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
Theses/Dissertations from 2023
Cluster-based Station Reporting and Multi-AP Coordination in Wi-Fi Networks, zeyad abdelmageid
Enhancing the Performance of NMT Models Using the Data-Based Domain Adaptation Technique for Patent Translation, Maimoonah Ahmed
Exploration of Force in Movement and Perception in Parkinson’s Disease, Caroline Stefanie Aitken
Deep Reinforcement Learning for Autonomous Unmanned Aerial Vehicle Navigation, Fadi AlMahamid
Computer Vision-Based Hand Tracking and 3D Reconstruction as a Human-Computer Input Modality with Clinical Application, Tania Banerjee
Continuous Authentication in the Digital Age: An Analysis of Reinforcement Learning and Behavioural Biometrics, Priya Bansal
Developing and testing a miniaturized in situ XRD for a Mars rover, Dana Michael Beaton
Automatic Classification and Segmentation of Patterned Martian Ground Using Deep Learning Techniques, Ruthy Brito
Intelligent Automation Solutions for Network Management and Security in 5G Networks: A Study on AutoML and Digital Twins, Mirna El Rajab
A Novel Two-Stage AC-DC Power Converter with Partial Power Processing, Mina Fakhri
Nonlinear Adaptive Control of Drilling Processes, Maksim Faronov
Computationally Efficient Modeling of Electrically Short DC Cables with Frequency-Dependent Parameters, Milad Ghazizadeh
Emotion Detection from EEG Signals using Machine Learning Techniques, Tina Gholami
Anomaly Detection on Partial Point Clouds for the Purpose of Identifying Damage on the Exterior of Spacecrafts, Kaitlin T. Hutton
Investigation of Sensorimotor Integration and Control in Parkinson’s Disease using Haptics-enabled Robotics and Machine Learning, Yokhesh Krishnasamy Tamilselvam
Deep Learning for Detection of Upper and Lower Body Movements, Kyle B. Lacroix
Robust and Intelligent Management and Orchestration of Next-Generation Networks and Systems, Dimitrios Michael Manias
Identifying Sources Of Error In Computer Navigated Total Knee Arthroplasties Using A Metric On SE(3) and Sensitivity Analyses, Nicole E. Martensson
Online Trajectory Generation Strategies for Needle-Based Interventions, Chris Morley
An Approach to Lunar Regolith Particle Detection and Classification using Deep Learning, Hira Nadeem
AI Applications on Planetary Rovers, Alexis David Pascual
A Novel Method for Determining the Inherent Capabilities of Computer and Robotic-Assisted Total Knee Arthroplasty Devices, Delaney R.G. Stevens
Towards Automated Mineral Identification in Martian rocks from X-ray Diffraction Patterns, Luke Tambakis
Forecasting the Future Capacities of Superconducting Quantum Computers: Extending Moore's Law Through Machine Learning, Christopher Tam
Transforming Large-Scale Virtualized Networks: Advancements in Latency Reduction, Availability Enhancement, and Security Fortification, Ibrahim Tamim
Data-Driven Predictive Maintenance: HVAC Health Prognostics Using Power Consumption and Weather Data, Ruiqi Tian
Using Machine Learning to Assist Clinicians to Diagnose Auditory Processing Disorder in Children, Hasitha Wimalarathna
Prediction of peak energy demand and timestamping in commercial supermarkets using deep learning, Mengchen Zhao
Theses/Dissertations from 2022
Machine Learning and Operations Research for Intelligence Engines in Future Networks, Ali Chouman
Configuration and Sizing of Small Modular Reactor with Thermal Energy Storage within a Microgrid for Off-grid Communities, Michael W. C. Davis
Deep Learning For Load Forecasting With Smart Meter Data: Online And Federated Learning, Mohammad Navid Fekri
Autonomous Rock Segmentation from Lidar Point Clouds Using Machine Learning Approaches, Lauren E. Flanagan
Evolving Deep Neural Network Architectures for Time Series Data, Santiago Vladimir Gomez Rosero
Machine Learning with Big Data for Electrical Load Forecasting, Alexandra L'Heureux
Design and Evaluation of Fabric Cooling Channels for Twisted Coiled Actuators, Alex Lizotte
AI-Based Traffic Forecasting in 5G Network, Maryam Mohseni
A Framework for Stable Robot-Environment Interaction Based on the Generalized Scattering Transformation, Kanstantsin Pachkouski
Automated Segmentation of the Inner Ear and Round Window in Computed Tomography scans using Convolutional Neural Networks, Kyle A. Rioux
Behavioral Biometrics-based Continuous User Authentication, Sanket Vilas Salunke
Efficient Discovery and Utilization of Radio Information in Ultra-Dense Heterogeneous 3D Wireless Networks, Mattaka Gamage Samantha Sriyananda
Algorithmic Improvements In Deep Reinforcement Learning, Norman L. Tasfi
Non-Orthogonal Multi-Dimensional Modulation and Nonlinear Distortion Compensation for Beyond 5G, Thakshanth Uthayakumar
Anonymization & Generation of Network Packet Datasets Using Deep learning, Spencer K. Vecile
Low Overhead and Application-Oriented Synchronization in Heterogeneous Internet of Things Systems, Haide Wang
Effective Resource Scheduling for Collaborative Computing in Edge-Assisted Internet of Things Systems, Qianqian Wang
Optimized and Automated Machine Learning Techniques Towards IoT Data Analytics and Cybersecurity, Li Yang
