Faculty of Engineering & Applied Science
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The Faculty of Engineering & Applied Science (FEAS) offers accredited undergraduate and graduate programs as well as completes research in engineering and applied science. Areas of focus include autonomous vehicle design, electric and hybrid vehicles, robotics and automation, cloud computing, electric and autonomous vehicles, clean energy, artificial intelligence, robotics, automation, and intelligent controls, thermo-fluids, and energy systems.
Collections in this community
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Doctoral Dissertations [129]
Doctoral Dissertations (FEAS) -
Faculty Publications [0]
Faculty Publications (FEAS Open Access) -
Letter to a Young Engineer [5]
Letter to a Young Engineer (FEAS) -
Master Theses & Projects [420]
Master Theses & Projects (FEAS) -
Student Papers [3]
Student Papers (FEAS)
Recent Submissions
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Design synthesis of NLMPC-based tracking controller for autonomous vehicles with active aerodynamic control
(2022-12-01)The past three decades have witnessed extensive studies on tracking-control for autonomous vehicles (AVs). However, there is a lack of studies on effective design methods in this field. To tackle this problem, this thesis ... -
Defect detection using 3D computed tomography images and application on nuclear power plants
(2022-12-01)Tools used in nuclear power plant (NPP) inspection are required to be inspected before and after use on a reactor to check their integrity. To address the long duration required for manual inspection, non-destructive testing ... -
Comparative economic analysis of conventional and plug-in battery electric vehicles in Canada
(2022-12-01)Conventional vehicles typically use gasoline for their internal combustion engines (ICEs). On the other hand, plug-in battery electric vehicles (PBEVs) use electricity to charge their batteries, so they do not need gasoline. ... -
Development of a point-kinetics simulator for molten-salt reactors
(2022-08-01)Molten-salt-fueled reactors (MSRs) are nuclear fission reactors that use a mixture of fissile material and molten fluoride salts as both fuel and primary coolant. Such reactors, which can operate at low pressure and high ... -
Collision detection in smart-cities by using co-simulation
(2022-11-01)Road traffic has become prominent in everyday living, impacting or disrupting services to people and daily routines. With the rise in automobile manufacturing and the frequency of vehicle crashes, human catastrophes, like ... -
Random Forest-based detection of cyber-attacks in substation automation systems in the context of IEC 61850 GOOSE communication protocol
(2022-12-01)The development of the Smart Grid aims to improve the operation of the traditional grid through the incorporation of information and communication technology. This is typically done through the integration of communication ... -
Impact assessment and mitigation of the effect of cyber-physical attacks on the electric vehicles high-power fast charging stations considering open charge point protocol
(2022-12-01)Electric Vehicles are on the rise worldwide, and the increasing demand also increases the need for High Power Fast Charging Stations. The deployment of such charging stations dictates the establishment of information and ... -
A novel deep learning architecture and large-scale benchmark for robust object detection in traffic surveillance and analysis
(2022-12-01)Upstream technologies such as traffic surveillance provide helpful information to downstream intelligent transportation systems intending to improve the safety, mobility, and efficiency of road-users whilst reducing their ... -
Optimized clean hydrogen production using nuclear small modular reactor and concentrated solar power as a renewable energy source
(2022-12-01)According to current predictions, hydrogen will serve as a key fuel and energy source by decreasing greenhouse gas (GHG) emissions. In this research an integral Pressurized Water Reactor-type Small Modular Reactor (iPWR-type ... -
Flow characteristics and acoustic resonance excitation of finned cylinders in cross-flow
(2022-12-01)The flow characteristics and acoustic resonance excitation of bare and finned cylinders of different arrangements in cross-flow were experimentally investigated. In the design phase of finned tube heat exchangers, finned ... -
Manipulator’s configuration design, excavation path generation, and underground object detection for an autonomous electric excavator
(2022-12-01)Construction is an industrial sector that requires high labor costs and is exposed to harsh and hazardous environmental conditions. As a solution to these problems, an autonomous excavator is expected in high demand. To ... -
Incremental learning algorithm for anomaly detection applied to computed tomography scans in nuclear industry
(2022-12-01)During routine nuclear power plant (NPP) inspection, each maintenance tool is inspected manually before and after use on a nuclear reactor. This could result in long inspection duration (up to months), time, and resource ... -
Lateral stability analysis and MPC tracking control for articulated heavy vehicles
(2022-10-01)Articulated heavy vehicles (AHVs) exhibit poor maneuverability during curved-path negotiations and low lateral stability under high-speed evasive maneuvers, which may lead to unstable motion modes, e.g., trailer-sway and ... -
Improving cold climate performance of heat pumps using market-available systems
(2022-10-01)Air source heat pumps are an excellent electric alternative to fossil fuel based heating systems for reducing residential greenhouse gas (GHG) emissions, but common mild climate systems suffer significant performance losses ... -
Microreactor for remote Canadian communities
(2022-11-01)Remote Canadian communities rely on diesel generators for their electricity needs. Providing such generators with fuel year-round presents challenges because of inclement weather and long transportation distances involved. ... -
A real-time 12-lead electrocardiogram remote patient monitoring and analytics framework
(2022-10-01)This work presents XBeats: A machine learning-based framework for real-time electrocardiogram monitoring and analysis that uses edge computing and data analytics for early anomaly detection. The framework encompasses a ... -
Development of a method for genetic optimization of aerodynamic devices
(2021-06-01)Driving stability, fuel efficiency and soiling reduction are important for modern vehicles. This thesis has developed a novel method for genetic optimization of aerodynamic devices for road vehicle applications with the ... -
Design and development of an autonomous flying excavator platform using a drone
(2022-09-01)In this research, a drone-based excavation platform prototype is presented with the primary goals of balancing stability during excavation, sensing, and excavating the soil pile autonomously without human intervention. ... -
A supervised machine learning-based framework to detect low-level fault injections in software systems
(2022-08-01)Fault injection attacks inject faults into system components, inducing abnormal software behavior. Software vulnerability analysis cannot prevent new attack vectors without software modifications. Attack detection methods ... -
Design of broad-band dual-polarized microstrip patch antennas with high port isolation for millimeter-wave 5G applications
(2021-01-01)In this thesis, multiple broadband dual linearly polarized antennas are designed covering the frequency band for the next generation of 5G communications around 28 GHz. Dual polarization antennas are employed to increase ...