Developing a mobile screening tool that could predict impairment by leveraging the power of machine learning models

There is a growing need for law enforcement agencies and safety sensitive workplace environments to be able to evaluate impairment. Impairment due to mental cognitive deficits, drugs or alcohol use, prescription medications, or fatigue could all limit a person’s ability to perform a hazardous task safely. Current testing tools utilize saliva, breath, blood or urine […]

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Improving Operational Resource Efficiencies through the Application of Model-Based Reinforcement Learning (MBRL)

Reinforcement learning (RL) is the problem of designing an agent that interacts with its environment and adaptively improves its long-term performance. Many complex real-world industrial decision-making problems can be formulated as an RL problem. RL is at the core of artificial intelligence and has the potential of having a huge impact on our economy and […]

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Machine/Deep Learning applied in P&C insurance representations

The purpose of this project is to allow the company to have access to useful insurance representations, encoding the diversity of contexts found in larger markets. This is expected to boost the performance of predictions for tasks learned in small data and highly variable target setting.

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Social Game Analytics: Using Metrics to Improve Player Engagement II

In this internship we aim to develop an analytics system that targets quick conversion of game data to knowledge that allows game designers to quickly grasp the sources of engagement and disengagement of users while interacting with video games. This proposed system can benefit Blackbird Interactive Inc. by providing a method to tune their designs […]

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Évaluation précoce de la bioproductivité d’un système agroforestier sur les rejets miniers aurifères en région nordique canadienne

L’industrie minie?re est une importante source d’emplois et ge?ne?re de conside?rables retombe?es e?conomiques, contribuant de manie?re significative a? l’e?conomie du Que?bec a? l’e?chelle mondiale. Son de?veloppement peut modifier radicalement les e?cosyste?mes et les paysages. La durabilite? du secteur minier que?be?cois doit entre autres viser la restauration des biens et services e?cosyste?miques apre?s l’exploitation minie?re. En […]

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Intelligence artificielle appliquée pour l’analyse, l’optimisation et l’innovation (cohorte 2)

Ce projet vise à développer et approfondir les connaissances et techniques nécessaires à la mise en oeuvre des algorithmes d’intelligence artificielle sur des données issues du monde réel. En partenariat avec de multiples acteurs industriels de la grande région de Québec, la Faculté de Science et Génie de l’université Laval, au travers de ses étudiants […]

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Industrialisation des méthodes de compensation d’erreur d’usinage

Ce projet vise la mise en application de certaines techniques d’anticipation des défauts de fabrication par la modification de la commande de coupe de machine-outil. Ces techniques sont développées dans le cadre du projet de doctorat de l’étudiant. Après discussion avec notre partenaire, nous constatons qu’il est envisageable de mettre en oeuvre ces techniques de […]

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Advancing municipal natural asset management through monitoring & engagement

Canadian local governments are seeking new strategies to deliver their core services in more financially and environmentally sustainable ways, including turning to infrastructure asset management as a key tool to manage infrastructure. Municipalities are increasingly recognizing that natural assets such as aquifers, forests, streams and foreshores can provide equivalent or better services to many engineered […]

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Summer-season streamflow prediction model for the Oldman River Basin

Reliable monthly and seasonal streamflow predictions are essential for optimal planning of water resources, particularly for reservoir operation and planning applications. Streamflow predictions can also improve water use efficiency and provide early drought and flood warning. The importance of streamflow forecasting is rising with climate change, causing more frequent and hazardous flood and drought events. […]

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Optimized Design of Building-Integrated Photovoltaic Sunshades

The proposed project involves the creation of a computational framework to optimize the design of building integrated photovoltaic sunshades. Such shades would allow improved lighting conditions within the indoor environment, while generating power through the photovoltaic panels. The design framework takes in design constraints such as the allowable size of the shade, the location and […]

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A New Way Forward: Using Biocultural Approaches to Conservation in Key Biodiversity

Canada is a signatory to global conservation agreements to increase the number and coverage of protected areas in the country. Key Biodiversity Areas (KBAs) are a science-based planning tool that can help governments, industry, environmental groups and Indigenous Nations target the right places to protect in terms of habitat for wildlife and to ensure these […]

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Developing octenyl succinic maltodextrins as replacements for per- and polyfluoroalkyl substances in molded fiber bowls

In this Mitacs proposal, the Carbohydrate Chemistry and Utilization Program at the University of Saskatchewan (Usask) aims to collaborate with a leading producer of compostable molded fiber bowls ? SustainaPulp Canada Inc. ? to develop replacements for per- and polyfluoroalkyl substances (PFASs) in their products. The alternatives will be prepared from maltodextrins, a common food […]

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