ParkSmart is an AI-powered parking analytics platform designed to make parking management more efficient, accessible, and sustainable for cities, campuses, and organizations. The system utilizes existing camera footage and applies computer vision and artificial intelligence to detect parked vehicles and identify stall occupancy in real time. Through this approach, ParkSmart generates live parking availability simulation […]

Nitrous oxide (N2O) is a powerful greenhouse gas with a global warming potential 298 times that of CO2, significantly contributing to climate change through agricultural activities, particularly the application of fertilizers. Accurate and scalable prediction of N2O emissions is essential for sustainable agriculture and climate mitigation. Current methods, such as LSTM-DLM neural networks proposed in […]

This project will create an AI-based tool that helps engineers detect hidden damage inside concrete structures—like bridges or buildings—using special thermal images. Right now, most damage is only found when it’s already serious, which can be costly and dangerous. This new tool uses heat patterns to find early signs of damage, making inspections faster, safer, […]

The One Okanagan Watershed project explores sustainable financing mechanisms to support regenerative practices and watershed security in the Okanagan River basin. Led by SFU ACT – Action on Climate Team and Salmon Nation CoLabs, the project has fostered the Okanagan Catalyst Network, engaging diverse stakeholders, including regenerative farmers, organic wineries, Indigenous groups, NGOs, universities, and […]

This project focuses on creating innovative transparent aerogels to make windows more energy-efficient. Windows are one of the biggest sources of energy loss in buildings, leading to higher heating and cooling costs. Current solutions like multi-pane glass and special coatings are expensive, heavy, and can reduce clarity. To solve these problems, we are developing a […]

A hedge is an investment position intended to offset potential losses, or in our case to pay off potential liabilities. Interest rates play an important role in hedging strategies and risk management for variable annuities and other long-term products. Financial institutions have an urgent need for practical and affordable dynamic hedging strategies. We propose a […]

Information published by financial news agencies is used as one of the inputs to make investment decisions. News articles from multiple sources can be used to gauge market sentiment towards an industry or a specific company. Deep learning techniques have been successful in producing state of the art results on various benchmark datasets (Dai & […]

Representations are fundamental to Artificial Intelligence. Typically, the performance of a learning system depends on its data representation. These data representations are usually hand-engineered based on some prior domain knowledge regarding the task. More recently, the trend is to learn these representations through deep neural networks as these can produce significant performance improvements over hand-engineered […]

Une bonne part du travail du stagiaire consistera à faire du travail d’échantillonnage sur le terrain pour prélever des échantillons de sol de la région du Témiscamingue et de la Haute Mauricie. Ces échantillons seront ensuite rapportés à l’université (UQTR), différentes analyses seront faites et l’ADN contenu dans le sol sera extrait. L’ADN correspondant aux […]

The Lil’wat Nation is working to foster community food security by restoring and activating Indigenous knowledge around traditional food systems. Our project examines ‘Ecosystem Services’ approaches as one way to support local food security while also protecting culturally-important environmental services. Led by a Lil’wat Food Committee, this project will engage community members in community planning […]

The purpose of this research is to validate the Functional Resilience Question-Air (FRQ; Kinley, 2016), an assessment tool based on scientific principles that use the latest research on resilience and neuroplasticity. Specifically, the Functional Resilience Question-Air identifies employees’ personal strengths, providing them with a global resilience score as well as a personalized development plan. Designed […]

In the summer of 2017, GM of Canada will be launching several employee engagement campaigns pertaining to sustainability goals. This project will determine how the control of different variables could lead to more or less employee engagement. These variables include the communication medium, the reward mechanism, and the depth of technical detail. By better understanding […]