Lobed Mixer and Inter-Turbine Duct Aerodynamics

The intern will assess computer-based simulation tools used by a leading Canadian aerospace organization to determine the accuracy of these tools. Specifically, the objective is to establish the extent to which these engineering tools can be used to capture the performance benefits of novel aerodynamic design strategies recently developed at Carleton University for aerodynamic shaping of inter-turbine ducts and compact exhaust diffusers, which are two components used on gas-turbine engines.

Computer Vision for Autonomous Spacecraft Docking

Current spacecraft docking systems are expensive, large, and require a high-power draw due to the sensors used such as Radar or Lidar. A vision-based spacecraft docking system is proposed to enable the use of lightweight, inexpensive, and less power-intensive optical sensors when compared to Lidar and Radar, and vastly improve upon existing systems. This project seeks to research and implement a combination of classical techniques and modern artificial intelligence methods to overcome the harsh lighting conditions of the space environment which reduces the reliability of vision-based systems.

Guidance, Navigation, and Control for Autonomous Spacecraft Docking

Current spacecraft rendezvous, proximity operations, and docking systems typically rely on human-monitored or controlled Guidance, Navigation, and Control (GNC) systems. This project focuses on an autonomous GNC system specifically for spacecraft rendezvous, proximity operations, and docking applications. Autonomous systems are advantageous as they allow for operation without human intervention, do not rely on intermittent communication windows, work in highly challenging environments (i.e. around the Moon or Mars), and are highly scalable.

Development and implementation of an Edge AI IoT device with domain specific architecture to support multi-modal sensing in energy auditing

Costs are continually declining for internet connected devices, known as the internet-of-things (IoT), offering solutions across various consumer, commercial and industrial applications. Concurrently, machine learning (ML) models are continually expanding their deployment platforms, from massive central servers down to microcomputers. Innovative IoT devices will run the ML models without support from central data centers or other computers.

Implementation of the Post-Quantum Cryptographic Algorithm: Multivariate Polynomial Public Key (MPPK)

The Multivariate Polynomial Digital Signature Scheme (MPPK-DS) is a new Post-Quantum cryptographic scheme that relies on the hardness of solving a set of multivariate polynomials. The scheme is an ideal candidate for the new NIST call for Post-Quantum digital signature algorithms that intents to diversify the post-quantum signature standards. In this project, we will work on proposing an optimized implementation for MPPK-DS on both ARM Cortex M4 as well as ARM Cortex M0 processors and present its benchmarking results from speed and memory perspectives.

Scaling Up Trauma- and Violence-Informed Physical Activity for Mental Health and Well-being

Despite the overwhelming evidence that physical activity promotes overall positive health, there are limited trauma-and-violence-informed health promotion strategies directed towards equity-owed populations. Women experiencing multiple marginalization’s face numerous barriers to participation in physical activity and are at higher risk for negative health outcomes.

Aluminum and water process for sustainable cogeneration hydrogen, high-purity alumina and heat

There is an urgent need for carbon free sources of energy to mitigate the climate change effects. Hydrogen is a very promising fuel to transition to climate-friendly energy and sustainable energy future. However, most hydrogen is produced from carbon sources and thus undesired emissions are unavoidable during the production. One key solution is to use extract hydrogen by reacting metal powders with water. In this research, aluminum and iron powders are used to cogenerate hydrogen and high-purity alumina in a carbon neutral process.

Building a ‘youth operating system’: Security, safety, inclusivity, and digital platform possibilities for youth-centred social innovation

The research proposed here will explore core issues, risks, and limitations to direct the design and development of a ‘youth
operating system’ (YOS) centred on providing a safe, secure, privacy-preserving, and inclusive multi-featured online
environment for youth.

Designing and Prototyping an Isolated Three-Stage GaN-Based Bidirectional 6.6 kW On-Board Charger (OBC)

Galium Nitride (GaN) technology compared to the conventional silicon and silicon carbide technologies gives better switching performance in terms of switching losses and switching speed. Also, since GaN Fets do not have intrinsic body diode as in Si and SiC based switching MOSFETS, they can work at much higher frequencies in room temperature, leading to using more compact passive components for power electronics devices. Production of bidirectional onboard chargers (OBC) are boosted due to the increasing demand for electric vehicles. GaN Systems Inc.

Innovation, Design, and Development of a Novel Snoring and Obstructive Sleep Apnea Prevention Device

Sleep-related breathing disorders, such as obstructive sleep apnea, can be life threatening. Although solutions
exist to treat these disorders, like Continuous Positive Airway Pressure (CPAP) and oral appliances including
Mandibular Advancement Devices (MADs), there are several issues relating to cost, comfort, and convenience
with the products that are on the market today.