewis
MS. AN (Meeting Students’ Academic Needs): A Socially Adaptive Robot Tutor For Student Engagement In Math Education, Karina Liles
Inference Framework for Model Update and Development, Xiao Lin
Machine Learning Based Disease Gene Identification and MHC Immune Protein-peptide Binding Prediction, Zhonghao Liu
On The Security And Quality Of Wireless Communications In Outdoor Mobile Environment, Sharaf J. Malebary
Improving Speech-related Facial Action Unit Recognition by Audiovisual Information Fusion, Zibo Meng
Implementation Costs of Spiking versus Rate-Based ANNs, Lacie Renee Stiffler
Authenticating Users with 3D Passwords Captured by Motion Sensors, Jing Tian