Electrical and Computer Engineering Theses and Dissertations

 

This collection contains theses and dissertations from the Department of Electrical and Computer Engineering, collected from the Scholarship@Western Electronic Thesis and Dissertation Repository

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Theses/Dissertations from 2024

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The Development and Testing of a Gyroscope-Based Neck Strengthening Rehabilitation Device, Nicole D. Devos

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Towards Smart-Building Digital Twin: Data Integration, and Probabilistic Frameworks for Reliable Virtual Sensing, and Continuous Model Calibration, Dagimawi D. Eneyew

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Attribution Robustness of Neural Networks, Sunanda Gamage

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Value of Service-Oriented Multi-Service Provisioning and Resource Allocation in Integrated Localization, Sensing and Communication Systems, Biwei Li

Theses/Dissertations from 2023

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Cluster-based Station Reporting and Multi-AP Coordination in Wi-Fi Networks, zeyad abdelmageid

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Enhancing the Performance of NMT Models Using the Data-Based Domain Adaptation Technique for Patent Translation, Maimoonah Ahmed

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Exploration of Force in Movement and Perception in Parkinson’s Disease, Caroline Stefanie Aitken

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Towards Zero Touch Next Generation Network Management, sam aleyadeh

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Deep Reinforcement Learning for Autonomous Unmanned Aerial Vehicle Navigation, Fadi AlMahamid

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SSL Everywhere: Leveraging HSMs for Enhanced Intra-Domain Security, Yazan Aref

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Multi-Dimensional QoS and Collaborative MAC Layer Design for Dense, Diverse, and Dynamic IoT Network, Jiyang Bai

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Computer Vision-Based Hand Tracking and 3D Reconstruction as a Human-Computer Input Modality with Clinical Application, Tania Banerjee

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Continuous Authentication in the Digital Age: An Analysis of Reinforcement Learning and Behavioural Biometrics, Priya Bansal

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Developing and testing a miniaturized in situ XRD for a Mars rover, Dana Michael Beaton

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Automatic Classification and Segmentation of Patterned Martian Ground Using Deep Learning Techniques, Ruthy Brito

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Intelligent Automation Solutions for Network Management and Security in 5G Networks: A Study on AutoML and Digital Twins, Mirna El Rajab

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A Novel Two-Stage AC-DC Power Converter with Partial Power Processing, Mina Fakhri

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Nonlinear Adaptive Control of Drilling Processes, Maksim Faronov

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Computationally Efficient Modeling of Electrically Short DC Cables with Frequency-Dependent Parameters, Milad Ghazizadeh

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Emotion Detection from EEG Signals using Machine Learning Techniques, Tina Gholami

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Information-Oriented Opportunistic Mobile Crowdsensing for Enhanced Heterogeneous Small Cell Network Operation, Mozhang Guo Mr

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Anomaly Detection on Partial Point Clouds for the Purpose of Identifying Damage on the Exterior of Spacecrafts, Kaitlin T. Hutton

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PT-Net: A Multi-Model Machine Learning Approach for Smarter Next-Generation Wearable Tremor Suppression Devices for Parkinson's Disease Tremor, Anas Ibrahim

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Computationally Efficient and Passive Transmission Line Interconnect Modelling for Single and Coupled Lines, Mark Keran

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Investigation of Sensorimotor Integration and Control in Parkinson’s Disease using Haptics-enabled Robotics and Machine Learning, Yokhesh Krishnasamy Tamilselvam

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Deep Learning for Detection of Upper and Lower Body Movements, Kyle B. Lacroix

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Robust and Intelligent Management and Orchestration of Next-Generation Networks and Systems, Dimitrios Michael Manias

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Identifying Sources Of Error In Computer Navigated Total Knee Arthroplasties Using A Metric On SE(3) and Sensitivity Analyses, Nicole E. Martensson

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Online Trajectory Generation Strategies for Needle-Based Interventions, Chris Morley

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An Approach to Lunar Regolith Particle Detection and Classification using Deep Learning, Hira Nadeem

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AI Applications on Planetary Rovers, Alexis David Pascual

