This project aims to develop and analyze innovative pneumatic powertrain configurations for vehicular applications. It is intended to bring potential investors to Canada to this project and to collaborate with academic and partner organizations. Since the transportation sector is a significant contributor to Canada’s GHG emissions (25%), alternative solutions to conventional powertrain technologies carries significant […]

Porphyrins are useful bioinspired molecules that interact with both light and electrical energy in unique ways. Using a recently developed method to attach them to surfaces, we are applying these molecules to materials for safer surfaces and renewable energy. The first application is to safely prevent unwanted microbial growth in hospital settings, food packaging, and […]

Au Canada, 44 430 amputations du membre inférieur ont été réalisées entre 2006 et 2011, avec une incidence de 22.9 pour 100 000 individus. Près du quart de ces personnes utilisent une prothèse sur une base quotidienne. Cependant, le port de la prothèse entraîne régulièrement des inconforts et de la douleur, et ce, notamment au […]

Le cancer de l’ovaire est le cancer gynécologique le plus mortel en Amérique du Nord. Le traitement de 1ere ligne repose sur une chirurgie de résection combinée à une chimiothérapie à base de carboplatine et de paclitaxel. Malheureusement, chez une femme sur quatre, ce traitement s’avérera inefficace, occasionnant des effets secondaires lourds sans gain clinique […]

The proposed research focuses on developing biochar-plastic composite materials to support the product development goals of the industry partners. In this study, the intern will be accessing the effect of biochar properties and extrusion conditions on the properties of biochar-plastic composite materials and identify an optimum operating condition and formulation that results in higher mechanical […]

TuniStrong is developing commercial system for the utilization of tunicates (an invasive species) to produce cellulose nanocrystals. The cellulose nanocrystals from tunicates have higher aspect ratio as compared to plant-based cellulose nanocrystals and provides higher reinforcement when used as a filler in composites. The proposed project focuses on understanding the effect of operating conditions of […]

Sound walls are a common solution used to minimize irritating sounds in buildings and sensitive areas. Instead of using drilled shafts. An innovative foundation system for sound walls termed innovative post (steel foundation) has been developed by Atlantic Industries Limited (AIL). Steel piles can be rapidly deployed and put to use swiftly. The purpose of […]

Presently, sound wall foundation design for steel piles is being governed by the effects of the freeze-thaw cycles. The deformations produced by the freeze-thaw cycles cause structural damage and can be seen as an important index to judge the stabilities of structures in cold regions. A very limited number of studies investigated pile design within […]

This research project aims to use a combination of historical data and physics principles to determine a ratio of batteries to gasoline to power a vertical takeoff and landing aircraft. The physics method that will be used is called momentum theory. Momentum theory is a simplistic model of helicopter flight that determines how much power […]

Tasks involving lifting, pushing, and carrying (e.g., lifting laundry, cleaning the floor) are often challenging, especially for seniors and people with limited mobility. On stairs, performing these tasks becomes dangerous, potentially leading to serious injury (falls, back strain, etc.). Quantum Robotic Systems Inc. (QRS) addresses this problem by making unique mobile service robots. In particular, […]

This summer student position will help define Atare Food’s technology needs for future mobile application. Intern will work on several tasks that would ultimately define minimum viable product for the organization.

Computer Vision techniques and algorithms, especially those involving deep neural networks, are now predominant in robotics and autonomous driving. These algorithms have found immense success in urban scenes for autonomous driving, and visualize 3D maps of cities. However, like most deep learning solutions, they do not generalize well over a large varieties of inputs. Thus, […]