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 [149]
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 [463]
Master Theses & Projects (FEAS) -
Student Papers [3]
Student Papers (FEAS)
Recent Submissions
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Development and validation of scaled electric combat vehicle virtual model
(2023-11-01)This research focuses on an 8x8 scaled electric combat vehicle (SECV) and aims to create a virtual model made of the same vehicle on a vehicle dynamics simulation software using parameters from the actual vehicle. In the ... -
Categories in control systems software: toward a unified theory of programming & control
(2023-12-01)Category theory is applied to the design and modeling of control systems application software with emphasis on feedback control. The language of application is iso standard C++17, though the design is abstract and can be ... -
Filtering antennas based on rectangular dielectric resonators
(2023-12-01)Filters and antennas are essential components in communication systems. Being able to simultaneously realize filter and radiation functions, filtering antennas have attracted much attention due to their compactness and low ... -
A universal centralized protection scheme for feeders of AC microgrids using IEC-61869-9 digital instrument transformers
(2023-10-01)This thesis underscores the escalating importance of microgrids powered by renewable energy sources and inverters in modern power systems. Despite offering significant environmental and economic advantages, their decentralized ... -
Development and analysis of thermal management strategies to improve Lithium-ion battery performance
(2024-01-01)The transportation industry contributes more than a quarter of the global greenhouse gas emissions and transportation electrification was introduced as a means to decarbonize the industry. One of the major challenges related ... -
Electroforming of personalized miniature metal parts using additively manufactured molds
(2023-12-01)In response to evolving manufacturing trends favoring personalized, small-batch production, this thesis centers on the development of additively manufactured molds to facilitate the electroforming of personalized metal ... -
Investigation of signal shape effects on the gas film in spark-assisted chemical engraving
(2023-12-01)Spark-Assisted Chemical Engraving (SACE) is a promising method for machining glass micro-parts and devices. However, intricate control requirements linked to the gas film surrounding the tool present a significant challenge ... -
Improving binary optimization algorithms using genuine uniform initialization
(2023-12-01)Population-based metaheuristic algorithms play a crucial role in solving complex optimization problems. The effectiveness of these algorithms is significantly influenced by the initial population of candidate solutions. ... -
The design and development of a Spark Assisted Chemical Engraving system with force feedback control
(2023-12-01)Spark Assisted Chemical Engraving is a hybrid micromachining method capable of machining micro-holes and micro-channels on non-conductive substrates. This thesis centers around the design of a mechatronics system for ... -
Poisson Distribution based algorithm to reduce grid harmonics caused by EV chargers
(2023-12-01)The global market of electric vehicles (EVs) is growing rapidly because of several factors such as growing concerns for pollution, governmental incentives/subsidies and regulations and consumers’ increasing interest in ... -
Spectrum sharing for multi-user massive MIMO networks
(2023-12-01)In this dissertation, we propose a creative approach to advance 5G network technologies by investigating the impact of employing an underlay spectrum sharing (USS) scheme on the performance of two massive multi-input-multi-output ... -
Deep learning models for defect and anomaly detection on industrial surfaces
(2023-12-01)Automated quality control is essential across various industries to reduce manual inspection and improve operational efficiency. While there are advances in computer vision and machine learning for defect detection, ... -
Design and development of a context-aware collaborative autonomous real-time vehicle systems framework
(2023-11-01)The increasing autonomy of intelligent systems, with applications extending from self-driving vehicles to home-based robots, has emerged as a critical area of focus in modern research. Yet, to acknowledge the full potential ... -
Design and development of reusable feature-based next-generation embedded software
(2023-12-01)The emergence of next-generation embedded systems, emphasized by their shortened life cycles, necessitates an urgent shift towards agile software design and development. The objective is to achieve timely product delivery ... -
Enhancing meta-heuristic algorithms using center-based sampling at population level
(2023-11-01)In recent years, center-based sampling has demonstrated impressive results to enhance the efficiency and effectiveness of meta-heuristic algorithms. The strategy of center-based sampling can be utilized at either the ... -
Development of an automated industrial painting system with optimized quality and energy consumption
(2023-10-01)Paint application is vital for product durability and aesthetics, whether done manually or by precise robotic systems. Manual work is error-prone and risky, while robots offer accuracy. However, programming robot trajectories ... -
Fault detection design for three-phase voltage source inverter in power train applications
(2023-12-01)This thesis is dedicated to an extensive exploration of fault detection methods tailored specifically for three-phase inverters, critical components within the propulsion systems of Electric Vehicles (EVs) and drive systems ... -
Investigation of integrated energy systems with carbon capturing and chemical looping units for hydrogen, methane and methanol production
(2023-11-01)This study investigates three multigeneration systems designed for hydrogen generation through chemical looping, incorporating an amine-based carbon dioxide capture subsystem. These systems consist of a solar tower heating ... -
A proof of principle nuclear forensics technique for determining ²³⁵U enrichment from UF₆ steel cylinders
(2023-12-01)Non-proliferation of nuclear materials depends on international regulations and the inspection tools available to safeguard inspectors for ensuring adherence to international treaties such as the Non-Proliferation Treaty ... -
Sidewalk extraction using deep learning and cost-based route optimization with mini-max objective function
(2023-12-01)With the growing diversification of modern urban transportation options, such as small-scale autonomous delivery vehicles, autonomous patrol robots, e-bikes, and e-scooters, sidewalks have gained newfound importance as ...