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Electrohydrodynamic Phenomena in Non-Equilibrium Plasmas and Electric Discharges, Afshin Shaygani

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Mechanical Subsystem Design and Space Qualification of a Dual-Sensor Multispectral Imager for Lunar Rover Applications, Jessica Theia Sia

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A Novel Method for Determining the Inherent Capabilities of Computer and Robotic-Assisted Total Knee Arthroplasty Devices, Delaney R.G. Stevens

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Towards Automated Mineral Identification in Martian rocks from X-ray Diffraction Patterns, Luke Tambakis

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Forecasting the Future Capacities of Superconducting Quantum Computers: Extending Moore's Law Through Machine Learning, Christopher Tam

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Transforming Large-Scale Virtualized Networks: Advancements in Latency Reduction, Availability Enhancement, and Security Fortification, Ibrahim Tamim

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Data-Driven Predictive Maintenance: HVAC Health Prognostics Using Power Consumption and Weather Data, Ruiqi Tian

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A Study on the Field of XR Simulation Creation, Leveraging Game Engines to Develop a VR Hospital Framework, Virat K. Tripathi

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Development of a Novel Flexible Pressure Sensor for Colonoscopes and a Multi-Modal Colonoscopy Training Environment, Anirudh Vajpeyi

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Using Machine Learning to Assist Clinicians to Diagnose Auditory Processing Disorder in Children, Hasitha Wimalarathna

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3Tier – AKA: A novel authentication using 5G communication for edge users in Cloud-Fog-Edge computing, Jiayi Zhang

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Prediction of peak energy demand and timestamping in commercial supermarkets using deep learning, Mengchen Zhao

Theses/Dissertations from 2022

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Machine Learning and Operations Research for Intelligence Engines in Future Networks, Ali Chouman

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Configuration and Sizing of Small Modular Reactor with Thermal Energy Storage within a Microgrid for Off-grid Communities, Michael W. C. Davis

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Deep Learning For Load Forecasting With Smart Meter Data: Online And Federated Learning, Mohammad Navid Fekri

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Autonomous Rock Segmentation from Lidar Point Clouds Using Machine Learning Approaches, Lauren E. Flanagan

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Evolving Deep Neural Network Architectures for Time Series Data, Santiago Vladimir Gomez Rosero

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Machine Learning with Big Data for Electrical Load Forecasting, Alexandra L'Heureux

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Design and Evaluation of Fabric Cooling Channels for Twisted Coiled Actuators, Alex Lizotte

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AI-Based Traffic Forecasting in 5G Network, Maryam Mohseni

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A Framework for Stable Robot-Environment Interaction Based on the Generalized Scattering Transformation, Kanstantsin Pachkouski

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Automated Segmentation of the Inner Ear and Round Window in Computed Tomography scans using Convolutional Neural Networks, Kyle A. Rioux

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Behavioral Biometrics-based Continuous User Authentication, Sanket Vilas Salunke

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Efficient Discovery and Utilization of Radio Information in Ultra-Dense Heterogeneous 3D Wireless Networks, Mattaka Gamage Samantha Sriyananda

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Algorithmic Improvements In Deep Reinforcement Learning, Norman L. Tasfi

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Non-Orthogonal Multi-Dimensional Modulation and Nonlinear Distortion Compensation for Beyond 5G, Thakshanth Uthayakumar

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Anonymization & Generation of Network Packet Datasets Using Deep learning, Spencer K. Vecile

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Low Overhead and Application-Oriented Synchronization in Heterogeneous Internet of Things Systems, Haide Wang

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Effective Resource Scheduling for Collaborative Computing in Edge-Assisted Internet of Things Systems, Qianqian Wang

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Optimized and Automated Machine Learning Techniques Towards IoT Data Analytics and Cybersecurity, Li Yang

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A Novel Passive Islanding Detection Method Based on Phase-Locked Loop, Hoda Zamani

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Traffic Control and Collision Resolution for Random Access in M2M Communication, Changwei Zhang

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Coexistence of Wi-Fi and 5G NR-U in the Unlicensed Band, Sara Saud Zimmo

