Electrical and Computer Engineering, Department of
The Department of Electrical and Computer Engineering prides itself on the excellence of both teaching and research, as well as the strong connection that we have with its students.
This community includes research outputs produced by faculty and students. Submitting works to QSpace may enable compliance with the Tri-Agency Open Access Policy on Publications.
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Recent Submissions
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Developing Better Models for Dialogue Threads and Responses
In this thesis, we focus on developing machine learning algorithms to model human dialogues and conversations by investigating three basic tasks. We first study the development of retrieval-based chatbots, in which the ... -
A One Shot Method For Estimating The Two Parameter Division Model Of Lens Radial Distortion Based On The Direct Linear Transformation
Many computer vision algorithms assume a pinhole camera model, but commercial and off-the-shelf cameras usually exhibit enough lens distortion to violate this model. There are many methods that have been proposed to estimate ... -
DeepSkin: Mobile-based Skin Quality Assessment with Deep Learning
We present a novel skin quality assessment system with the goal of improving skin care. This system leverages digital dermoscopy and consists of hardware, software, and a machine learning component to automate the process ... -
Carbon Nanotube Polymer Composite Based Electrodes with Ability to Adhere to Hairy Skin for Application in Electrophysiological Sensing
Biopotential recordings such as electroencephalogram (EEG) and electrocardiogram (ECG) measurements have applications in medical diagnosis, health care, human-machine interface, entertainment, etc. Electrodes are an important ... -
Hybrid Distributed Stochastic Gradient Descent for Federated Learning
With the advancement of information technology in the past decades, the world embraces the era of 'Big Data', in which large volumes of data are being produced in high velocity, while there is an increasing demand in ... -
System Design and Performance Study for Wireless Information and Energy Transfer in the Internet of Things
In a tremendous evolution, billions of physical objects are being connected to the Internet, shaping Internet of Things (IoT) as one of the most disruptive technologies that has ever been witnessed. This revolutionary ... -
Frequency Domain Modelling & Design of an LCC Resonant Converter with Capacitive Output Filter
Resonant DC-DC converters have been widely discussed with one of the most popular being the LCC topology. It’s application towards low to high voltage converters warrants the use of a capacitive output filter to limit the ... -
Multi-Sensor Fusion of Automotive Radar and Onboard Motion Sensors for Seamless Land Vehicle Positioning in Challenging Environments
Positioning services for land vehicle navigation have long relied on global navigation satellite systems (GNSS) including GPS; however, GNSS cannot maintain an accurate position while travelling under bridges, around tall ... -
Analysis of the Utilization of Mobile Network Base Stations Using Traffic Load Predictions
Every day, mobile network traffic is increasing in an unprecedented manner all over the world, resulting in growing demand from the network operators to deploy more base stations in order to be able to serve more devices ... -
4G LTE Network Data Collection and Analysis Along Public Transportation Routes
With the advancements in wireless network technologies over the past few decades and the deployment of 4G LTE networks, the capabilities and services provided to end-users have become seemingly endless. Users of smartphones ... -
Multi-Sensor Based Land Vehicles’ Positioning in Challenging GNSS Environments
The car industry has a growing demand for reliable, continuous, and accurate positioning information for various applications, including routing to a specific destination, asset tracking, and, eventually future self-driving. ... -
Self-supervised ECG Representation Learning for Affective Computing
This work investigates the use of self-supervised learning for ECG-based affective computing. We propose a novel self-supervised ECG representation learning framework to address the limitations of fully-supervised learning. ... -
Technologies to improve power density of power electronic systems
Advanced power electronic supplies with high power density are strongly demanded in a wide range of power levels. This thesis proposes high power density and thermal management solutions for three levels of power system ... -
An Approach to Represent and Transform Application Specific Constraints for an Intrusion Detection System.
While the need for newer and more efficient network security techniques is increasing, refining the existing and proven techniques can also have potential benefits and outcomes. One of the aspects of such improvements in ... -
Novel Current Sensor-less MPPT Algorithm for Solar Applications
This thesis presents a novel Maximum Power Point Tracking (MPPT) technique for photovoltaic (PV) solar panels. The proposed method eliminates the need for current sensing by injecting high-frequency perturbations and ... -
A Time-Domain Modeling of Multi-Element Resonant Converter With Capacitive Output Filter
In this thesis, an analytical based design tool has been proposed for the multi-elements resonant converters. A computer program has been written using the generalized equations in MATLAB App Designer. The MATLAB App ... -
Electrical and Thermal Design of High Efficiency and High Power Density Power Converters
This thesis investigates high power density power converters from two approaches: electrical circuit and module design, and thermal management and mitigation. Three specific topics are studied in this thesis: Point-of-Load ... -
Robust Multisensor-based Framework for Efficient Road Information Services
Next-generation intelligent transportation systems of future road traffic monitoring will be required to provide reports of road conditions. Monitoring road surface conditions benefits drivers and the community. Road surface ... -
Velocity Acquisition Methods for Stable Haptic Simulation Systems
Haptic simulation systems enable the perception of virtual environments through the sense of touch. These systems are composed of a haptic device through which an operator interacts with the virtual environment that is ... -
Multifunction Radio Frequency System Design Using Nonlinear Models
Multifunction radio frequency (RF) systems provide a general-purpose hardware platform for designers to implement arbitrary waveform transmission and reception. In this thesis, a multifunction RF transceiver is designed, ...
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