Prediction of NOx formation by a DC Plasma Torch

Industries using fossil fuels as their energy source contribute to global warming as the required energy for their processes is supplied by combusting fossil fuels. CO2, a greenhouse gas, is a product of combustion. Using electricity generated by hydropower as the heat source may eliminate CO2 emissions. One of the commercially available electric heaters is […]

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Stacking Fhb1, photoperiod/anthesis and plant height genes in elite winter wheat lines

Wheat is a major staple food crop. Winter wheat has higher yield potential than spring wheat. Fusarium head blight (FHB), mainly caused by Fusarium graminearum is one of the major diseases of wheat. FHB related traits (visual symptoms, fusarium damaged kernels-FDK and deoxynivalenol-DON) are influenced by multiple genes or quantitative trait loci (QTL) with small […]

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Satellite Technologies for Space Situational Awareness (SSA)

Today, small satellites are launched in large constellations like Starlink and Globalstar for space-based services, such as communications and weather monitoring. This rapid growth in space objects has become a real threat for space operation. In response to this issue of the growing population of space objects, Magellan is developing technologies to provide extensive and […]

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Cancer drug discovery-small molecule synthesis

The interns will be working in medicinal chemistry on two projects: the design and synthesis of drugs targeting the cyclin dependent kinase, CDK1; and the design of small molecule inhibitors of mutant KRAS. Both of these proteins are commonly involved in cancer initiation. In neither case are there good drugs available to patients. Although separate […]

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Defocus and Aberration Modeling for RGBInfrared Cameras

Conventional camera sensors record three color channels: red, green and blue. In this project we will investigate computational photography algorithms for cameras that record a near-infrared channel (NIR) in addition to RGB. This channel is particularly useful for biometric imaging and holds great potential in consumer imaging applications as well. The key challenge in simultaneously […]

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Line of Business Explainability

Current planning/business analytics platforms automate time-consuming manual budgeting, forecasting, and reporting processes to help business users (e.g., financial officer, human resources, merchandising, marketing, or sales) make business decisions. Moreover, end users often use the interactive “what-if” analyses to understand the data from different perspectives and gain insights. However, the current way of presenting the analysis […]

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Multisensor Integration for UAV Indoor Navigation and Mapping

UAVs are becoming essential solutions in a wide range of industries. In this market growth, the potential of UAVs to fly in indoor environments represents a massive opportunity for companies. In particular, for applications such as medical care, search and rescue operations, and industrial management and inspections. The main concern of UAVs flying indoors is […]

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Quantum Machine Learning for Doppler Radar Signal Processing in Clutter

Quantum computers are no longer fantasises of distant future. Recent advances in quantum computing hardware as well quantum algorithms offer a wide variety of possibilities to improve existing classical algorithms. Some of the operations involved in the standard classical algorithms might be performed much more efficiently using quantum machines. The current proposal will explore the […]

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Creating a Framework for Social Enterprise as a Bridge to Employment and Self Sufficiency for Kingstonians Living in Social Housing

Youth living in social housing often face a number of challenges to success, including histories of intergenerational poverty, high rates of mental health and substance use issues, limited educational attainment, and weak or absent work histories. Secure employment is one approach to addressing key social determinants of health, including having a secure income, food security, […]

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Integrating autonomously recorded audio data with traditional field surveys to improve detectability estimates for North American birds

Around the world, birds have been declining at an alarming rate. It is therefore important that conservationists use as many resources as they can when making informed conservation decisions. Autonomous recording units (ARUs) have become an increasingly popular choice for monitoring bird populations, because they can be left in highly remote regions (such as Canada’s […]

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TouchTech Startup Project – Communitech

This project will focus on the building and rollout of a member portal to support idea and discovery stage firms who do not have a dedicated resource on the Communitech team. Our goal is to provide these founders with better navigation to resources, a deeper sense of community and access to our advisory services during […]

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Applications of Tensor Neural Networks to pricing early-exercise options

An early-exercise option is a financial agreement which grants one party the right, but not the obligation, to buy or sell an underlying asset at a pre-agreed price at a series of pre-determined times. The problem of pricing an option is of great practical importance and is typically addressed using computationally expensive numerical simulation methods. […]

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