Process modeling of compression moulding with sheet moulding compound (SMC) for automotive hollow parts

To reduce the weidht of cars in order to reduce greenhouse gas emissions, the automotive industry has recently been turning to the extensive use of composite materials for structural applications. Magna Exteriors Inc (MEI), a world leader tier 1 automotive supplier and a division of Magna International Inc, is seeking ways to develop a new high-volume manufacturing process for hollow parts using sheet moulding compound (SMC).

Somatic cell reprogramming as a tool for the conservation of genetic resources from endangered species

Conservation of endangered species has become increasingly urgent. This is evident given the rate of species extinction by 100 to 1000-fold, and global biodiversity has decreased. With current climate changes, these concerns will only grow. Assisted reproductive technologies can play a vitalrole in endangered species conservation. Many approaches are currently being utilized or explored, including animal cloning. Unfortunately, cloned animals are not genetically pure and therefore, are not valuable for use in breeding programs.

Helmet testing and impact modeling: an approach to better understand the problematic of concussion in short track speed skating

The sport of short track speed skating is an extremely fast paced sport, in which multiple skaters, reaching speeds upwards of 50 km/h, jockey for position on a narrow track. Although skaters wear protective equipment and helmets, concussions continue to plague the health of athletes. Currently, there are no statistics on the rates and prevalence of concussion in short track speed skaters.

Neuroimaging biomarkers of Parkinson’s disease identified through brain, brainstem and spinal cord imaging

In the current functional and structural neuroimaging project, we aim to identify functional and structural changes that correlate with disease presence and its severity  staging) and that can serve as a basis for future development of PD neuroimaging biomarkers. To achieve this objective we will use our expertise in functional neuroimaging of the cervical spinal cord (CSC), brainstem and brain (simultaneously), as well as in micro-structural neuroimaging of the spinal cord.

Spatiotemporal travel behavior modeling and analysis for better public transport systems

The public transportation system is crucial in alleviating urban congestion. The widespread of smart card automated fare collection (AFC) system produces massive data recording passengers’ day-to-day transport dynamic, which provides unprecedented opportunities to researchers and practitioners to understand and improve transit services. This project aims to make full use of the transit operational data (mainly smart card data) to enhance transit services. The main body of the research project is spatiotemporal behavior patterns mining.

Physically-Informed Vinyl Record Model for Real-Time Guitar Effect Processing

In the world of music, the warm, lo-fi response of vintage, analog electronic equipment is generally considered to deliver better sound than modern equipment. This is aptly demonstrated by guitar players who prefer vintage effect pedals, and music enthusiasts that prefer to enjoy music on vinyl records – despite the rising cost, difficult maintenance, and increasing scarcity of vintage equipment.

Applied Research in Performance Enhancement for Quantum Annealing

D-Wave Systems develops and manufactures quantum annealing processors. These processors implement a model of quantum computation that seeks to solve hard problems by exploiting quantum effects such as tunneling and superposition. The aim of this project is to study and improve the performance of quantum annealing processors by mitigating inherent and implementation-dependent failure mechanisms for near-term quantum annealing devices.

Human Body Capture and Prediction from Rehearsed Live Performances

We address the problem of 3D human body motion capture and prediction to be used in the context of a live music concert performances. The difficulty of capturing the motion of a performer in this context comes from the harsh environment in which it takes place that includes strong and varying lighting, smoke generators, and other visual pollution. The intern will develop novel technique for the capture and prediction of the motion of the performer, knowing that the performance has been rehearsed beforehand.

Research and Experimental Testing of Liquid-Injection Thrust Vector Control Actuator (LITVC)

Reaction Dynamics is a small-satellite launch vehicle company aiming to build a launch vehicle using a revolutionary type of rocket propulsion. Launch vehicles rely on a sophisticated Guidance, Navigation, and Control algorithm to precisely navigate and stabilize their vehicle during flight. The company requires an innovative method to accurately deflect the thrust force of the engines, and a previous literature review has led them to proceed with a Liquid-Injection Thrust Vector Control (LITVC) mechanism.

Evaluation of light emitting diode arrays for shipping container plant factories

Controlled plant factories are closed and insulated environments that can be automated and artificially illuminated. They may be built in recycled shipping containers that are mobile, carrying enormous potential for food crop production and addressing food security in remote areas. However, lighting technologies and light positioning in these factories has not been optimized for different plant species. Our objective is to improve lighting and plant production practices in small plant factories.