Doctoral Dissertations
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Leveraging vehicular cloud computing through location and request prediction
(2023-04-01)In recent years, the implementation of Vehicular Ad-hoc networks (VANET) has been acknowledged as a promising solution for monitoring road conditions. Despite the many benefits they can bring to society, the growing demand ... -
Integrated traffic analysis and visualization for future road events
(2023-04-01)The existing traffic simulation methods are limited to specific synthetic scenarios. In addition, the natural structure of traffic and accident data requires modeling the dependent observations on multiple levels. Therefore, ... -
Agent-based modeling framework for adaptive cyber defence of the Internet of Things
(2022-12-01)The adoption of the Internet of Things (IoT) continues to increase significantly, introducing unique challenges and threats to cybersecurity. In parallel, adaptive and autonomous cyber defence has become an emerging research ... -
Molecular dynamics simulations and neural network solutions for applications in biophysics
(2022-12-01)As computing resources evolved and became more accessible over time, much of scientific research shifted towards utilizing computational techniques. In particular, biophysics is a field of science that has continually ... -
Synthesis, characterization and biological investigation of self-delivering and modified short interfering RNAs (siRNAs)
(2021-07-01)Aberrant gene expression is a hallmark of disease, so it is of great interest to develop targeted therapies that provide a means to regulate gene expression. The RNA interference pathway serves as a natural defense system ... -
Calculating thermochemical equilibrium for multiphysics simulations of nuclear materials : development of yellowjacket gibbs energy minimiser
(2022-11-01)Nuclear fuels and structural materials are highly complex systems that are remarkably challenging to understand and model. Material behaviours are influenced by multiple physical phenomena such as mechanics, chemistry, ... -
A privacy preservation framework for smart connected toys
(2019-09-01)Advances within the toy industry and interconnectedness have resulted in the rapid and pervasive development of Smart Connected Toys (SCTs), built to aid children in learning, socialization, and development. A SCT is a ... -
The analysis of the entomological and chemical decomposition of human remains to ultimately assess the viability of the domestic pig as a substitute in forensic applications
(2022-09-01)Death investigations often rely on the minimum post mortem interval (minPMI) estimations provided by forensic entomologists. The models accepted by courts in Canada are not based on research involving humans but rather on ... -
Forward and reverse genetic approaches to investigate cellulose biosynthesis in Physcomitrium patens
(2021-04-01)Cellulose biosynthesis is a common feature of land plants and involves multimeric complexes composed of cellulose synthase A (CESA) proteins and other structural proteins. The exact stoichiometry of CESA proteins and ... -
Assessing nearshore water quality and biological condition in the Kawartha Lakes using a community science approach
(2022-08-01)The Kawartha Lakes, located in south-central Ontario, are a popular tourist destination, with a growing permanent resident population. Consequently, land development in its watersheds continues, and the specific land-use ... -
Opportunities for the deep neural network method of solving partial differential equations in the computational study of biomolecules driven through periodic geometries
(2022-08-01)As deep learning emerged in the 2010s to become a groundbreaking technology in machine vision and natural language processing, it also ushered in many new algorithms for use in scientific research. Among these is the neural ... -
Impact of neck muscle fatigue on upper limb sensorimotor integration
(2019-08-01)Neck muscles have a high density of sensory receptors which project to the central nervous system, and have important role in sensory motor integration (SMI). The cerebellum is important for SMI and it is known to undergo ... -
Functionalized carbon surfaces for clean electrochemical energy systems
(2022-03-01)The development and implementation of clean energy technologies is the way to overcome the global energy crisis and reduce pollution. Therefore, new energy solutions are rapidly needed. Fuel cells (FCs) may become one such ... -
Towards a computational model of information trust
(2022-02-01)Information has been an essential element in the development of collaborative and cooperative frameworks. From decision making to the attainment of different goals, people have been relatively adept at making judgments ... -
Development and characterization of chemical modifications for siRNA strand selection
(2021-12-01)Small interfering RNA (siRNA) are non-coding, double-stranded RNA that enable efficient gene silencing through RNA interference (RNAi) mechanisms. The primary effector of RNAi is an RNA-guided nuclease, Ago2, which selects ... -
Immunomodulatory activity of Lacticaseibacillus rhamnosus R0011: analysis of secretome-mediated impacts on innate immune outcomes in intestinal epithelial cells and antigen presenting cells
(2021-12-01)Certain lactic acid bacteria (LAB), such as Lacticaseibacillus rhamnosus R0011, are associated with immune modulatory activities including down-regulation of pro-inflammatory gene transcription and expression. While host ... -
A modular interface framework for multimodal annotations and visualizations in Human-AI collaboration
(2021-07-01)Modular is a web-based annotation, visualization, and inference software plat-form for computational language and vision research. The platform enables researchers to set up an interface for efficiently annotating language ... -
Monolayer terpyridyl metal complexes for high-efficiency electrochromic materials
(2021-08-01)Electrochromic materials (ECMs) can change their color with changes of applied electrochemical potential. Currently, the use of ECMs in the industry is limited to mainly inorganic metal oxides, conjugated conducting polymers, ... -
A deep learning approach to focal cortical dysplasia segmentation in children with medically intractable epilepsy
(2021-08-01)Paediatric epilepsy is one of the most common neurological disorders and has major impact on the cognition and quality of life of children. Focal Cortical Dysplasia (FCD) is one of the most common causes of medically ... -
Investigating the distribution of Nitellopsis obtusa in Ontario Lakes and its role as an ecosystem engineer
(2021-08-01)Nitellopsis obtusa is a non-native macrophyte introduced into the Laurentian Great Lakes in 1974. Over the last decade, increasing reports emerged for N. obtusa within lakes in the Great Lakes Basin. Despite N. obtusa being ...