A Novel Passive Islanding Detection Method Based on Phase-Locked Loop, Hoda Zamani
Traffic Control and Collision Resolution for Random Access in M2M Communication, Changwei Zhang
Coexistence of Wi-Fi and 5G NR-U in the Unlicensed Band, Sara Saud Zimmo
Photonic Crystal Edge Couplers for Sensing Applications, Michael A. Zylstra
Theses/Dissertations from 2021
Situation-Aware Quality of Service Enhancement for Heterogeneous Ultra-Dense Wireless IoT Networks, Sabin Bhandari
In-clinic Functional Measurement and Analysis of Knee Osteoarthritis Patients Undergoing Total Knee Replacement, Riley A. Bloomfield
Consensus-enabled and Value-oriented Collaboration in Distributed IoT Systems: Mechanisms, Design, and Implementation, Ruitao Chen
Real-time Parkinsonian Tremor Signal Identifier Based on Internal Model Principle, Jian Dong
Generative Learning in Smart Grid, Samer M. El Kababji
Deep Neural Networks For Human Activity Recognition With Wearable Sensors, Davoud Gholamiangonabadi
Leveraging Machine Learning Techniques towards Intelligent Networking Automation, Cesar A. Gomez
Visual Cues For Semi-autonomous Control Of Transradial Prosthetics, Mena S.A. Kamel
Power Management and Control to Balance Residential Microgrids with Individual Phase-wise Generation and Storage, Syed Ahmed Raza Naqvi
Mechanical Design and Development of a Compliant 5-DOF Manipulator Using Magneto-Rheological Actuators, Sergey Pisetskiy
Precision Grasp Planning for Integrated Arm-Hand Systems, Shuwei Qiu
Deep Learning for High-Impedance Fault Detection and Classification, Khushwant Rai
Novel ZCS PWM Methods for Industrial Applications, Ramtin Rasoulinezhad
Development of Control System for Open-Source Low-Cost Ventilators, Heena Shrestha
Real-time Automated Performance Metrics for Virtual Temporal Bone Drilling, Evan S. Simpson
An Anomaly Detection System for Smart Manufacturing Using Deep Learning, Tareq Tayeh
Effect of Levodopa on EEG Connectivity in Parkinson's Patients, Sepehr Torab Parhiz
Smart Chatbot For User Authentication, Peter Voege
Edge Intelligence Enabled Distributed and Collaborative Authentication in UAV Swarms, Huanchi Wang
Theses/Dissertations from 2020
Orthogonal Frequency Division Multiplexing System with Index Modulations for Wireless Communication, Ibrahim M Abdalla Aboharba
DC-DC and AC-DC Converters Based on Three-Phase DC-DC Topologies, Adel Ali Abosnina
Ontology-Driven Semantic Data Integration in Open Environment, Islam M. Ali
Performance Evaluation, Comparison and Improvement of the Hardware Implementations of the Advanced Encryption Standard S-box, Doaa Ashmawy
Vehicle Networks: Statistical and Game Theoretic Approaches to Their Evaluation and Design, Gleb Dubosarskii
Intelligent Security Provisioning and Trust Management for Future Wireless Communications, He Fang
Improving the Transient Stability of the Virtual Synchronous Generator, Kourosh Gharouni Saffar
Edge-cloud IoT Data Analytics: Intelligence at the Edge with Deep Learning, Ananda Mohon M. Ghosh
Optimized Machine Learning Models Towards Intelligent Systems, MohammadNoor Ahmad Mohammad Injadat
Synchrophasor Based Islanding & Open phase fault Protection in Distribution Systems, Mansour Jalali
Analytic Delay Model of RLC Interconnects using Numerical Inversion of the Laplace Transform, Yu Jiang
Intelligent and Low Overhead Network Synchronization over Large-Scale Industrial Internet of Things Systems, Pengyi Jia
Protecting Health Data in a Pandemic: A Systematic Adversarial Threat Analysis of Contact Tracing Apps, Leah Krehling
Intelligent and Efficient Ultra-Dense Heterogeneous Networks for 5G and Beyond, Yanan Liu
Hyperspectral Image Classification for Remote Sensing, Hadis Madani
Longitudinal Partitioning Waveform Relaxation Methods For The Analysis of Transmission Line Circuits, Tarik Menkad
Radiometric Correction of MultiSpectral Cameras Using Photosensor Irradiance for Agronomy Applications, Nicholas S. Mitchell
Characterization and Control of a Woven Biomimetic Actuator for Wearable Neurorehabilitative Devices, Vaughan K. Murphy
A New Approach for Homomorphic Encryption with Secure Function Evaluation on Genomic Data, Mounika Pratapa
Efficient Hardware Architectures For Public-key Cryptosystems, Mohammadamin Saburruhmonfared
Novel Estimation and Detection Techniques for 5G Networks, Anas Saci
Network Resource and Performance Optimization in Autonomous Systems: A Connected Vehicles and Autonomous Networks Perspective, Ibrahim Shaer
Terramechanics and Machine Learning for the Characterization of Terrain, Bryan W. Southwell
Towards Efficient and Secure IIoT: Solutions for the Sensing Domain, Elena Uchiteleva
Deep Learning on Smart Meter Data: Non-Intrusive Load Monitoring and Stealthy Black-Box Attacks, Junfei Wang
Modeling and Simulation of Concentric and Eccentric Tube Continuum Robots, Lexuan Wang
Geometric State Observers for Autonomous Navigation Systems, Miaomiao Wang
An Investigation of the Interleaved Operation of a Stacked AC-DC Single-Stage Flyback Converter, Mengkai Xiong
Theses/Dissertations from 2019
Design and Implementation of Anomaly Detections for User Authentication Framework, Iman Abu Sulayman