Our project will investigate reasons for and against posthumous organ donation, and aims to better understand the motives and deterrents for becoming, or not becoming, a registered organ donor. The results of this study will inform the development of public awareness campaigns designed to address the concerns and viewpoints of the Canadian public and have […]

In 2009 the Government of Ontario enacted the Green Energy Act (GEA) to promote the development of renewable energy projects. Subsequently, the importance of wind generation both for electricity generation and in public debate has grown dramatically in Ontario. While the GEA simplified the regulatory process for developing renewable energy projects, wing turbine siting has […]

The research project will involve the development of features and techniques to aid people with communication disabilities through the use of consumer mobile devices (ex. smartphones) and tablet computers. Some of the major areas of interest include: location aware vocabularies, predictive sentence construction, and support for alternative input for people that also suffer from motor […]

My project investigates the colonial development of Japan’s national identification (ID) systems, and the transformation of those surveillance techniques in our digital age. National ID systems identify individuals with a centralized ID number, collect and use the different kinds of personal data for multiple purposes. Those ID techniques have spread rapidly in the “war on […]

This research project will track, analyse and examine the effectiveness of Success Beyond Limit’s (SBL) Youth Space and Jobs Program. Operating in a low-income and marginalized setting, youth that attend SBL’s programming find it difficult to secure (and keep) meaningful employment. This research project will capture those experiences of these young people, identify the barriers […]

During the internship in collaboration with RootCellar Technologies, research will be conducted towards the design of an adaptive machine-learning solution and its integration with the existing RootCellar framework for automated evaluation and management of information security risk in small and medium size enterprise networks. The existing framework is very advanced in terms of end-point risk […]

The project would explore the use of modern techniques from the field of Machine Learning to identify networks from observational data. This is an important area of research in fields such as neuroscience and genetics, where it can shed light on the nature of various disease. Other applications include discovering influencers and communities in social […]

The transfusion of red blood cells (RBCs) is a lifesaving procedure for many patients. While the Canadian blood supply is safe and consistently meets demand, the primary method for the storage of RBCs prior to transfusion is refrigeration at 4°C for a maximum of 42 days, a process which can lead to inefficiencies and discards. […]

Meaningful parameters can be extracted from data that describes a person walking as time progresses. Gait asymmetry is one such parameter that has been shown to be correlated to the likelihood of a person falling. More generally, the variability in gait parameters can be used for human fall prediction. Currently, models used to describe gait […]

There is currently a great need to develop better imaging probes for studying biological process. In this proposed internship, Drs. Pacheco and Hashir will be evaluated an aluminum coated alloyed quantum dot system. These quantum dots are brighter than organic fluorophores and with the aluminum surface coating, these quantum dots are less pervious to environmental […]

Most of today’s computers, from cell phones to supercomputers, are heterogeneous: they integrate processors that are optimized to quickly execute a few tasks (CPU cores), and processors that can perform many independent tasks in parallel (GPU cores). GPU cores and CPU cores have different instruction sets: they understand different languages. A task written for CPUs […]

This cross-disciplinary project aims to investigate underlying philosophical questions in the acquisition, management and production of scientific big data. Big data analytics (BDA) continues to produce an overwhelming amount of information which can be challenging to make use of due to its size, density and complexity. BDA is ubiquitous in forecasting and decision making but […]