Influencing buyer behavior with Intelligent Marketing and team performance with digital coaching.

The proposed project aims to define and apply a set of AI rules based on customer sentiment, loyalty and purchase behavioral data using data from Drive CX customer experience management platform. The rules would generate “hyper-personalized” marketing offers that result in measurable increases in loyalty and Customer Lifetime Value (CLTV). The deliverable would be a […]

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Muscle Oxygenation characteristics of elite middle-distance runners

Middle-distance running events require a high blend of endurance alongside speed and power characteristics, to produce a fast rate of energy production in large capacities. Oxygen delivery is one of the limitations to enhancing the rate of energy production, which in part is determined by the ability of the muscle to extract oxygen delivered in […]

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Healthy and Sustainable Housing in Indigenous Communities

Healthy and sustainable housing is a critical social determinant of health and well-being. In Indigenous communities, decades of ineffective government housing and land policy have created abysmal, often culturally inappropriate housing conditions. Through partnership with First Nations, we will explore and uncover solutions to answer these questions: What if we could co-create Indigenous homes to […]

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Understanding the impact of changes to blood donation deferral screening and criteria for men who have sex with men – Year two

Available evidence suggests that up to 71% of individuals will require blood or blood products at some point in their lives. To meet this demand, Canadian Blood Services estimates that approximately 100,000 new donors are required annually. However, current blood donation guidelines in Canada require a 3-month deferral period for men who have sex with […]

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Accelerating discovery through high-throughput experimentation and machine learning – Year two

Canonical methods of molecular discovery and reaction optimization rely on “trial-and-error” approaches and slow experimentation with low discovery rates. By harnessing high-throughput experimentation (HTE) with machine learning (ML) methods, artificial intelligence (AI) and robotics, we have the potential to dramatically accelerate the discovery and preparation of next generation molecules and materials. We will extract, unify, […]

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Integrating thermal storage in hybrid renewable mine energy systems; a techno-economic feasibility assessment

As a major contributor to Canadian industrial carbon emissions, miners are placing more emphasis on decarbonization efforts by developing greener strategies and sourcing cleaner energy for their mining operations. Despite some progress, decarbonization attempts by mining companies have been underwhelming mainly due to the financial challenges of renewable system implementations. This study aims to perceive […]

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Autobot: Data-driven metadata tagging of building automation systems

As Building Automation Systems (BAS) are becoming a standard in commercial buildings, and additional 3rd party applications can help buildings owners gain insights from their BAS, structured metadata management becomes the key to success. However, as converting traditional sensors naming convention to structured tagging systems is an expensive and time-consuming process, this project aims at […]

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Assessing Sport Performance Using Mobile EEG

Perhaps one of the most tantalizing goals of a coach or trainer is to determine how best to maximize athlete performance. In recent years there has been an explosion in the wealth of data related to athlete training and performance – such as a better understanding of athlete mental health and the impact it has […]

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Next-Generation Coating Materials for Architectural Lighting

Architectural and decorative lighting have significant impacts on our daily lives, especially our moods and mental health. We propose to combine supramolecular chemistry and cellulose nanocrystal gels, two intriguing research field in chemistry and material sciences, in order to develop the next-generation coating materials for architectural lighting. Such gel materials have the ability to change […]

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Simulating dynamics of flux qubits with charge and hybrid flux noise

D-Wave Systems has designed processors based on a scalable architecture that aim to implement quantum annealing, an algorithm that can be used to solve a wide variety of optimization problems. A minimal requirement for a device to perform quantum annealing is that it maintains coherence throughout an appreciable fraction of the annealing protocol. In reality, […]

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Development of a UV-LED air purifier for indoor air

Indoor air is contaminated by a variety of chemical and microbial contaminants. These contaminants can be effectively removed or inactivated using a process known as photocatalysis. In this method, a photocatalyst is chemically activated using ultraviolet (UV) radiation and readily degrade the contaminants when coming in contact with them. The application of newly emerged ultraviolet […]

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