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Photonic Crystal Edge Couplers for Sensing Applications, Michael A. Zylstra

Theses/Dissertations from 2021

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Situation-Aware Quality of Service Enhancement for Heterogeneous Ultra-Dense Wireless IoT Networks, Sabin Bhandari

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In-clinic Functional Measurement and Analysis of Knee Osteoarthritis Patients Undergoing Total Knee Replacement, Riley A. Bloomfield

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Consensus-enabled and Value-oriented Collaboration in Distributed IoT Systems: Mechanisms, Design, and Implementation, Ruitao Chen

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Real-time Parkinsonian Tremor Signal Identifier Based on Internal Model Principle, Jian Dong

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Generative Learning in Smart Grid, Samer M. El Kababji

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Deep Neural Networks For Human Activity Recognition With Wearable Sensors, Davoud Gholamiangonabadi

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Leveraging Machine Learning Techniques towards Intelligent Networking Automation, Cesar A. Gomez

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Visual Cues For Semi-autonomous Control Of Transradial Prosthetics, Mena S.A. Kamel

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Power Management and Control to Balance Residential Microgrids with Individual Phase-wise Generation and Storage, Syed Ahmed Raza Naqvi

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Mechanical Design and Development of a Compliant 5-DOF Manipulator Using Magneto-Rheological Actuators, Sergey Pisetskiy

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Precision Grasp Planning for Integrated Arm-Hand Systems, Shuwei Qiu

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Deep Learning for High-Impedance Fault Detection and Classification, Khushwant Rai

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Novel ZCS PWM Methods for Industrial Applications, Ramtin Rasoulinezhad

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Development of Control System for Open-Source Low-Cost Ventilators, Heena Shrestha

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Real-time Automated Performance Metrics for Virtual Temporal Bone Drilling, Evan S. Simpson

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An Anomaly Detection System for Smart Manufacturing Using Deep Learning, Tareq Tayeh

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Effect of Levodopa on EEG Connectivity in Parkinson's Patients, Sepehr Torab Parhiz

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Smart Chatbot For User Authentication, Peter Voege

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Edge Intelligence Enabled Distributed and Collaborative Authentication in UAV Swarms, Huanchi Wang

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Design, Development, and Evaluation of Customized Electronics for Controlling a 5-DOF Magneto-Rheological Actuator Collaborative Robot, Ziqi Yang

Theses/Dissertations from 2020

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Orthogonal Frequency Division Multiplexing System with Index Modulations for Wireless Communication, Ibrahim M Abdalla Aboharba

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DC-DC and AC-DC Converters Based on Three-Phase DC-DC Topologies, Adel Ali Abosnina

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Ontology-Driven Semantic Data Integration in Open Environment, Islam M. Ali

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Performance Evaluation, Comparison and Improvement of the Hardware Implementations of the Advanced Encryption Standard S-box, Doaa Ashmawy

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Vehicle Networks: Statistical and Game Theoretic Approaches to Their Evaluation and Design, Gleb Dubosarskii

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Intelligent Security Provisioning and Trust Management for Future Wireless Communications, He Fang

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Improving the Transient Stability of the Virtual Synchronous Generator, Kourosh Gharouni Saffar

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Edge-cloud IoT Data Analytics: Intelligence at the Edge with Deep Learning, Ananda Mohon M. Ghosh

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Optimized Machine Learning Models Towards Intelligent Systems, MohammadNoor Ahmad Mohammad Injadat

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Synchrophasor Based Islanding & Open phase fault Protection in Distribution Systems, Mansour Jalali

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Analytic Delay Model of RLC Interconnects using Numerical Inversion of the Laplace Transform, Yu Jiang

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Intelligent and Low Overhead Network Synchronization over Large-Scale Industrial Internet of Things Systems, Pengyi Jia

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Protecting Health Data in a Pandemic: A Systematic Adversarial Threat Analysis of Contact Tracing Apps, Leah Krehling

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Intelligent and Efficient Ultra-Dense Heterogeneous Networks for 5G and Beyond, Yanan Liu

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Hyperspectral Image Classification for Remote Sensing, Hadis Madani