Smartphones are becoming a combination of a mobile phone, a digital wallet and mini personal computer all rolled into one place which adds to the need for such virtual space. Virtualization of space or what is generally known as Mobile Virtualization Platform (MVP) include servers, storage and applications into a single solution to eliminate complexity, […]

To ensure high performance for AMD’s graphics cards, the company performs extensive testing on computer game titles. Most gameplay testing is done manually, which results in significant effort and cost expenditure. Thus, this project’s objective is to develop a program capable of learning to automatically play a modern video game. Rather than aiming to optimize […]

Suicide is one of the most important causes of deaths in the prison environment, both in Canada and internationally. Rates of attempts of suicide and self-harm have been on the rise in recent years. To address this problem, there is a real and immediate need for an automated, private, and effective monitoring system that can […]

The project aims to study the use of advanced machine learning algorithms to enhance the ability of TRCA to detect shoreline erosion. Accurate detection of shoreline erosion will have significant contribution to optimizing TRCA asset management plans. This will enable TRCA to work with local communities to reduce the impacts of climate change on shoreline […]

Food security is a serious public health concern in the Guelph region, with prevalence of food insecurity surpassing the provincial and national averages. There is a need for community-based interventions to support individuals and families struggling with food insecurity and related poor nutrition and health. The proposed research aims to evaluate the impacts and acceptability […]

This research will investigate the chemical content in the furniture sold by Teknion. The presence of chemicals of concern and their associated potential human health risks will also be determined using guidelines approved by Health Canada and other jurisdictions. The findings from this research will enable Teknion to formulate evidence based guidelines for reducing their […]

We are building a machine-learning algorithm to be able to understand the unstructured clinical notes better and to identify the most appropriate ICD codes for each visit. This algorithm will help healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick patients are, what procedures are performed […]

Intrusion Detection System (IDS) is used to protect internal networks of companies and organizations against malicious activities and policy violations. These systems are typically under the full control of the local system administrator. In this project, we propose to use Homomorphic Encryption techniques to design and implement an Intrusion Detection System that can run as […]

Human’s gait, and activity monitoring play important roles in many applications that can have a positive impact on improving the ability of individuals to be as independent, secure, and healthy as possible. Most existing technologies rely on cameras and wearables, while people are not always compliant and need to be wearing them with a battery […]

Community science, the public participation and collaboration in monitoring and research, is rapidly emerging as an effective means to collect vast quantities of data in a cost-efficient manner. This may prove invaluable to conservation efforts, as using crowd-sourced data to inform decisions can allow managers to redirect limited funds towards action rather than monitoring. My […]

Accurately recommending items of interests is essential for users to improve their experience. To acquire better performance, a recommender system can utilize multiple sources of data and the social knowledge graph. This can lead to efficient use of information to improve the recommender system. By exploring the data and extract crucial features to feed to […]

In this project, we would like to study the problem of object manipulation in a real-world scenario. We assume three major settings in the environment – the object is non-rigid, oniy offline dataset is available and the input is high-dimensional images which are hard to be handled by classical control models. Recent successes in deep […]