Underwater acoustic propagation modeling was largely advanced by the world’s Navies from WWII until the early 2000’s. Growing evidence of the effects of sounds from human activities on marine life has made propagation modeling relevant to a much broader community including marine biologists, ecologists, regulators and environmental non-governmental organizations. In this project we aim to […]

The proposed project will involve the development of a method to grow polymer brushes from a surface using oxygen tolerant controlled radical polymerization approaches. This method will allow for the growth of block copolymer brushes that can be used for the grafting of specialized monomer species capable of forming an efficient organic light emitting diode […]

The project entails designing a new CMOS Image Sensor with wide dynamic range capabilities. In the frame of this project David will learn and understand the design of previous versions of the wide dynamic range sensor and will help design a new and improved version of the sensor. David will also acquire experience and tools […]

In order to provide more reliable electricity, facilitate clean enery integration and supply energy to remote communitites, part of the power grid may be required to operate autonomously. Microgrids which can be islanded from teh main grid, are deployed for this purpose. However, the compositions and objectives of microgrids vary in different applications and operating […]

The purpose of the project is to advance training in isotopic analysis. This will be achieved by a comparative isotopic pilot study to assess the degree to which techniques used can nuance the origins of modern animals in Australia, in advance of a larger study of material from the Early Bronze Age Middle East. The […]

The proposed project aims to look at different ways of combining touch and visual stimuli to enhance the awareness of a humanoid robot during interaction with humans. The goal is to have the robot capable of reacting to more complicated forms of touch. For example, allowing the robot to be physically repositioned through different combinations […]

Deep neural networks are effective at image classification and other types of predictive tasks, achieving higher accuracy than conventional machine learning methods. However, unlike these other methods, the predictions are less interpretable. While accuracy may be enough for applications where errors are not costly, for real world applications, we want to also know when the […]

The applicant will be participate in the Vital cities project alongside Professor Jurian Edelenbos and his colleagues. The project will allow for better understanding of how youth engage with others, particularly with diverse groups of other youth, in social change and community betterment activities. This project seeks to understand how and why youth engage in […]

The proposed research will contribute to an empirical analysis of the utility of the Electronically Activated Recorder (EAR) and Athlete Coding System for Social Environments in Sport (ACSSES) to assess auditory observational data for meaningful social processes related to social identity in youth sport teams. We anticipate that observational data collected from participants’ social interactions […]

There are thousands of mobile apps available for download that are geared towards health and fitness, yet limited research evaluating the real-world effectiveness of such apps exists. The MOVR app is designed specifically to enhance one’s functional abilities, fitness, and functional well-being through personalized exercise prescriptions based on individual needs. While MOVR has had anecdotal […]

La production de l’énergie électrique nécessite des actuateurs mécaniques de grande puissance. Au Canada, la puissance mécanique provient principalement des turbines hydrauliques activées par les rivières. Cependant, dans plusieurs pays, elle provient des turbines thermiques qui utilisent de la vapeur générée par des centrales à combustibles fossiles ou nucléaires. En Amérique du Nord, plusieurs de […]

This project focuses on improving the performance of the real-time video streaming over Wi-Fi networks, in which losing packets is a serious concern. State-of-the-art methods try to improve the robustness of AL-FEC mechanisms by providing unequal protection to the packets. But such approaches are complex and increase even more the delays. In contrast, the proposed […]