Canada’s critical infrastructure (e.g., bridges, pipelines, and nuclear power plants) is deteriorating at a rate that far outpaces the ability to replace it. A recent analysis of Ontario’s transportation infrastructure alone indicates over $5.1B is needed to replace assets that have reached the end of their lifecycle. Justifying the finances required for replacement/repair is challenging […]

The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment in 2021, as seen in the aftermath of the hugely impactful COP26 summit. Directing our financial resources in a sustainable direction has the potential to have a massive impact on helping us meet the Sustainable Development Goals […]

Standard cognitive assessments are normally administered over pen-and-paper or desktop computers. Although these tests are accessible, they are often administered by a trained professional to ensure protocol adherence, and shorter tasks are often repeated many times to mitigate the impact of anomalous trials. These considerations render the current practices costly and time-consuming. For this proposal, […]

Effective cloud deployment is a major challenge in the academic community. The rapid scalability and quick workload deployment benefits make it easy to overlook data security concerns and allow for runaway costs as a large workload can be provisioned that is difficult to manage effectively. This challenge presents an opportunity to develop reusable solutions to […]

This project consist in researching and implementing a set of algorithms to do semantic classification of short texts in social networks. The classification task consists in identifying relevant posts from social network in a specific context .Calculating the relevance of a posts is a difficult task that can be solved using semantic analysis. The goal […]

Network attacks are becoming more complex every day. It is crucial that we use tools that can detect these sophisticated attacks on networks so that we can identify malicious behavior and prevent attacks and intrusions. The use of machine learning to create intrusion detection engines is great, and we need enough data to train these […]

This project will use state-of-the-art advancements in artificial intelligence in order to automate and enhance the creation of virtual environments in virtual and augmented reality. By building upon previous successes incorporating artificial intelligence into the creation of 2D environments to enhance and guide the algorithmic generation process. By allowing the incorporated AI to respond and […]

Augmented reality (AR) and virtual reality (VR) enable exciting experiences such as virtual tourism or participation in a live concert from home. These applications are expected to benefit the society as well as being a source of significant revenues. However, such applications are very bit rate- and computation-intensive. The recent MPEG Immersive Video (MIV) format, […]

We will research ways of tracking user behavior on a mobile application, as well as being able to remotely update the application without having to update program code. Hence allowing customizations per user, and the ability to make the change at any time. The partner organization FarmAtHand will benefit by receiving a brand new mobile […]

The project will provide FarmAtHand – the partner organization a scalable and secure solution for making applications on multiple mobile platform like iOS, Android, and Windows Phone. With this solution FarmAtHand will benefit by receiving brand new mobile applications on iOS, Android, Windows Phone, and websites on which they can implement their farming approach. The […]

The project conducts a research to explore and investigate ways in developing a farm management tool that will assist farmers to have instant and secure access to information, and have the ability to update those information. Information updated on a device outside the coverage of wireless connection will be updated and synchronized when the device […]

Primary Objective: In this pilot project, in the short term, we propose to explore the risks associated with noise overexposure in music practice, to test innovative prevention strategies and to develop an auditory assessment protocol that responds to the specific or expressed needs of musicians and to test its feasibility (e.g. duration, number of sessions, […]