Exploring applications of Machine Learning and Quantum Computing in optimization, finance, and the healthcare industry

MITACS interns at 1QBit will aid in the research and development of experimental usage of quantum and classical hardware devices for industry use including, healthcare, finance, advanced materials, and optimization. Interns will have the opportunity to work alongside academics and research teams. MITACS interns will gain the practical experience of applying their knowledge for industry […]

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Comprehensive Study of Tri-generation System based on ClimatwWellTechnology for Canadian Residential Homes

A feasibility study will be conducted for a proposed tri-generation (generation of heat, electricity and cooling) using a Stirling engine and a ClimateWell heat activated chiller. The Stirling engine will provide simultaneous heat and electricity from burning natural gas. The heat from the engine will be transferred to either space heating, domestic hot water heating, […]

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Fabrication of Bifacial Silicon Heterojunction Solar Cells Optimized for the Arctic

Replacement of fossil fuels with solar photovoltaic technology is an effective way to mitigate global greenhouse gas emissions. While solar panel deployments are considered most productive for regions of lower latitude and high sunlight hours, they can also be of great benefit in northern communities where use of fossil fuel has a disproportionally high impact, […]

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Developing ‘all-natural’ approaches to food-grade Malic acid production

Malic acid is a naturally-occurring chemical found in fruits such as blueberries, apples, cherries and grapes. Malic acid gives food a sour or tart taste. Because of this, it is an important food additive used to balance sweetness or salt. Examples of industrial malic acid use in snack foods are sour gummy candies and flavoured […]

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Stories Incarnate: Using Body-tracking/Body-Sensing Technology to Create Interactive Narrative Experiences for Audiences

Ryerson’s Synaesthetic Media Lab is working with Cirque du Soleil Entertainment Group’s creative design studio, 4U2C, to develop several ways for audiences to meaningfully interact with live performance. This project is looking at how tracking sensors, computer vision, and digital displays can be used to track audience movements and/or emotions for audiences to be able […]

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IoT Big-data-based network performance analytics

The main objective of the project is to upgrade the existing system at Cheetah Networks to make use of Canadian cellular CAT M1 monitored network data to develop innovative QoE analytics that can be used to provide actionable insights. The system will explore applying new techniques to capture in real-time QoE visibility into experiences locally, […]

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Curiosity driven reinforcement learning for molecular design

Organic molecules are used in many areas, for example in drugs or solar cells. However, the development of new organic molecules with desired properties is difficult, time-intensive, and requires a lot of trial and error. A new line of research uses artificial intelligence to partially automate this process and make it more reliable. This project […]

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Investigating the affect of chlorine carbides on fracture toughness in zirconium alloys used for nuclear applications

Zirconium alloys are used extensively in nuclear reactor cores for key components such as fuel assemblies and pressure tubes. It is extremely important that the in-service behavior of these components is well characterized to ensure they remain fit-for-service. This work will investigate the relationship between harmful impurity elements, specifically chlorine, and the fracture toughness of […]

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Investigating the affect of chlorine carbides on fracture toughness in zirconium alloys used for nuclear applications – Year two

Zirconium alloys are used extensively in nuclear reactor cores for key components such as fuel assemblies and pressure tubes. It is extremely important that the in-service behavior of these components is well characterized to ensure they remain fit-for-service. This work will investigate the relationship between harmful impurity elements, specifically chlorine, and the fracture toughness of […]

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A Dynamic Predictive Lead Scoring System for Inside Sales

Lead scoring is essential for lead management. The result of lead scoring is a list consists of leads with scores assigned indicating how likely each lead can be converted into the next stage of sales process. The Lamb or Spam and the Rule-Based are the two lead scoring methods that have been discussed in the […]

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